《SPSS统计分析实例精选》

《SPSS统计分析实例精选》(清华大学出版社 2006.3蔡建琼)

程序与数据

*请把以下的每个程序逐一粘贴到SPSS的Sytanx 窗口运行.

TITLE '程序1.1'.

TITLE '老龄人社会保障抽样调查'. TITLE ' '中的内容是标题名称. DATA LIST FREE/age n. BEGIN DATA. 45,2 50,3 28,1 30,1 46,3 60,4 24,0

END DATA.

GRAPH /BAR(GROUPED)= age BY n .

TITLE '程序1.2'.

DATA LIST/id1 1-2 caseid 3-5 name 6 sex age 8-9 edc 10 ocu1 11 ocu2 12 sal1 13-15 sal2 16-18 v1 19 v2 20 v3 21 v4 22 v5 23.

BEGIN DATA. *告诉SPSS，数据行从下一行开始读之. 11001116031015012021214 11002116542218018011210

请自编自演几百行数据 11030227023013012021310 END DATA.

TITLE '老龄人社会保障抽样调查’. TITLE ’’ ’中的内容是标题名称'.

FREQ ocu1 ocu2/V。 *画出退休前和退休后职业分布的条形图.

TITLE '程序2.1'.

TITLE '一个小小的TITLE '程序'.

DATA LIST RECORD=1/id1 1-4 id2 6-7 sex 9 age 11-12 income 14-17. BEGIN DATA.

0001 01 1 30 2500 0002 01 2 29 2300 0002 01 1 28 2100 0002 01 2 32 2400 0001 02 1 30 2200

0002 02 2 29 2500 0002 02 1 28 2300 0002 02 2 32 2600 END DATA.

COMPUTE Gage=age.

RECODE Gage（LO THRU 30=1）（30 THRU 50=2）（50 THRU HI=3）. VARIABLE LABEL sex '性别'/ Gage '年龄分组'. VALUE LABEL sex 1 '男' 2 '女'. SELECT IF（id2=01）. FREQUENCIES Gage sex.

TITLE '程序2.2'.

DATA LIST/id 1-5 sex 6 age 7-8 educ 9

dw 10 gz1 11-14 gz2 15-18 dsj 19 gg 20 jg 21-24 ns 25-26 cs 27-28 v1 29 v2 30 v3 31 v4 32 v5 33 v6 34 v7 35 v8 36 v9 37 v10 38. BEGIN DATA.

00001126011500100014470002002424825122 00002233120700090022250003033413141222 END DATA.

MISSING VALUE sex educ dw (0)， age (00)， gz1 gz2 jg(0000) dsj gg ns cs(00)， v1 to v10 (0).

TITLE '程序2.3'.

DATA LIST FILE=’D:\\2.dat’/id 1-5 sex 6 age 7-8 educ 9 dw 10 gz1 11-14 gz2 15-18 dsj 19 gg 20 jg 21-24 ns 25-26 cs 27-28 v1 29 v2 30 v3 31 v4 32 v5 33 v6 34 v7 35 v8 36 v9 37 v10 38.

MISSING VALUE sex educ dw(0)， age (00)，gz1 gz2 jg(0000) dsj gg ns cs(00)， v1 to v10 (0).

*数据文件D:\\2.dat,请拷贝放在D:\\上. 00001126011500100014470002002424825122 00002233120700090022250003033413141222

TITLE '程序2.4'.

DATA LIST/id 1-5 sex 6 age 7-8 educ 9

dw 10 gz1 11-14 gz2 15-18 dsj 19 gg 20 jg 21-24 ns 25-26 cs 27-28 v1 29 v2 30 v3 31 v4 32 v5 33 v6 34 v7 35 v8 36 v9 37 v10 38. BEGIN DATA.

00001126011500100014470002002424825122 00002233120700090022250003033413141222 END DATA.

MISSING VALUE sex educ dw (0)， age (00)， gz1 gz2 jg(0000) dsj gg ns cs(00)， v1 to v10 (0). SAVE OUTFILE=’D:\\TITLE '程序2.4.sav’.

TITLE '程序2.5'.

GET FILE=’D:\\TITLE '程序2.4.sav’. IF （sex<1 OR sex>2） error=1. LIST id error.

TITLE '程序2.6'.

DATA LIST Fixed/id 1-2 Locaton 4 age 6-7 Vf 9 Vm 11 height

13-15(2)/score1 1-3 score2 5-7.

VARIABLE LABEL /location 1 '家住城市' 2 '家住农村' /v1 '父亲职业' /v2 '母亲职业'

/score1 '高考得分'/score2 '高考满分'. VALUE LABEL Vf,Vm 1 '工人' 2 '农民' 3 '教师' 4 '医生' 5 '干部'. MISSING VALUE age (00),Vf Vm (0). BEGIN DATA. 01 1 23 4 4 165 520 640

02 1 22 5 1 170 497 640

06 1 21 5 1 175 500 640

08 1 21 4 0 176 500 640

12 2 21 2 2 168 505 640 END DATA.

List Variable=id age height.

TITLE '程序3.1（数据文件D:\\98b.SPS）'.

DATA LIST /id 1-2 age 3-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 hight 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 will 25 zy 26 xd 27 qj 28 yinc1 29-33 yinc2 34-38 pay1 to pay3 39-47

zo1 to zo3 48-50 bz 51. BEGIN DATA.

012014756075016309025731141560000960002001000501355 022017755175016011213732141324000240002001502002474 032017354475017813226731141348000480003000500101351 042111160475017214225731742424000240002000500508148 052011158875016811012732741314400144002000300051344

062024258875016811026712141415000375002000200201454 072111158375016812623512541318000240004003001001455 082122257075016512024531544608400084003001000401343 092014058575016210625732543518000180001000000052344 102014757175017413212721144609600180002501501005435 112017756275016910023712141312000120001500500104585 122014355975016012526732142504560045601200200304584 132022259275017013470031752512000120002002000108001 142017359375018014014611121324000240002004000501455 151814359575016109312312142418000180003003500502363 172011545060016010023722721330000300004002001002455 182014460575016010012632141312000240002500500204584 192122259175016810612631544501200012002700200501455 202022260175017113012531742503600036002400100501355 222014457175017713523431141318000180003000000103453 232022256575016713226031741306000060002500500501581 2421144???90018414026031742519200360004003000301588 251911184590016210512332151530000300002000300503454 262114183390017411425731131318000180002000300604314 272217783290017915026731141312000120002000100108002 281914383890016512512332141321600216002001000502355 292122282790017012012531542403600072002201000101355 301921262275017212012031142518000360002002001003153 312017159875016214512732142609600096002002000504574 322014159775015709512312141321600216002000501003505 332011161675016011616732142419200192002001000503455 342026659475017211213531542412000240003002000501585 352011159875015608912712141512000120002000500503454 362111159075015909012332151312000120002002001007544 370014358175016315025631751324000240003000200301455 382013456075017413012511751324000240003001000501381 392111178490015011012732141309600096002000500505005 402013380990017511616711142418000360003001002003455 411913359675016908826712111348000720002002000505424 END DATA. .

VARIABLE LABEL id '个案号' age '学生的年龄' location '(学生家庭住址)' vf '父亲职业' vm '母亲职业' s1 '学生高考成绩'

s2 '高考各门总分' hight '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无朋友'/sex '(学生性别)'

/criterio '最先择偶标准'/ZY '择业途径'/XD '兄弟姐妹' /QJ '全家人口'/YINC1 '父母年收入'/YINC2 '全家年收入' /PAY1 '月伙食费'

/PAY2 '月娱乐费'/PAY3 '月购书费'/ZO1 '择偶标准1'/ZO2 '择偶标准2'

/ZO3 '择偶标准3'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等' 6 '无正式工作' /location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'

/sex 1 '男生' 2 '女生'

/ZO1 TO ZO3 1 '相貌' 2 '文化水准' 3 '气质风度' 4 '志同道合' 5 '人品' 6 '家庭条件' 7 '本人收入' 8 '其他' /ZY 1 '靠父母' 2 '靠亲朋' 3 '学校推荐' 4 '自荐' 5 '其他' /will 1 '深造' 2 '任教' 3 '科研单位' 4 '到国企' 5 '去公司' 6 '去乡镇企业' 7 '其他'.

MISSING VALUE age (00) v (0) like1 to like3 (0),s1 yinc1 yinc2(000). COMPUTE Gweight=weight.

RECODE Gweight (LO THRU 100=1) (100 THRU 110=2) (110 THRU 120=3) (120 THRU 130=4) (130 THRU HI=5).

VALUE LABEL Gweight 1 '100斤以下' 2 '100至110斤' 3 '110至120斤' 4 '120至130斤' 5 '130斤以上'.

RECODE hight (LO THRU 160=1) (160 THRU 170=2) (170 THRU 180=3) (180 THRU HI=4).

VALUE LABEL hight 1 '学生身高1.6米以下' 2 '身高1.6-1.7米' 3 '身高1.7-1.8米' 4 '身高1.8米以上'. COMPUTE score=(s1/s2)*100. COMPUTE Gscore=score. FORMAT Gscore (F2.0).

RECODE Gscore (LO THRU 70=1) (70 THRU 75=2)

(75 THRU 80=3) (80 THRU 83=4) (83 THRU 86=5) (86 THRU HI=6).

VALUE LABEL Gscore 1 '平均70分以下' 2 '70-75分' 3 '75-80分' 4 '80-83分' 5 '83-86分' 6 '86分以上'.

VARIABLE LABEL score '(学生高考成绩占满分的百分数)'. COMPUTE GYINC1=YINC1. COMPUTE GYINC2=YINC2. COMPUTE GPAY1=PAY1. COMPUTE GPAY2=PAY2.

COMPUTE GPAY3=PAY3.

RECODE GYINC1 GYINC2 (lo THRU 5000=1) (5001 THRU 10000=2)

(10001 THRU 15000=3)(15001 THRU 20000=4)(20001 THRU 25000=5) (25001 THRU 30000=6)(30001 THRU 35000=7)(ELSE=8).

VALUE LABEL GYINC1 GYINC2 1 '5000元以下' 2 '5001-10000元' 3 '10001-15000元' 4 '15001-20000元' 5 '20001-25000元' 6 '25001-30000元' 7 '30001-35000元' 8 '35000元以上'.

RECODE GPAY1 (Lo THRU 100=1)(101 THRU 200=2)(201 THRU 300=3) (301 THRU 400=4)(401 THRU 500=5)(500 THRU HI=6). VALUE LABEL GPAY1 1 '100元以下' 2 '101-200元' 3 '201-300元' 4 '301-400元' 5 '401-500元' 6 '500元以上'.

RECODE GPAY2 GPAY3 (Lo THRU 50=1)(51 THRU 100=2)(101 THRU 150=3)

(151 THRU 200=4)(200 THRU 250=5)(250 THRU HI=6).

VALUE LABEL GPAY2 GPAY3 1 '(50元以下)' 2 '(51-100元)' 3 '(101 THRU 150元)' 4 '(151 THRU 200元)' 5 '(200 THRU 250元)' 6 '(250元以上)'. COMPUTE GGscore=score.

VALUE LABEL GGscore 1 '平均80分以下' 2 '80以上'. FREQUENCIES score/sta=mean. FREQUENCIES sex v age zo1. SAVE OUTFILE=’D:\\98b.sav’.

TITLE '程序3.2'.

GET FILE=’D:\\98b.sav’. IF (age GE 18)group=1.

*/或IF (age >=18) group=1. IF (age LT 18)group=2.

*/或IF (age < 18) group=2. IF (location EQ 1) group2=1. */或IF (location=1) group2=1. IF (sex NE 1) group3=1.

*/或IF (sex ~=1) group3=1. LIST ALL.

TITLE '程序3.3'.

GET FILE=’D:\\98b.sav’. IF(sex>2) error=1.

TITLE '程序3.4'.

GET FILE=’D:\\98B.SAV’. COMPUTE gscore=score.

RECODE gscore(LO THRU 80=1)(80 THRU 83=2)(83 THRU HI=3).

TITLE '程序3.5'.

GET FILE=’D:\\98B.SAV’.

RECODE age(0 THRU 20=1)(20 THRU 40=2)(40 THRU 60=3) (60 THRU 100=4).

TITLE '程序3.6'.

GET FILE=’D:\\98B.SAV’.

COUNT num=score1(LO THRU 60) score2(90 THRU HI). LIST id num .

TITLE '程序3.7'.

GET FILE=’D:\\98B.SAV’.

IF (NOT score/5 EQ 80) group=3. LIST id group.

TITLE '程序4.1（98b.sps）'.

DATA LIST /id 1-2 age 3-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 hight 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 will 25 zy 26 xd 27 qj 28 yinc1 29-33 yinc2 34-38 pay1 to pay3 39-47

zo1 to zo3 48-50 bz 51 t1 52-53 t2 54-55. BEGIN DATA.

0120147560750163090257311415600009600020010005013558593 0220177551750160112137321413240002400020015020024748084 0320173544750178132267311413480004800030005001013519990 0421111604750172142257317424240002400020005005081489698 0520111588750168110127327413144001440020003000513449480 0620242588750168110267121414150003750020002002014548484 0721111583750168126235125413180002400040030010014559988 0821222570750165120245315446084000840030010004013437076 0920140585750162106257325435180001800010000000523448194 1020147571750174132127211446096001800025015010054359880 1120177562750169100237121413120001200015005001045859996 1220143559750160125267321425045600456012002003045849990 1320222592750170134700317525120001200020020001080019660 1420173593750180140146111213240002400020040005014559575 1518143595750161093123121424180001800030035005023636878 1720115450600160100237227213300003000040020010024558590 1820144605750160100126321413120002400025005002045849987 1921222591750168106126315445012000120027002005014559596 2020222601750171130125317425036000360024001005013558980 2220144571750177135234311413180001800030000001034539999 2320222565750167132260317413060000600025005005015818278 2421144000900184140260317425192003600040030003015889875 2519111845900162105123321515300003000020003005034547882 2621141833900174114257311313180001800020003006043149995 2722177832900179150267311413120001200020001001080028572 2819143838900165125123321413216002160020010005023559098 2921222827900170120125315424036000720022010001013557275

3019212622750172120120311425180003600020020010031538270 3120171598750162145127321426096000960020020005045748993 3220141597750157095123121413216002160020005010035059397 3320111616750160116167321424192001920020010005034558273 3420266594750172112135315424120002400030020005015857165 3520111598750156089127121415120001200020005005034549987 3621111590750159090123321513120001200020020010075448096 3700143581750163150256317513240002400030002003014559988 3820134560750174130125117513240002400030010005013817587 3921111784900150110127321413096000960020005005050056070 4020133809900175116167111424180003600030010020034559985 41191335967501690882671211134800072000200200050542460 END DATA. .

VARIABLE LABEL id '个案号' age '学生的年龄' location '(学生家庭住址)' vf '父亲职业' vm '母亲职业' s1 '学生高考成绩'

s2 '高考各门总分' hight '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无朋友'/sex '(学生性别)' ZY '择业途径'/XD '兄弟姐妹'

/QJ '全家人口'/YINC1 '父母年收入'/YINC2 '全家年收入' /PAY1 '月伙食费'

/PAY2 '月娱乐费'/PAY3 '月购书费'/ZO1 '择偶标准1'/ZO2 '择偶标准2' /ZO3 '择偶标准3'/bz '最先择偶标准'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等' 6 '无正式工作' /location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'

/sex 1 '男生' 2 '女生'

/ZO1 TO ZO3 1 '相貌' 2 '文化水准' 3 '气质风度' 4 '志同道合' 5 '人品' 6 '家庭条件' 7 '本人收入' 8 '其他' /ZY 1 '靠父母' 2 '靠亲朋' 3 '学校推荐' 4 '自荐' 5 '其他' /will 1 '深造' 2 '任教' 3 '科研单位' 4 '到国企' 5 '去公司' 6 '去乡镇企业' 7 '其他'.

MISSING VALUE age (00) v (0) like1 to like3 (0),s1 yinc1 yinc2(000). COMPUTE Gweight=weight.

RECODE Gweight (LO THRU 100=1) (100 THRU 110=2) (110 THRU 120=3) (120 THRU 130=4) (130 THRU HI=5).

VALUE LABEL Gweight 1 '100斤以下' 2 '100至110斤' 3 '110至120斤' 4 '120至130斤' 5 '130斤以上'.

RECODE hight (LO THRU 160=1) (160 THRU 170=2) (170 THRU 180=3) (180 THRU HI=4).

VALUE LABEL hight 1 '学生身高1.6米以下' 2 '身高1.6-1.7米'

3 '身高1.7-1.8米' 4 '身高1.8米以上'. COMPUTE score=(s1/s2)*100. COMPUTE Gscore=score. FORMAT Gscore (F2.0).

RECODE Gscore (LO THRU 70=1) (70 THRU 75=2)

(75 THRU 80=3) (80 THRU 83=4) (83 THRU 86=5) (86 THRU HI=6).

VALUE LABEL Gscore 1 '平均70分以下' 2 '70-75分' 3 '75-80分' 4 '80-83分' 5 '83-86分' 6 '86分以上'.

VARIABLE LABEL score '(学生高考成绩占满分的百分数)'. COMPUTE GYINC1=YINC1. COMPUTE GYINC2=YINC2. COMPUTE GPAY1=PAY1. COMPUTE GPAY2=PAY2.

COMPUTE GPAY3=PAY3.

RECODE GYINC1 GYINC2 (lo THRU 5000=1) (5001 THRU 10000=2)

(10001 THRU 15000=3)(15001 THRU 20000=4)(20001 THRU 25000=5) (25001 THRU 30000=6)(30001 THRU 35000=7)(ELSE=8).

VALUE LABEL GYINC1 GYINC2 1 '5000元以下' 2 '5001-10000元' 3 '10001-15000元' 4 '15001-20000元' 5 '20001-25000元' 6 '25001-30000元' 7 '30001-35000元' 8 '35000元以上'. RECODE GPAY1 (Lo THRU 100=1)(101 THRU 200=2)(201 THRU 300=3) (301 THRU 400=4)(401 THRU 500=5)(500 THRU HI=6). VALUE LABEL GPAY1 1 '100元以下' 2 '101-200元' 3 '201-300元' 4 '301-400元' 5 '401-500元' 6 '500元以上'.

RECODE GPAY2 GPAY3 (Lo THRU 50=1)(51 THRU 100=2)(101 THRU 150=3)

(151 THRU 200=4)(200 THRU 250=5)(250 THRU HI=6).

VALUE LABEL GPAY2 GPAY3 1 '(50元以下)' 2 '(51-100元)' 3 '(101 THRU 150元)' 4 '(151 THRU 200元)' 5 '(200 THRU 250元)' 6 '(250元以上)'. COMPUTE s=t1*.35+t2*.65. FORMAT s(f2.0). LIST id s.

sort cases by s. LIST id s. FREQ bz/BAR.

SAVE OUTFILE=’TITLE '程序4.1.sav’.

TITLE '程序4.2'.

DATA LIST/v1 1 v2 2-4(1) v3 5-7(1) v4 8-10(1) v5 11-13(1) V6 14-16(1) V7 17-19(1) V8 20-22(1) V9 23-25(1).

VALUE label v1 1 '美国' 2 '日本' 3 '前西德' 4 '法国'. VALUE label v1 1 'Mei' 2 'Riben' 3 'Xide' 4 'Fa'.

VARIABLE LABEL v1 \国名\专业技术：%' v3 '行政管理：%'

v4 '办事员：%' v5 '销售员：%' v6 '农林渔业：%' v7 '工人：%' v8 '服务员：%' v9 '其他人员：%'.

VALUE label v1 1 '美国' 2 '日本' 3 '前西德' 4 '法国'. BEGIN DATA.

1143101173 61 28330135 29 2 72 37153143113368 88 20 3128 31189 85 57353108 49 4155 33140 73 96360 80 63 END DATA.

COMPUTE GV2=V2. COMPUTE GV3=V3.

CLUSTER v2 v3 v4 v5 TO V9. COMPUTE NL=V5+V2+V3+V4. COMPUTE TL=V6+V7+V8+V9.

VARIABLE LABEL NL '脑力劳动者' TL '体力劳动者'.

RECODE NL TL (LO THRU 20=1)(20 THRU 40=2)(40 THRU 60=3) (60 THRU 80=4) (80 THRU hi=5).

VALUE LABEL NL TL 1 '10%以下' 2 '10%～20%' 3 '20%～30%' 4 '30%～40%' 5 '40%以上'. COMPUTE per=nl/tl*100.

VARIABLE LABEL per '脑力劳动者占体力劳动者的比重'. sort cases by nl v1. LIST V1 NL TL.

TITLE '程序5.1：数据的正态性检验'.

DATA LIST/v1 1-6 v2 7-12 v3 13-18 v4 19-24 v5 25-29 v6 30-35 v7 38-42 v 43.

VARIABLE LABEL v1 '脑血管病' v2 '心血管病' v3 '癌症' v4 '呼吸系病' v5 '动脉硬化性心脏病' v6 '伤亡事故' v7 '传染病' v '省份名称' . BEGIN DATA.

136.97109.48 76.32 74.5255.23 46.47 24.651 128.80 95.29 79.42 69.2052.18 28.31 26.912 104.03 74.30140.66 71.7622.50 48.16 11.903 101.41126.62 98.13 89.5155.48 40.38 50.514 58.76 61.74 91.09 81.5821.08 61.92 38.045 70.49109.64 72.47 81.0920.90 40.11 26.976 55.93148.51 56.25153.9400.00101.24 81.657 73.86 99.84 63.09153.3800.00054.23 93.068 END DATA.

VALUE LABEL 1 '北京' 2 '天津' 3 '上海' 4 '河北' 5 '福建' 6 '辽宁'

7 '四川' 8 '西藏'.

TITLE '1973年～1975年我国部分省市男性死因分析'. Explore v1

/PLOT BOXPLOT STEMLEAF HISTOGRAM NPPLOT /STATISTICS DESCRIPTIVES EXTREME.

TITLE '程序6.1'.

TITLE 'cluster(行)*v1(列)的交叉分类表'.

DATA LIST/v1 1 v2 2-4(1) v3 5-7(1) v4 8-10(1) v5 11-13(1) V6 14-16(1) V7 17-19(1) V8 20-22(1) V9 23-25(1).

VARIABLE LABEL v1 \国名\专业技术：%' v3 '行政管理：%'

v4 '办事员：%' v5 '销售员：%' v6 '农林渔业：%' v7 '工人：%' v8 '服务员：%' v9 '其他人员：%'.

VALUE label v1 1 '美国' 2 '日本' 3 '前西德' 4 '法国'. BEGIN DATA.

1143101173 61 28330135 29 2 72 37153143113368 88 20 3128 31189 85 57353108 49 4155 33140 73 96360 80 63 END DATA.

COMPUTE GV2=V2. COMPUTE GV3=V3.

CLUSTER v2 v3 v4 v5 TO V9. COMPUTE NL=V5+V2+V3+V4. COMPUTE TL=V6+V7+V8+V9.

RECODE NL TL (LO THRU 20=1)(20 THRU 40=2)(40 THRU 60=3) (60 THRU 80=4) (80 THRU hi=5).

VALUE LABEL NL TL 1 '10%以下' 2 '10%～20%' 3 '20%～30%' 4 '30%～40%' 5 '40%以上'. COMPUTE per=nl/tl*100.

VARIABLE LABEL per '脑力劳动者占体力劳动者的比重'. FREQ nl tl/BAR.

SAVE OUTFILE=’D:\\4G.sav’.

TITLE '程序6.2'.

GET FILE=’D:\\4G.sav’. SORT CASES BY nl v2. LIST nl v2.

TITLE '程序6.3'.

GET FILE=’D:\\4G.sav’.

SELECT IF(v1 <=2 & gv2 >=10). LIST vl gv2.

TITLE '程序6.4：9293级部分本科生成绩信息'. DATA LIST /xh 1-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 height 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 score 25-26.

VARIABLE LABEL xh '个案号' location '(学生家庭住址)' vf '其父的职业' vm '其母的职业' s1 '学生高考成绩'

s2 '高考各门总分' height '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无对象?' sex '(学生性别)'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等' 6 '无正式工作' /location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'

/sex 1 '男生' 2 '女生'.

MISSING VALUE like1 to like3(0),s1 s2(000). BEGIN DATA.

92011444707401571102002293 92021335386401781503001184 92032125056401781281502182 92041445106401550922401276 92051416406401691103401185 92062455086401771441402194 92071444706401580842311288 92081335026401761205001183 92091435006401571002341290 92101454936401661763401169 92121435106401801322342183 92141435206401741342001185 92161355006401701182002281 92172225106401651141242180 92181345026401711161252187 92202324866401671021252190 92221414986401651201231275 92232225206401711301002191 92242325256401701201242186 92252225186401711241252179 92262225176401701281502184 92282225196401651301222177 92291135196401701102402183 92301335186401621061201291 92312225026401801241521190

92321445096401601762302292 92331445196401751201452180 92341435106401791422002183 92351445947001581001231295 92362255176401611102002183 92372324946401550961252285 92381155006401701205001175 92392225897101701143001183 92401415036401721085002170 93011115527501631021251286 93032225817501581121241281 93081436406401551041202282 93111445056401651265201282 01231455026401620962001286 02221554976401681281261184 06221554806001801341242168 08221415106401761183561183 09221435106401781561242189 10211445106401671061231294 12212225056401731202472183 13222225266401671262302183 14211445306401751401252180 17211435286401651002601285 18212125276401671102001185 19211355296401541001072285 20211335406401731304702185 21212225266401601102102286 22212255136401661242702188 25201445226401691181271188 26232555276401621043201291 27221555536401671201001196 28211445426401650931230285 29201445306401731461571186 30221465056401731281300170 31221115016401621041702284 32202125176401520841231289 33212155156401511007002186 34212327779001651401002181 35211557709001651265612190 36212225256401751207002179 39202455276401791227001184 40202324926001560881260286 41212224946001741227001189 43222226087201601052341189

44001435146401751766001178 45001225977101671101002185 46201432654001851401602164 END DATA.

COMPUTE s=s1/s2*100.

COMPUTE LNscore=LG10(score). COMPUTE LNS=LG10(s).

FORMAT lnscore (COMMA4.0).

VARIABLE LABEL s '入学成绩__高考均分'/score '当前成绩'. SAVE OUTFILE=’D:\\9293.sav’.

TITLE '程序6.5、程序6.6'. GET FILE=’D:\\9293.sav’. SAMPLE 0.3. FREQ xh.

TITLE '程序6.7'.

GET FILE=’D:\\9293.sav’. N 30.

TITLE '程序6.8'.

GET FILE=’D:\\9293.sav’. weight BY sex . FREQUENCIES sex.

TITLE '程序6.9'.

DATA LIST FIXED/v1 1-2 v2 4 v3 6. weight BY v1. BEGIN DATA. 50 1 1 40 2 1 20 1 2 10 2 2 END DATA. CROSSTABS v2 BY v3.

TITLE '程序6.10'.

DATA LIST FIXED/v1 1-2 v2 4 v3 6. weight BY v1.

BEGIN DATA. 50 1 1 40 2 1 30 1 2 20 2 2

END DATA.

CROSSTABS v2 BY v3.

TITLE '程序7.1'.

DATA LIST/id1 1-5 id2 6-7 age 8-9 v2 10 v3 11-12

v4 to v5 13-14 v51 15 v52 16-17 v53 18 v6 to v19 19-32 v20 33-34 v21 to v29 35-43 v291 to v292 44-45 v30 to v33 46-49 v34 50-51 v35 to v45 52-62. BEGIN DATA.

00731015310711406021121121224322021112112620012610351613212124 00732013611411605022121333312311071112112620012510913532312121 *照此自编30行.一定不要照猫画虎,要善于对比.

01058013841251403011111363313342011216113120012520122222106121 01059014910911406022121363313442021227113420012510252422101336 01060013541111108042320000000002032243223620022350823622418221 END DATA .

RECODE v51 v53(0=9)/v52(00=99)/v291 v292(0=9)/age(99=00) /v3(99=00). MISSING VALUE

age (00) v2 v51 v53 v291 v292(0) v52(00)

v4 to v5 (0) v51 v53(9) v52 (99) v6 to v19 (0)

v20 (00) v21 to v29 v291 to v292(0) v291 to v292 (9) v30 to v33 (0) v34 (00) v35 to v40(0) v42 to v45 (0). VARIABLE LABEL

age '(年龄)'/V2 '(政治面貌)'/V3 '(教育年限)'/v4 '(婚姻状况)'

/v5 '(是否在职）'/v51 '(您的职业)'/v52 '(所有制)'/v6 '(经济形势)' /v7 '(三年脱困)'/v8 '(世贸组织)'/v9 '(加入世贸会给您家)'

/v10 '(加入世贸织您会)'/v11 '(住房改革)'/v12 '(住房给您带来)' /v13 '(对医疗改革)'/v14 '(医疗改革会给您)'

/v15 '(近几年社会收入)'/v16 '(党风状况)'/v17 \三讲'效果)\ /v18 '(党员作用)'/v19 '(惩治腐败的信心)'

/v20 '(对社会担心)'/v21 \学习'邓论')\政治工作)' /v23 '(政治工作需要与否)'/v24 '(教育形式)'/v25 '(生活质量)' /v26 '(久病时)'/v27 '(相信命运？)'/v28 '(最恨的陋习)' /v29 '(宗教信仰)'/v30 '(女人一生)'/v31 '(人际关系)'

/v32 '(出远门否)'/v33 '(获取信息的方式)'/v34 '(业余时间用于)' /v35 '(业余学习)'/v36 '(读书看报)'

/v37 '(爱看的书报)'/v38 '(影响妇女进步)'/v39 '(最大困难)' /v40 '(向谁求助)'/v41 '(看待妇联组织)'/v42 '(社区吸引力)' /v43 '(参加妇联活动)'/v44 '(妇联工作评价)' /v45 '(希望妇联提供帮助)'.

VALUE LABEL V2 1 '中共 党员' 2 '民主 党派' 3 '无党 派' 4 '群众' /V4 1 '已婚' 2 '未婚' 3 '离婚' 4 '丧偶' 5 '再婚' /V5 1 '在职' 2 '不在职'

/v51 1 '农林牧渔' 2 '运输工人' 3 '商业服务' 4 '党政干部' 5 '一般干部' 6 '技术人员' 7 '警察军人' 8 '其他' /v52 1 '国有企业' 2 '集体企业' 3 '民营企业' 4 '党政机关' 5 '事业单位' 6 '乡镇企业' 7 '三资企业' 8 '土地承包' 9 '个体经营' 10 '其他'

/v53 1 '学生' 2 '家庭妇女' 3 '下岗失业' 4 '离退休' 5 '健康原因' 6 '其他'

/v6 1 '很好' 2 '一般' 3 '面临矛盾' 4 '说不清楚'

/v7 1 '能够实现' 2 '基本实现' 3 '难以实现' 4 '无法实现' 5 '说不清楚'

/v8 1 '赞成' 2 '不赞成' 3 '无所谓'

/v9 1 '很大收益' 2 '有所收益' 3 '无变化' 4 '一定损失' 5 '很大损失' 6 '说不清楚'

/v10 1 '提高自我' 2 '不知所措' 3 '莫不关心' 4 '其他' /v11 1 '赞成' 2 '不赞成' 3 '无所谓'

/v12 1 '很大益处' 2 '有点益处' 3 '变化不大' 4 '一定损失' 5 '很大损失' 6 '无所谓'

/v13 1 '赞成' 2 '不赞成' 3 '无所谓'

/v14 1 '很大收益' 2 '一定收益' 3 '毫无益处' 4 '一定损失' 5 '很大损失'

/v15 1 '贫富悬殊' 2 '差距减小' 3 '基本不变' 4 '无感觉' /v16 1 '明显好转' 2 '有所好转' 3 '无变化' 4 '趋向恶化' 5 '不关心'

/v17 1 '非常明显' 2 '比较明显' 3 '一般' 4 '基本没有' 5 '不知道'

/v18 1 '模范榜样' 2 '混同百姓' 3 '自私自利' 4 '贪污腐败' 5 '不了解'

/v19 1 '有信心' 2 '信心不大' 3 '没信心' 4 '说不清楚'

/v20 1 '稳定发展' 2 '经济效益' 3 '腐败问题' 4 '失业问题' 5 '住房问题' 6 '医疗改革' 7 '社会保障' 8 '社会治安' 9 '社会风气' 10 '其他'

/v21 1 '注重学习' 2 '应该学习' 3 '不用学习' 4 '干部的事' 5 '说不清楚'

/v22 1 '有针对性' 2 '空洞说教' 3 '没接触过' 4 '不知道' /v23 1 '需要' 2 '有时需要' 3 '不需要' 4 '根本不需'

/v24 1 '领导讲话' 2 '事迹报告' 3 '知识竞赛' 4 '文艺节目' 5 '群众活动' 6 '谈心' 7 '其他'

/v25 1 '很大提高' 2 '有点提高' 3 '停滞不前' 4 '有所下降' 5 '急剧下降'

/v26 1 '积极治病' 2 '勉强支撑' 3 '乞求神灵' 4 '练功强身' 5 '其他'

/v27 1 '相信' 2 '半信半疑' 3 '根本不信'

/v28 1 '修庙敬神' 2 '封建迷信' 3 '铺张浪费' 4 '酗酒' 5 '赌博' 6 '虐待妇孺' 7 '男尊女卑' 8 '其他'

/v29 1 '是' 2 '否'

/v291 1 '基督教' 2 '天主教' 3 '伊斯兰教' 4 '佛教' 5 '道教' 6 '藏传佛教'

/v292 1 '教人向善' 2 '求神庇护' 3 '受人影响'

4 '精神寄托' 5 '赎罪忏悔' 6 '喜欢教义' 7 '其他' /v30 1 '有事业' 2 '好家庭' 3 '有钱' 4 '其他'

/v31 1 '相互关心' 2 '冷漠疏远' 3 '权钱交易' 4 '其他' /v32 1 '本乡镇' 2 '本县' 3 '本市(区)' 4 '本省城' 5 '外省' 6 '国外'

/v33 1 '广播电视' 2 '报刊杂志' 3 '网络' 4 '电话' 5 '串门聊天' 6 '其他'

/v34 1 '读书看报' 2 '看电视' 3 '体育锻炼' 4 '文娱活动'

5 '公益活动' 6 '加班' 7 '兼职' 8 '家务劳动' 9 '教育子女' 10 '逛商场' 11 '其他'

/v35 1 '文化学习' 2 '业务学习' 3 '外语电脑' 4 '职业培训' 5 '没有学习' 6 '其他'

/v36 1 '每天都看' 2 '经常看' 3 '偶尔看' 4 '从来不看'

/v37 1 '时事政治' 2 '经济类' 3 '文艺类' 4 '法制类' 5 '体育类' 6 '医疗保健' 7 '综合类' 8 '子女教育' 9 '其他'

/v38 1 '历史造成' 2 '性别歧视' 3 '家务负担' 4 '智力不如' 5 '不自强' 6 '其他'

/v39 1 '家庭负担' 2 '子女教育' 3 '住房紧张' 4 '夫妻关系' 5 '工作不顺' 6 '养老负担' 7 '其他'

/v40 1 '当地政府' 2 '单位' 3 '亲朋' 4 '邻里' 5 '社区组织' 6 '大众传媒' 7 '妇联组织' 8 '其他' /v41 1 '娘家等' 0 '无作用等' 9 '不答漏答'

/v42 1 '文娱活动' 2 '体育锻炼' 3 '书画展览' 4 '游艺活动' 5 '图书阅览' 6 '知识讲座' 7 '座谈演讲' 8 '评选先进' 9 '其他'

/v43 1 '很愿意' 2 '可以参加' 3 '无所谓' 4 '不愿意'

/v44 1 '很活跃' 2 '一般' 3 '无作用' 4 '无群众性' 5 '其他' /v45 1 '法律帮助' 2 '文化技术' 3 '育儿家教' 4 '家庭服务' 5 '托幼托老' 6 '就业培训' 7 '其他'. COMPUTE GV3=V3. COMPUTE Gage=age.

RECODE GV3(LO THRU 6=1)(7 THRU 9=2)(10 THRU 12=3)(13 THRU 15=4) (16 THRU HI=5)/v5 (4=1).

VARIABLE LABEL GV3 '学历分组'/Gage '年龄组'. VALUE LABEL

GV3 1 '6年以下' 2 '初中' 3 '高中' 4 '13至15年' 5 '16年以上' /Gage 1 '25岁以下' 2 '26至35岁' 3 '36至45岁' 4 '46至55岁' 5 '56至65岁' 6 '65岁以上'. RECODE Gage(LO THRU 25=1)(26 THRU 35=2)(36 THRU 45=3) (46 THRU 55=4)(56 THRU 65=5)(66 THRU HI=6)

/v2(1=1)(2=2)(3=3)(else=4)

/v52(1=1)(2=2)(3=3)(4=4)(5=5)(6=6) (7=7)(8=8)(9=9)(else=10) /v53(1=1)(2=2)(3=3)(4=4)(5=5)(else=6) /v4(1=1)(2=2)(3=3)(4=4)(else=5) /v16(1=1)(2=2)(3=3)(4=4)(else=5) /v29(1=1)(else=2)

/v34(1=1)(2=2)(3=3)(4=4)(5=5)(6=6)(7=7)(8=8) (9=9)(10=10)(else=11). SAVE OUTFILE='E:\\bjfl.sav'.

FREQUENCIES age V3/FORMAT=NOTABLE/STATISTICS=MIN MAX MEAN.

FREQUENCIES Gage GV3 V2 V4 V5 V6 TO V29 V30 TO V45/STATISTICS=MODE. COMPUTE gv2=v2.

VARIABLE LABEL GV2 '政治面貌'.

RECODE gV2(3,4=3)(1=1)(else=2)/V4(1=1)(2=2)(3,5=3)(4=4) /V51(1=1)(2,3=3)(4,5=4)(7,8=8)(else=6)

/V52(1=1)(2,3,6=3)(4,5=5)(8,9,10=8)(else=7).

VALUE LABEL gV2 1 '中共党员' 2 '民主党派' 3 '无党派，群众'. RECODE V53(1,6=1)(2,4=4)(3=3)(else=5)

/V20(1,8,9=1)(2,4=4)(5,6=5)(7,10=7)(else=3) /V28(1,2,3=1)(4=4)(5=5)(7,8=7)(else=6) /v292(1,6=1)(2,4=2)(5,7=5)(else=3). RECODE V35(1=1)(2,4=2)(3=3)(5=5)(6=6)

/V37(1=1)(2,4=2)(3,6,5=6)(7,9=7)(else=8) /V38(1=1)(2=2)(3=3)(4=4)(else=5). RECODE v39(1=1)(2=2)(3,6=3)(5,7=5)(else=4) /v40(1,2=1)(3,4=3)(5=5)(6,8=6)(else=7) /v42(1,4=1)(3,5=3)(6,7=6)(8,9=8)(else=2) /v45(1=1)(2,6=6)(3=3)(5,7=5)(else=4) /v16(1=1)(2=2)(3=3)(4=4)(else=5). RECODE v9(1,2=2)(3=3)(4,5=5)(else=6) /v12(1,2=2)(3=3)(4,5=5)(else=6) /v24(1,2=1)(3,5=3)(6,7=6)(else=4) /v32(1,2=2)(3=3)(4=4)(5=5)(else=6). RECODE v34(1,2=1)(5=5)(6,7=6)(8,9=9)(else=4) /v33(1=1)(2,3=2)(5,6=5)(else=4) /v30 (5=2).

VALUE LABEL gV2 1 '中共党员' 2 '民主党派' 3 '无党派' /V4 1 '已婚' 2 '未婚' 3 '离婚或再婚' 4 '丧偶'

/v51 1 '农林牧渔' 3 '商业或运输' 4 '党政干部' 6 '技术人员' 8 '军警及其他'

/v52 1 '国有企业' 3 '集体民营乡企' 5 '机关事业单位' 7 '三资企业' 8 '包地个体及其他'

/v53 1 '学生及其他' 4 '家庭妇女及离退休' 3 '下岗失业' 5 '健康原因'

/v20 1 '稳定发展治安风气' 4 '效益与失业' 3 '腐败问题' 5 '医住改革' 7 '社会保障及其他' /v28 1 '修庙迷信铺张浪费' 4 '酗酒'

5 '赌博' 6 '虐待妇孺' 7 '男尊女卑等' /v29 1 '是' 2 '否'

/v291 1 '基督教' 2 '天主教' 3 '伊斯兰教' 4 '佛教' 5 '道教' 6 '藏传佛教'

/v292 1 '教善教义' 2 '求神寄托' 3 '受人影响' 5 '赎罪忏悔等'

/v33 1 '广播电视' 2 '报刊网络' 4 '电话' 5 '串门聊天等' /v34 1 '书报电视' 4 '文体逛商场等'

5 '公益活动' 6 '加班兼职' 9 '家务教育子女' /v35 1 '文化学习' 2 '业务学习与培训' 3 '外语电脑' 5 '没有学习' 6 '其他'

/v37 1 '时事政治' 2 '经济法制' 6 '文体保健' 7 '综合类等' 8 '子女教育'

/v38 1 '历史造成' 2 '性别歧视' 3 '家务负担' 4 '智力不如' 5 '不自强等'

/v39 1 '家庭负担' 2 '子女教育' 3 '住房养老' 4 '夫妻关系' 5 '工作不顺等'

/v40 1 '政府单位' 3 '亲朋邻里' 5 '社区组织' 6 '大众传媒等' 7 '妇联组织'

/v42 1 '文娱游艺' 2 '体育锻炼' 3 '书画图书' 6 '讲座座谈' 8 '评先进等'

/v43 1 '很愿意' 2 '可以参加' 3 '无所谓' 4 '不愿意'

/v44 1 '很活跃' 2 '一般' 3 '无作用' 4 '无群众性' 5 '其他' /v45 1 '法律帮助' 3 '育儿家教' 4 '家庭服务' 5 '托老幼等' 6 '文化培训'.

* BASIC TABLES. TABLES

/FORMAT BLANK MISSING('.') /FTOTAL $t 'Group Total'

/TABLES (v5 > (STATISTICS) + $t ) BY (v34 + $t ) /STATISTICS count((F5.0))

cpct((PCT5.1) 'Row %':v5).

TITLE '程序7.2：产生图7.7～图7.9的命令'. GET FILE=’E:\\bjfl.sav’.

FREQUENCIES age V3/FORMAT=NOTABLE/STATISTICS=MIN MAX MEAN.

FREQUENCIES Gage GV3 V2 V4 V5 V6 TO V29 V30 TO V45/STATISTICS=MODE. BASIC TABLES. TABLES

/FORMAT BLANK MISSING('.') /FTOTAL $t 'Group Total'

/TABLES (v5 > (STATISTICS) + $t ) BY (v34 + $t ) /STATISTICS

count( ( F5.0 ))

cpct( ( PCT5.1 ) 'Row %':v5 ). * BASIC TABLES. TABLES

/FORMAT BLANK MISSING('.') /FTOTAL $t 'Group Total'

/TABLES (v5 > (STATISTICS) + $t ) BY (v34 + $t ) /STATISTICS

count( ( F5.0 ))

cpct( ( PCT5.1 ) 'Row %':v5 ). * BASIC TABLES. TABLES

/FORMAT BLANK MISSING('.') /FTOTAL $t 'Group Total' /TABLES (gage + $t )

BY (v31 > (STATISTICS) + $t ) /STATISTICS

cpct( ( PCT5.1 ) 'Col %':v31 ). * BASIC TABLES. TABLES

/FORMAT BLANK MISSING('.') /FTOTAL $t 'Group Total' /TABLES (v2 + $t )

BY (v31 > (STATISTICS) + $t ) /STATISTICS

cpct( ( PCT5.1 ) 'Row %':v2 ). * BASIC TABLES. TABLES

/FORMAT BLANK MISSING('.') /FTOTAL $t 'Group Total' /TABLES (v5 + $t )

BY (v31 > (STATISTICS) + $t ) /STATISTICS

cpct( ( PCT5.1 ) 'Row %':v5 ). * BASIC TABLES.

TABLES /FORMAT BLANK MISSING('.')

/FTOTAL $t 'Group Total' /TABLES (v51 + $t ) BY (v31 > (STATISTICS) + $t ) /STATISTICS cpct( ( PCT5.1 ) 'Row %':v51 )

/SORT ASCENDING v51 v31 .

TITLE '程序8.1：见文件“D:\\98.sps”'. TITLE ’98级部分本科生数据D:\\98.spsv’.

DATA LIST /id 1-2 age 3-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 hight 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 will 25 zy 26 xd 27 qj 28 yinc1 29-33 yinc2 34-38 pay1 to pay3 39-47

zo1 to zo3 48-50 bz 51 t1 52-53 t2 54-55. BEGIN DATA.

0120147560750163090257311415600009600020010005013558593 0220177551750160112137321413240002400020015020024748084 0320173544750178132267311413480004800030005001013519990 0421111604750172142257317424240002400020005005081489698 0520111588750168110127327413144001440020003000513449480 0620242588750168110267121414150003750020002002014548484 0721111583750168126235125413180002400040030010014559988 0821222570750165120245315446084000840030010004013437076 0920140585750162106257325435180001800010000000523448194 1020147571750174132127211446096001800025015010054359880 1120177562750169100237121413120001200015005001045859996 1220143559750160125267321425045600456012002003045849990 1320222592750170134700317525120001200020020001080019660 1420173593750180140146111213240002400020040005014559575 1518143595750161093123121424180001800030035005023636878 1720115450600160100237227213300003000040020010024558590 1820144605750160100126321413120002400025005002045849987 1921222591750168106126315445012000120027002005014559596 2020222601750171130125317425036000360024001005013558980 2220144571750177135234311413180001800030000001034539999 2320222565750167132260317413060000600025005005015818278 2421144000900184140260317425192003600040030003015889875 2519111845900162105123321515300003000020003005034547882 2621141833900174114257311313180001800020003006043149995 2722177832900179150267311413120001200020001001080028572 2819143838900165125123321413216002160020010005023559098 2921222827900170120125315424036000720022010001013557275 3019212622750172120120311425180003600020020010031538270 3120171598750162145127321426096000960020020005045748993 3220141597750157095123121413216002160020005010035059397 3320111616750160116167321424192001920020010005034558273 3420266594750172112135315424120002400030020005015857165 3520111598750156089127121415120001200020005005034549987 3621111590750159090123321513120001200020020010075448096

3700143581750163150256317513240002400030002003014559988 3820134560750174130125117513240002400030010005013817587 3921111784900150110127321413096000960020005005050056070 4020133809900175116167111424180003600030010020034559985 41191335967501690882671211134800072000200200050542460 END DATA. .

VARIABLE LABEL id '个案号' age '学生的年龄' location '(学生家庭住址)' vf '父亲职业' vm '母亲职业' s1 '学生高考成绩'

s2 '高考各门总分' hight '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无朋友'/sex '(学生性别)'

/t1 '期中考成绩'/t2 '期末成绩' ZY '择业途径'/XD '兄弟姐妹'

/QJ '全家人口'/YINC1 '父母年收入'/YINC2 '全家年收入' /PAY1 '月伙食费'

/PAY2 '月娱乐费'/PAY3 '月购书费'/ZO1 '择偶标准1'/ZO2 '择偶标准2' /ZO3 '择偶标准3'/bz '最先择偶标准'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等' 6 '无正式工作' 7 '其他' /location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'

/sex 1 '男生' 2 '女生'

/ZO1 TO ZO3 1 '相貌' 2 '文化水准' 3 '气质风度' 4 '志同道合' 5 '人品' 6 '家庭条件' 7 '本人收入' 8 '其他' /ZY 1 '靠父母' 2 '靠亲朋' 3 '学校推荐' 4 '自荐' 5 '其他' /will 1 '深造' 2 '任教' 3 '科研单位' 4 '到国企' 5 '去公司' 6 '去乡镇企业' 7 '其他'.

MISSING VALUE age (00) v (0) like1 to like3 (0),s1 yinc1 yinc2(000). COMPUTE Gweight=weight.

RECODE Gweight (LO THRU 100=1) (100 THRU 110=2) (110 THRU 120=3) (120 THRU 130=4) (130 THRU HI=5).

VALUE LABEL Gweight 1 '100斤以下' 2 '100至110斤' 3 '110至120斤' 4 '120至130斤' 5 '130斤以上'.

RECODE hight (LO THRU 160=1) (160 THRU 170=2) (170 THRU 180=3) (180 THRU HI=4).

VALUE LABEL hight 1 '学生身高1.6米以下' 2 '身高1.6-1.7米' 3 '身高1.7-1.8米' 4 '身高1.8米以上'. COMPUTE score=(s1/s2)*100. COMPUTE Gscore=score. FORMAT Gscore (F2.0).

RECODE Gscore (LO THRU 70=1) (70 THRU 75=2)

(75 THRU 80=3) (80 THRU 83=4) (83 THRU 86=5)

(86 THRU HI=6).

VALUE LABEL Gscore 1 '平均70分以下' 2 '70-75分' 3 '75-80分' 4 '80-83分' 5 '83-86分' 6 '86分以上'.

VARIABLE LABEL score '(学生高考成绩占满分的百分数)'. SAVE OUTFILE='D:\\择偶.sav '. GET FILE='D:\\择偶.sav '.

TITLE '程序8.2'.

GET FILE='D:\\择偶.sav'.

MULT response group=$zo '(择偶标准)' (zo1 to zo3(1,8)) /FREQUENCIESquencies=$zo. TITLE '程序8.3'.

GET FILE='D:\\择偶.sav'.

MULT RESPONSE GROUPS=$ZO '择偶' (zo1 zo2 zo3 (1,5)) /VARIABLES=sex(1 2)/TABLES=sex BY $ZO /CELLS=ROW TOTAL/BASE= RESPONSES.

TITLE '程序8.4'.

GET FILE='D:\\择偶.sav'. MULT RESPONSE

GROUPS=$Like '业余爱好' (like1 like2 like3 (1,5))

/VARIABLES=sex(1 2)/TABLES=sex BY $Like /CELLS=ROW TOTAL /BASE=RESPONSES .

TITLE '程序9.1'.

GET File=’D:\\BJfl.sav’.

CROSSTABS/TABLES=gage BY gv3/FORMAT=AVALUE TABLES /STATISTIC=GAMMA D/CELLS=COUNT ROW.

TITLE '程序9.2'.

GET File=’D:\\BJfl.sav’.

CROSSTABS gage BY gv3 BY V5/FORMAT=AVALUE TABLES /STATISTIC=Chi-squre GAMMA/CELLS=COUNT ROW. TITLE '程序9.3'.

GET File=’D:\\BJfl.sav’.

CROSSTABS age BY v3 BY V5/FORMAT=AVALUE TABLES /STATISTIC=CHISQ CORR/CELLS=COUNT ROW.

TITLE '程序9.4'.

GET File=’D:\\BJfl.sav’.

CROSSTABS V5 BY v3/FORMAT=AVALUE TABLES /STATISTIC=CHISQ ETA/CELLS=COUNT ROW.

TITLE '程序9.5'.

GET File=’D:\\BJfl.sav’.

CROSSTABS V5 BY v52/FORMAT=AVALUE TABLES

/STATISTIC=CHISQ LAMBDA PHI/CELLS=COUNT ROW.

TITLE '程序9.6'.

GET File=’D:\\BJfl.sav’.

CROSSTABS/TABLES=v5 BY v2/STATISTIC=CHISQ LAMBDA/CELLS=COUNT ROW.

TITLE '程序9.7'.

DATA LIST FIXED/V1 1-2 V2 4 V3 6. weight BY V1. BEGIN DATA. 20 1 1 30 2 1 40 1 2 50 2 2 END DATA. CROSSTABS TABLE=V2 BY V3.

TITLE '程序9.8'.

DATA LIST/ID 1-2 sex 3 age 4-8 dq 9 height 10-12(1)

weight 13-16(1) score1 17-19 score2 20-22 mz 23. VARIABLE LABEL id '个案号'/sex '性别'/age '年龄' /dq '家庭住址'/height '学生身高' /weight '学生体重'/score1 '高考得分' /score2 '高考满分'/mz '民族'. VALUE LABEL sex 1 '男' 2 '女'

/dq 1 '城市' 2 '农村'

/mz 1 '汉族' 2 '回族' 3 '朝鲜' 4 '满族' 5 '苗族' 6 '藏族'.

MISSING VALUE sex (9) age (00000) mz (0) weight(0000) height score1 score2(000). BEGIN DATA.

01120.00116912005026401 02121.50217112004976401 03220.75116611007779002 04119.25117613007709002 05222.00116009805256403 06119.50217311155276401 07222.25115809054926004 08220.25116010354946005 09123.00217513556087201

10119.75117012802654006 END DATA.

SAVE OUTFILE='score.sav'.

COMPUTE score=score1/score2*100. COMPUTE gscore=score.

RECODE gscore(LO THRU 70=1)(70 THRU 75=2)

(75 THRU 80=3)(80 THRU 85=4) (85 THRU HI =5). CROSSTABS age BY score/FORMAT=NOTABLE /STATISTICS=CHISQ CORR.

CROSSTABS age BY gscore/CELL=ROW Column Total Count /STATISTICS=CHISQ LAMBDA.

TITLE '程序10.1（a）：命令和数据分开，各存储1个文件'.

DATA LIST FILE=’D:\\98bDAT.sps’/id 1-2 age 3-4 location 5 vf 6 vm 7 s1 8-10 s2 11-13 hight 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 will 25 zy 26 xd 27 qj 28 yinc1 29-33 yinc2 34-38 pay1 to pay3 39-47

zo1 to zo3 48-50 bz 51 t1 52-53 t2 54-55.

VARIABLE LABEL id '个案号' age '学生的年龄' location '(学生家庭住址)' vf '父亲职业' vm '母亲职业' s1 '学生高考成绩'

s2 '高考各门总分' hight '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无朋友'/sex '(学生性别)' ZY '择业途径'/XD '兄弟姐妹'

/QJ '全家人口'/YINC1 '父母年收入'/YINC2 '全家年收入' /PAY1 '月伙食费'

/PAY2 '月娱乐费'/PAY3 '月购书费'/ZO1 '择偶标准1'/ZO2 '择偶标准2' /ZO3 '择偶标准3'/bz '最先择偶标准'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等' 6 '无正式工作' 7 '其他' /location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'

/sex 1 '男生' 2 '女生'

/ZO1 TO ZO3 1 '相貌' 2 '文化水准' 3 '气质风度' 4 '志同道合' 5 '人品' 6 '家庭条件' 7 '本人收入' 8 '其他' /ZY 1 '靠父母' 2 '靠亲朋' 3 '学校推荐' 4 '自荐' 5 '其他' /will 1 '深造' 2 '任教' 3 '科研单位' 4 '到国企' 5 '去公司' 6 '去乡镇企业' 7 '其他'.

MISSING VALUE age (00) v (0) like1 to like3 (0),s1 yinc1 yinc2(000). COMPUTE Gweight=weight.

RECODE Gweight (LO THRU 100=1) (100 THRU 110=2) (110 THRU 120=3) (120 THRU 130=4) (130 THRU HI=5).

VALUE LABEL Gweight 1 '100斤以下' 2 '100至110斤' 3 '110至120斤' 4 '120至130斤' 5 '130斤以上'.

RECODE hight (LO THRU 160=1) (160 THRU 170=2) (170 THRU 180=3) (180 THRU HI=4).

VALUE LABEL hight 1 '学生身高1.6米以下' 2 '身高1.6-1.7米' 3 '身高1.7-1.8米' 4 '身高1.8米以上'. COMPUTE score=(s1/s2)*100. COMPUTE Gscore=score. FORMAT Gscore (F2.0).

RECODE Gscore (LO THRU 70=1) (70 THRU 75=2)

(75 THRU 80=3) (80 THRU 83=4) (83 THRU 86=5) (86 THRU HI=6).

VALUE LABEL Gscore 1 '平均70分以下' 2 '70-75分' 3 '75-80分' 4 '80-83分' 5 '83-86分' 6 '86分以上'.

VARIABLE LABEL score '(学生高考成绩占满分的百分数)'. COMPUTE s=t1*.35+t2*.65. FORMAT s(f2.0). FREQ bz/BAR.

SAVE OUTFILE='D:\\TITLE '程序10.1.sav'.

MEANS Score BY Vf BY Location BY sex.

TITLE '程序10.1（b）：命令和数据在同一个文件中'. DATA LIST/id 1-2 age 3-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 hight 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 will 25 zy 26 xd 27 qj 28 yinc1 29-33 yinc2 34-38 pay1 to pay3 39-47

zo1 to zo3 48-50 bz 51 t1 52-53 t2 54-55. BEGIN DATA.

0120147560750163090257311415600009600020010005013558593 0220177551750160112137321413240002400020015020024748084 0320173544750178132267311413480004800030005001013519990 0421111604750172142257317424240002400020005005081489698 0520111588750168110127327413144001440020003000513449480 0620242588750168110267121414150003750020002002014548484 0721111583750168126235125413180002400040030010014559988 0821222570750165120245315446084000840030010004013437076 0920140585750162106257325435180001800010000000523448194 1020147571750174132127211446096001800025015010054359880 1120177562750169100237121413120001200015005001045859996 1220143559750160125267321425045600456012002003045849990 1320222592750170134700317525120001200020020001080019660 1420173593750180140146111213240002400020040005014559575 1518143595750161093123121424180001800030035005023636878

1720115450600160100237227213300003000040020010024558590 1820144605750160100126321413120002400025005002045849987 1921222591750168106126315445012000120027002005014559596 2020222601750171130125317425036000360024001005013558980 2220144571750177135234311413180001800030000001034539999 2320222565750167132260317413060000600025005005015818278 2421144000900184140260317425192003600040030003015889875 2519111845900162105123321515300003000020003005034547882 2621141833900174114257311313180001800020003006043149995 2722177832900179150267311413120001200020001001080028572 2819143838900165125123321413216002160020010005023559098 2921222827900170120125315424036000720022010001013557275 3019212622750172120120311425180003600020020010031538270 3120171598750162145127321426096000960020020005045748993 3220141597750157095123121413216002160020005010035059397 3320111616750160116167321424192001920020010005034558273 3420266594750172112135315424120002400030020005015857165 3520111598750156089127121415120001200020005005034549987 3621111590750159090123321513120001200020020010075448096 3700143581750163150256317513240002400030002003014559988 3820134560750174130125117513240002400030010005013817587 3921111784900150110127321413096000960020005005050056070 4020133809900175116167111424180003600030010020034559985

4119133596750169088267121113480007200020020005054246000 END DATA. VARIABLE LABEL id '个案号' age '学生的年龄' location '(学生家庭住址)' vf '父亲职业' vm '母亲职业' s1 '学生高考成绩'

s2 '高考各门总分' hight '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无朋友'/sex '(学生性别)' ZY '择业途径'/XD '兄弟姐妹'

/QJ '全家人口'/YINC1 '父母年收入'/YINC2 '全家年收入' /PAY1 '月伙食费'

/PAY2 '月娱乐费'/PAY3 '月购书费'/ZO1 '择偶标准1'/ZO2 '择偶标准2' /ZO3 '择偶标准3'/bz '最先择偶标准'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等' 6 '无正式工作' 7 '其他'

/location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'/sex 1 '男生' 2 '女生'

/ZO1 TO ZO3 1 '相貌' 2 '文化水准' 3 '气质风度' 4 '志同道合' 5 '人品' 6 '家庭条件' 7 '本人收入' 8 '其他' /ZY 1 '靠父母' 2 '靠亲朋' 3 '学校推荐' 4 '自荐' 5 '其他' /will 1 '深造' 2 '任教' 3 '科研单位' 4 '到国企'

5 '去公司' 6 '去乡镇企业' 7 '其他'.

MISSING VALUE age (00) v (0) like1 to like3 (0),s1 yinc1 yinc2(000). SAVE OUTFILE='D:\\TITLE '程序10.1.sav'.

MEANS Score BY Vf BY Location BY sex.

TITLE '程序10.2'.

GET FILE='D:\\TITLE '程序10.1.sav'.

MEANS Score BY Vf BY Location BY sex.（此命令可产生图10.3的结果）

TITLE '程序10.3'.

GET FILE='D:\\TITLE '程序10.1.sav'. MEANS score BY sex BY location BY Vf.

TITLE '程序10.4'.

GET FILE='D:\\TITLE '程序10.1.sav'. MEANS score BY sex BY location BY vm.

TITLE '程序10.5'.

GET FILE='D:\\TITLE '程序10.1.sav'.

MEANS score BY Sex BY location/STATISTICS=ANOVA. /STATISTICS=LINEARITY.

TITLE '程序10.6'.

GET FILE='D:\\TITLE '程序10.1.sav'.

MEANS Score BY Location BY Sex/STATISTICS=ALL.

TITLE '程序10.7'.

GET FILE='D:\\TITLE '程序10.1.sav'. MEANS TABLE=Score BY Sex.

TITLE '程序10.8'.

GET FILE='D:\\TITLE '程序10.1.sav'.

MEANS Score1 Score2 BY Vf Vm BY location Sex.

TITLE '程序10.9'.

GET FILE='D:\\TITLE '程序10.1.sav'. MEANS Score1 BY Location MEANS Score2 BY Location

TITLE '程序10.10'.

DATA LIST /xh 1-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 height 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 score 25-26.

VARIABLE LABEL xh '个案号' location '(学生家庭住址)'

/vf '其父的职业' vm '其母的职业' s1 '学生高考成绩'

/s2 '高考各门总分' height '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无对象?' sex '(学生性别)'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等'

6 '无正式工作' 7 '其他'

/location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'/sex 1 '男生' 2 '女生'. MISSING VALUE like1 to like3(0),s1 s2(000). BEGIN DATA.

92011444707401571102002293 92021335386401781503001184 92032125056401781281502182 92041445106401550922401276 92051416406401691103401185 92062455086401771441402194 92071444706401580842311288 92081335026401761205001183 92091435006401571002341290 92101454936401661763401169 92121435106401801322342183 92141435206401741342001185 92161355006401701182002281 92172225106401651141242180 92181345026401711161252187 92202324866401671021252190 92221414986401651201231275 92232225206401711301002191 92242325256401701201242186 92252225186401711241252179 92262225176401701281502184 92282225196401651301222177 92291135196401701102402183 92301335186401621061201291 92312225026401801241521190 92321445096401601762302292 92331445196401751201452180 92341435106401791422002183 92351445947001581001231295 92362255176401611102002183 92372324946401550961252285 92381155006401701205001175

92392225897101701143001183 92401415036401721085002170 93011115527501631021251286 93032225817501581121241281 93081436406401551041202282 93111445056401651265201282 01231455026401620962001286 02221554976401681281261184 06221554806001801341242168 08221415106401761183561183 09221435106401781561242189 10211445106401671061231294 12212225056401731202472183 13222225266401671262302183 14211445306401751401252180 17211435286401651002601285 18212125276401671102001185 19211355296401541001072285 20211335406401731304702185 21212225266401601102102286 22212255136401661242702188 25201445226401691181271188 26232555276401621043201291 27221555536401671201001196 28211445426401650931230285 29201445306401731461571186 30221465056401731281300170 31221115016401621041702284 32202125176401520841231289 33212155156401511007002186 34212327779001651401002181 35211557709001651265612190 36212225256401751207002179 39202455276401791227001184 40202324926001560881260286 41212224946001741227001189 43222226087201601052341189 44001435146401751766001178 45001225977101671101002185 46201432654001851401602164 END DATA.

COMPUTE s=s1/s2*100.

COMPUTE LNscore=LG10(score). COMPUTE LNS=LG10(s).

FORMAT lnscore (COMMA4.0).

VARIABLE LABEL s '入学成绩__高考均分'/score '当前成绩'.

T-TEST /TESTVAL=0/MISSING=ANALYSIS/VARIABLES=score.

SAVE OUTFILEv='D:\\test1.sav'. GET FILEv='D:\\test1.sav'.

TITLE '程序10.11'.

GET FILE=‘D:\\test1.sav’. T-TEST GROUPS=sex（1 ,2）/VARIABLES=score.

TITLE '程序10.12：降血糖的原始数据'.

DATA LIST/ID 1-2 T1 3-5(1) T2 6-8(1). BEGIN DATA. 01125235 02225315 03315415 04185225 05265235 06355245 07615450 08415345 09330285 10240300 END DATA.

T-TEST PAIRS=T1 T2.

SAVE OUTFILE =’D:\\PAIRSv.sav’.

TITLE '程序11.1：9293.sps'.

DATA LIST /xh 1-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 height 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 score 25-26.

VARIABLE LABEL xh '个案号' location '(学生家庭住址)' vf '其父的职业'

/ vm '其母的职业' s1 '学生高考成绩'/s2 '高考各门总分' height '学生身高' /weight '学生体重' /like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无对象?' sex '(学生性别)'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等'

6 '无正式工作'/location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞'

4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无' /sex 1 '男生' 2 '女生'.

MISSING VALUE like1 to like3(0),s1 s2(000). BEGIN DATA.

92011444707401571102002293

92021335386401781503001184 92032125056401781281502182 92041445106401550922401276 92051416406401691103401185 92062455086401771441402194 92071444706401580842311288 92081335026401761205001183 92091435006401571002341290 92101454936401661763401169 92121435106401801322342183 92141435206401741342001185 92161355006401701182002281 92172225106401651141242180 92181345026401711161252187 92202324866401671021252190 92221414986401651201231275 92232225206401711301002191 92242325256401701201242186 92252225186401711241252179 92262225176401701281502184 92282225196401651301222177 92291135196401701102402183 92301335186401621061201291 92312225026401801241521190 92321445096401601762302292 92331445196401751201452180 92341435106401791422002183 92351445947001581001231295 92362255176401611102002183 92372324946401550961252285 92381155006401701205001175 92392225897101701143001183 92401415036401721085002170 93011115527501631021251286 93032225817501581121241281 93081436406401551041202282 93111445056401651265201282 01231455026401620962001286 02221554976401681281261184 06221554806001801341242168 08221415106401761183561183 09221435106401781561242189 10211445106401671061231294 12212225056401731202472183

13222225266401671262302183 14211445306401751401252180 17211435286401651002601285 18212125276401671102001185 19211355296401541001072285 20211335406401731304702185 21212225266401601102102286 22212255136401661242702188 25201445226401691181271188 26232555276401621043201291 27221555536401671201001196 28211445426401650931230285 29201445306401731461571186 30221465056401731281300170 31221115016401621041702284 32202125176401520841231289 33212155156401511007002186 34212327779001651401002181 35211557709001651265612190 36212225256401751207002179 39202455276401791227001184 40202324926001560881260286 41212224946001741227001189 43222226087201601052341189 44001435146401751766001178 45001225977101671101002185 46201432654001851401602164 END DATA.

COMPUTE s=s1/s2*100.

COMPUTE LNscore=LG10(score). COMPUTE LNS=LG10(s).

FORMAT lnscore (COMMA4.0).

VARIABLE LABEL s '入学成绩__高考均分'/score '当前成绩'. SAVE OUTFILE=’D:\\9293.sav’. GET FILE=’D:\\9293.sav’.

EXAMINE weight/PLOT BOXPLOT STEMLEAF HISTOGRAM.

TITLE '程序11.2'.

GET FILE=’D:\\9293.sav’.

EXAMINE weight BY vf/PLOT BOXPLOT HISTOGRAM SPREADLEVEL.

TITLE '程序11.3'.

GET FILE=’D:\\9293.sav’. EXAMINE =s/PLOT NPPLOT

/MESTIMATORS HUBER(1.339) ANDREW(1.34) HAMPEL(1.7,3.4,8.5) TUKEY(4.685) /STATISTICS EXTREMENOTOTAL.

TITLE '程序12.1'.

TITLE ‘98级部分本科生数据“D:\\98b.sps”’. DATA LIST /id 1-2 age 3-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 hight 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 will 25 zy 26 xd 27 qj 28 yinc1 29-33 yinc2 34-38 pay1 to pay3 39-47 zo1 to zo3 48-50 bz 51 t1 52-53 t2 54-55. BEGIN DATA.

012014756075016309025731141560000960002001000501355 022017755175016011213732141324000240002001502002474 032017354475017813226731141348000480003000500101351 042111160475017214225731742424000240002000500508148 052011158875016811012732741314400144002000300051344 062024258875016811026712141415000375002000200201454 072111158375016812623512541318000240004003001001455 082122257075016512024531544608400084003001000401343 092014058575016210625732543518000180001000000052344 102014757175017413212721144609600180002501501005435 112017756275016910023712141312000120001500500104585 122014355975016012526732142504560045601200200304584 132022259275017013470031752512000120002002000108001 142017359375018014014611121324000240002004000501455 151814359575016109312312142418000180003003500502363 172011545060016010023722721330000300004002001002455 182014460575016010012632141312000240002500500204584 192122259175016810612631544501200012002700200501455 202022260175017113012531742503600036002400100501355 222014457175017713523431141318000180003000000103453 232022256575016713226031741306000060002500500501581 2421144???90018414026031742519200360004003000301588 251911184590016210512332151530000300002000300503454 262114183390017411425731131318000180002000300604314 272217783290017915026731141312000120002000100108002 281914383890016512512332141321600216002001000502355 292122282790017012012531542403600072002201000101355 301921262275017212012031142518000360002002001003153 312017159875016214512732142609600096002002000504574 322014159775015709512312141321600216002000501003505 332011161675016011616732142419200192002001000503455 342026659475017211213531542412000240003002000501585 352011159875015608912712141512000120002000500503454 362111159075015909012332151312000120002002001007544

370014358175016315025631751324000240003000200301455 382013456075017413012511751324000240003001000501381 392111178490015011012732141309600096002000500505005 402013380990017511616711142418000360003001002003455 411913359675016908826712111348000720002002000505424

END DATA. .

VARIABLE LABEL id '个案号' age '学生的年龄' location '(学生家庭住址)' vf '父亲职业' vm '母亲职业' s1 '学生高考成绩'

s2 '高考各门总分' hight '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无朋友'/sex '(学生性别)' /t1 '期中考成绩'/t2 '期末成绩' ZY '择业途径'/XD '兄弟姐妹'

/QJ '全家人口'/YINC1 '父母年收入'/YINC2 '全家年收入' /PAY1 '月伙食费'

/PAY2 '月娱乐费'/PAY3 '月购书费'/ZO1 '择偶标准1'/ZO2 '择偶标准2' /ZO3 '择偶标准3'/bz '最先择偶标准'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等' 6 '无正式工作' 7 '其他' /location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'/sex 1 '男生' 2 '女生'

/ZO1 TO ZO3 1 '相貌' 2 '文化水准' 3 '气质风度' 4 '志同道合' 5 '人品' 6 '家庭条件' 7 '本人收入' 8 '其他'

/ZY 1 '靠父母' 2 '靠亲朋' 3 '学校推荐' 4 '自荐' 5 '其他' /will 1 '深造' 2 '任教' 3 '科研单位' 4 '到国企' 5 '去公司' 6 '去乡镇企业' 7 '其他'.

MISSING VALUE age (00) v (0) like1 to like3 (0),s1 yinc1 yinc2(000). COMPUTE Gweight=weight.

RECODE Gweight (LO THRU 100=1) (100 THRU 110=2) (110 THRU 120=3) (120 THRU 130=4) (130 THRU HI=5).

VALUE LABEL Gweight 1 '100斤以下' 2 '100～110斤' 3 '110～120斤' 4 '120～130斤' 5 '130斤以上'.

RECODE hight (LO THRU 160=1) (160 THRU 170=2) (170 THRU 180=3) (180 THRU HI=4).

VALUE LABEL hight 1 '学生身高1.6米以下' 2 '身高1.6-1.7米' 3 '身高1.7-1.8米' 4 '身高1.8米以上'. COMPUTE score=(s1/s2)*100. COMPUTE Gscore=score. FORMAT Gscore (F2.0).

RECODE Gscore (LO THRU 70=1) (70 THRU 75=2) (75 THRU 80=3) (80 THRU 83=4) (83 THRU 86=5) (86 THRU HI=6).

VALUE LABEL Gscore 1 '平均70分以下' 2 '70-75分' 3 '75-80分'

4 '80-83分' 5 '83-86分' 6 '86分以上'. VARIABLE LABEL score '(学生高考成绩占满分的百分数)'. MEANS score BY location BY sex.

ANOVA VARIABLE=score BY location（1,2） sex（1,2） /METHOD= EXPERIM/STATISTICS=MEAN.

SAVE OUTFILE='D:\\TITLE '程序12.1.sav'. GET FILE='D:\\TITLE '程序12.1.sav'.

TITLE '程序12.2'.

GET FILE='D:\\TITLE '程序12.1.sav'.

ANOVA VARIABLE=score BY location（1,2） sex（1,2） /METHOD= EXPERIM /STATISTICS=MEAN.

TITLE '程序13.1：药物治疗调查数据'.

DATA LIST/group 1 yaol 3-5 obsN 7-9 effect 11-12 weight 14-16(1). BEGIN DATA. 1 095 090 28 0.5 1 100 095 30 0.5 1 100 100 34 0.6 1 115 120 45 0.8 2 090 095 38 0.6 2 100 106 45 0.8 2 115 112 52 0.8 2 120 116 55 1.0 3 100 096 40 0.8 3 110 100 45 0.8 3 120 120 58 1.0 3 135 140 70 1.0 4 065 100 60 0.9 4 070 110 68 1.0 4 080 115 70 1.3 4 085 120 80 1.5 END DATA.

VARIABLE LABEL group '药组：'/yaol '每疗程药量:克'/obsN '治疗人数' /effect '有效人数'/weight '人均体重月增长：公斤'. VALUE LABEL group 1 '丸状' 2 '粉状' 3 '胶囊' 4 '针药'.

SAVE OUFILE='D:\\TITLE '程序13'. GET FILE='D:\\TITLE '程序13'.

/*命令1'.

GET FILE='D:\\TITLE '程序13'.

NPAR TEST/CHISQUARE=weight/EXPECTED=EQUAL.

/*命令2'.

GET FILE='D:\\TITLE '程序13'.

NPAR TEST/CHISQUARE=weight/EXPECTED=EQUAL. NPAR TEST/BINOMIAL (.50)= weight.

TITLE '程序13.2：减肥前后体重减轻的对比'. DATA LIST/ID 1-2 T1 3-4(1) T2 5-6(1). BEGIN DATA. 01 125 235 02 225 315 03 315 415 04 185 225 05 265 235 06 355 245 07 615 450 08 415 345 09 330 285 10 240 300 END DATA.

TITLE '程序13.3'.

DATA LIST/ID 1-2 T1 4-7 T2 9-12 T3 14-17.

VARIABLE LABELS ID '个案号'/T1 '治疗1'/T2 '治疗2'/T3 '治疗3'. BEGIN DATA.

01 1.35 1.27 1.33 02 1.28 1.31 1.26 03 1.40 2.05 2.01 04 1.28 1.37 1.32 05 1.36 1.27 1.35 06 .99 1.32 1.48 07 1.65 1.58 1.73 08 1.01 1.08 1.21 09 1.15 1.18 1.66 10 1.33 1.34 1.32 END DATA.

COMPUTE T=T1-T3.

TITLE '程序14.1'.

TITLE \根据卫生部报告的2003年4月25日～6月之间SARS疫情数据\

DATA list/ID1 1-2 ID2 4-5 location 7-8(A) V1 10-12 V2 14-17 V3 18-21 V4 23-26 V5 28-29 V6 31-33 V7 35-37 V8 39-42 T1 44-45 t2 47-48.

VARIABLE LABEL

/ID1 '统计时间' ID2 '省市的编号' Location '省市名称' /V1 \新增非典人数\新增非典人数累计\

/V3 \医务人员 累计非典 人数\累计出院人数\新增死亡人数\ /V6 \累计新增死亡人数\新增疑似非典病例\累计疑似非典病例\ /T1 '最低气温' T2 '最高气温'. VALUE LABEL ID1

-1 '4月27日（10时止）' -2 '4月26日（10时止）' -3 '4月25日（10时止）'

00 '4月28日（10时止）' 01 '4月29日' 02 '4月30日'

03 '5月1日' 04 '5月2日' 05 '5月3日' 06 '5月4日' 07 '5月5日' 08 '5月6日' 09 '5月7日' 10 '5月8日'

11 '5月9日' 12 '5月10日' 13 '5月11日' 14 '5月12日' 15 '5月13日' 16 '5月14日' 17 '5月15日' 18 '5月16日' 19 '5月17日' 20 '5月18日' 21 '5月19日' 22 '5月20日' 23 '5月21日' 24 '5月22日' 25 '5月23日' 26 '5月24日' 27 '5月25日' 28 '5月26日' 29 '5月27日' 30 '5月28日' 31 '5月29日' 32 '5月30日'

33 '5月31日' 34 '6月 1日' 35 '6月 2日' 36 '6月 3日' 37 '6月 4日' 38 '6月 5日' 39 '6月 6日' 40 '6月 7日' 41 '6月 8日' 42 '6月 9日' 43 '6月10日' 44 '6月11日'

45 '6月12日' 46 '6月13日' 47 '6月14日' 48 '6月15日' 49 '6月16日' 50 '6月17日' 51 '6月18日' 52 '6月19日'

/location 'BJ' '广东省' 'TJ' '天津市' 'HB' '河北省' 'SX' '山西省' 'NM' '内蒙古区' 'GD' '广东省' 'QG' '全国'. BEGIN DATA.

-3 19 GD 000 1374 342 1173 01 050 012 0127 00 30 -2 19 GD 005 1379 342 1178 01 051 061 0176 22 00 -1 19 GD 003 1382 342 1185 00 051 054 0202 22 31 00 19 GD 013 1395 342 1191 00 051 051 0233 22 28 01 19 GD 004 1399 342 1201 00 051 054 0277 23 29 02 19 GD 006 1405 342 1201 00 051 033 0169 23 32 *自编30行.

51 19 GD 000 1511 346 1500 00 058 000 0001 25 32 （6，18） END DATA.

COMPUTE TT1=t1*1. COMPUTE TT2=t2*1. COMPUTE TT=t2-t1. VARIABLE LABEL

TT '每日温差' /Tt1 '最低气温加权' Tt2 '最高气温加权'. SAVE OUTFILE='D:\\广东.sav'. GET FILE='D:\\广东.sav'. GRAPH

/LINE(MULTIPLE)=MEAN(v1) MEAN(v5) MEAN(v7) BY id1 /MISSING=VARIABLEWISE REPORT. GRAPH

/LINE(MULTIPLE)=MEAN(v1) MEAN(t2) BY id1/MISSING=VARIABLEWISE REPORT. GRAPH

/LINE(MULTIPLE)=MEAN(t1) MEAN(v1) BY id1 /MISSING=VARIABLEWISE REPORT. GRAPH

/LINE(MULTIPLE)=MEAN(t2) MEAN(v7) BY id1 /MISSING=VARIABLEWISE REPORT. GRAPH

/LINE(MULTIPLE)=MEAN(t1) MEAN(v7) BY id1 /MISSING=VARIABLEWISE REPORT.

TITLE '程序14.2'.

GET FILE='D:\\广东.sav'. MISSING VALUE t1 t2 tt(0).

TITLE '程序14.3'.

GET FILE='D:\\广东.sav'.

MISSING VALUE t1 t2 tt(0).

CORRELATIONS v7 t1 t2 tt/PRINT=ONETAIL NOSIG/MISSING=LISTWISE .

TITLE '程序14.4'.

GET FILE='D:\\广东.sav'. CORRELATION v7 WITH t1.

TITLE '程序14.5：产生图14.12和图14.13的结果'. GET FILE='D:\\广东.sav'.

PARTIAL CORR v1 with t1 BY v7

/SIGNIFICANCE=TWOTAIL/STATISTICS=CORR.

TITLE '程序14.6'.

DATA LIST /xh 1-2 age 3-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 height 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 score 25-26.

VARIABLE LABEL xh '个案号' location '(学生家庭住址)' vf '其父的职业' vm '其母的职业' s1 '学生高考成绩'

s2 '高考各门总分' height '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无对象?' sex '(学生性别)'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等'

6 '无正式工作'/location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'/sex 1 '男生' 2 '女生'.

MISSING VALUE like1 to like3(0),s1 s2(000) height weight(00) age(00). BEGIN DATA.

01231455026401620962001286 02221554976401681281261184 06221554806001801341242168 08221415106401761183561183 09221435106401781561242189 10211445106401671061231294 12212225056401731202472183 13222225266401671262302183 14211445306401751401252180 17211435286401651002601285 18212125276401671102001185 19211355296401541001072285 20211335406401731304702185 21212225266401601102102286 22212255136401661242702188 25201445226401691181271188 26232555276401621043201291 27221555536401671201001196 28211445426401650931230285 29201445306401731461571186 30221465056401731281300170 31221115016401621041702284 32202125176401520841231289 33212155156401511007002186 34212327779001651401002181 35211557709001651265612190 36002225256401751207002179 39202455276400001227001184 40202324926000000881260286 41212224946001740007001189 END DATA.

COMPUTE s=s1/s2*100.

VARIABLE LABEL s '入学成绩__高考均分'/score '当前成绩'. CROSSTABS sex BY VF/STATISTICS=CHISQ CC LAMBDA. SAVE OUTFILE=’D:\\91.sav’. GET FILE='D:\\91.sav'.

CORRELATION age height weight /weight WITH score.

TITLE '程序14.7'.

GET FILE='D:\\91.sav'. CORRELATION sex like1 v.

TITLE '程序14.8'. GET FILE='D:\\91.sav'.

PARTIAL CORR sex like1 BY v.

TITLE '程序15.1'.

TITLE '九八级部分本科生的情况汇总'.

DATA LIST /id 1-2 age 3-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 height 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 will 25 zy 26 xd 27 qj 28 yinc1 29-33 yinc2 34-38 pay1 to pay3 39-47 zo1 to zo3 48-50 bz 51 qz 52-53 qm 54-55. begin data.

0120147560750163090257311415600009600020010005013558593 0220177551750160112137321413240002400020015020024748084 0320173544750178132267311413480004800030005001013519990 0421111604750172142257317424240002400020005005081489698 0520111588750168110127327413144001440020003000513449480 0620242588750168110267121414150003750020002002014548484 0721111583750168126235125413180002400040030010014559988 0821222570750165120245315446084000840030010004013437076 0920140585750162106257325435180001800010000000523448194 1020147571750174132127211446096001800025015010054359880 1120177562750169100237121413120001200015005001045859996 1220143559750160125267321425045600456012002003045849990 1320222592750170134700317525120001200020020001080019660 1420173593750180140146111213240002400020040005014559575 1518143595750161093123121424180001800030035005023636878 1720115450600160100237227213300003000040020010024558590 1820144605750160100126321413120002400025005002045849987 1921222591750168106126315445012000120027002005014559596 2020222601750171130125317425036000360024001005013558980 2220144571750177135234311413180001800030000001034539999 2320222565750167132260317413060000600025005005015818278 2421144000900184140260317425192003600040030003015889875 2519111845900162105123321515300003000020003005034547882 2621141833900174114257311313180001800020003006043149995 2722177832900179150267311413120001200020001001080028572 2819143838900165125123321413216002160020010005023559098 2921222827900170120125315424036000720022010001013557275 3019212622750172120120311425180003600020020010031538270 3120171598750162145127321426096000960020020005045748993 3220141597750157095123121413216002160020005010035059397

3320111616750160116167321424192001920020010005034558273 3420266594750172112135315424120002400030020005015857165 3520111598750156089127121415120001200020005005034549987 3621111590750159090123321513120001200020020010075448096 3700143581750163150256317513240002400030002003014559988 3820134560750174130125117513240002400030010005013817587 3921111784900150110127321413096000960020005005050056070 4020133809900175116167111424180003600030010020034559985 41191335967501690882671211134800072000200200050542460 end data. .

VARIABLE LABEL id '个案号' age '学生的年龄' location '(学生家庭住址)' vf '父亲职业' vm '母亲职业' s1 '学生高考成绩'

s2 '高考各门总分' height '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无朋友'/sex '(学生性别)' ZY '择业途径'/XD '兄弟姐妹'

/QJ '全家人口'/YINC1 '父母年收入'/YINC2 '全家年收入' /PAY1 '月伙食费'

/PAY2 '月娱乐费'/PAY3 '月购书费'/ZO1 '择偶标准1'/ZO2 '择偶标准2' /ZO3 '择偶标准3'/bz '择偶标准'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等' 6 '无正式工作' /location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'

/sex 1 '男生' 2 '女生'

/ZO1 TO ZO3 1 '相貌' 2 '文化水准' 3 '气质风度' 4 '志同道合' 5 '人品' 6 '家庭条件' 7 '本人收入' 8 '其他' /ZY 1 '靠父母' 2 '靠亲朋' 3 '学校推荐' 4 '自荐' 5 '其他' /will 1 '深造' 2 '任教' 3 '科研单位' 4 '到国企' 5 '去公司' 6 '去乡镇企业' 7 '其他'.

MISSING VALUE age (00) v (0) like1 to like3 (0),s1 yinc1 yinc2(000). COMPUTE Gweight=weight.

RECODE Gweight (LO THRU 100=1) (100 THRU 110=2) (110 THRU 120=3) (120 THRU 130=4) (130 THRU HI=5).

VALUE LABEL Gweight 1 '100斤以下' 2 '100至110斤' 3 '110至120斤' 4 '120至130斤' 5 '130斤以上'.

RECODE height (LO THRU 160=1) (160 THRU 170=2) (170 THRU 180=3) (180 THRU HI=4).

VALUE LABEL height 1 '学生身高1.6米以下' 2 '身高1.6-1.7米' 3 '身高1.7-1.8米' 4 '身高1.8米以上'. COMPUTE score=(s1/s2)*100. COMPUTE Gscore=score.

FORMAT Gscore (F2.0).

RECODE Gscore (LO THRU 70=1) (70 THRU 75=2)

(75 THRU 80=3) (80 THRU 83=4) (83 THRU 86=5) (86 THRU HI=6).

VALUE LABEL Gscore 1 '平均70分以下' 2 '70-75分' 3 '75-80分' 4 '80-83分' 5 '83-86分' 6 '86分以上'.

VARIABLE LABEL score '(学生高考成绩占满分的百分数)'. COMPUTE GYINC1=YINC1. COMPUTE GYINC2=YINC2. COMPUTE GPAY1=PAY1. COMPUTE GPAY2=PAY2.

COMPUTE GPAY3=PAY3.

RECODE GYINC1 GYINC2 (lo THRU 5000=1) (5001 THRU 10000=2)

(10001 THRU 15000=3)(15001 THRU 20000=4)(20001 THRU 25000=5) (25001 THRU 30000=6)(30001 THRU 35000=7)(ELSE=8). VALUE LABEL GYINC1 GYINC2 1 '5000元以下' 2 '5001-10000元' 3 '10001-15000元' 4 '15001-20000元' 5 '20001-25000元' 6 '25001-30000元' 7 '30001-35000元' 8 '35000元以上'. RECODE GPAY1 (Lo THRU 100=1)(101 THRU 200=2)(201 THRU 300=3) (301 THRU 400=4)(401 THRU 500=5)(500 THRU HI=6). VALUE LABEL GPAY1 1 '100元以下' 2 '101-200元' 3 '201-300元' 4 '301-400元' 5 '401-500元' 6 '500元以上'.

RECODE GPAY2 GPAY3 (Lo THRU 50=1)(51 THRU 100=2)(101 THRU 150=3)

(151 THRU 200=4)(200 THRU 250=5)(250 THRU HI=6). VALUE LABEL GPAY2 GPAY3 1 '(50元以下)' 2 '(51-100元)' 3 '(101 THRU 150元)' 4 '(151 THRU 200元)' 5 '(200 THRU 250元)' 6 '(250元以上)'. compute s=qz*.35+qm*.65. SAVE OUTFILE='COXREG.sav'. GET FILE='COXREG.sav'. COXREG age/STATUS=v(1)

/METHOD=FSTEP(LR) zy weight pay2 score

/CONTRASTS(sex)=DEVIATION /CRITERIA=PIN(0.055) POUT(.10) .

TITLE '程序16.1：见正文图16.2'. TITLE '程序16.2：

dat list/x1 to x9 1-9. BEGIN DATA. 654364334 845657676 349576688

887758747 843875984 443877659 987678457 457847354 485794675 888945743 458985995 458095888 876909774 987574477 887665595 END DATA.

CONJOINT PLAN='e:\\x35\\o_kt空调2.sav'

/DATA='e:\\x35\\KT2.sav'/score =x1 to x9. VARIABLE LABEL card_1 '卡片'.

TITLE '程序17.1：

DATA LIST /xh 1-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 height 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 score 25-26.

VARIABLE LABEL xh '个案号' location '(学生家庭住址)' vf '其父的职业' vm '其母的职业' s1 '学生高考成绩'

s2 '高考各门总分' height '学生身高' weight '学生体重'

/like1 '业余爱好之一' /like2 '业余爱好之二' /like3 '业余爱好之三' /v '有无对象?' sex '(学生性别)'.

VALUE LABEL vf to vm 1 '工人' 2 '农民' 3 '教师' 4 '干部' 5 '医生等' 6 '无正式工作' /location 1 '家在城市' 2 '家在农村'

/like1 to like3 1 '听戏看电影' 2 '看小说读报' 3 '唱歌跳舞' 4 '交朋友' 5 '下棋打牌' 6 '打球' 7 '其他' /v 1 '有' 2 '无'

/sex 1 '男生' 2 '女生'.

MISSING VALUE like1 to like3(0),s1 s2(000). BEGIN DATA.

01231455026401620962001286 02221554976401681281261184 06221554806001801341242168 08221415106401761183561183 09221435106401781561242189 10211445106401671061231294 12212225056401731202472183 13222225266401671262302183

14211445306401751401252180 17211435286401651002601285 18212125276401671102001185 19211355296401541001072285 20211335406401731304702185 21212225266401601102102286 22212255136401661242702188 25201445226401691181271188 26232555276401621043201291 27221555536401671201001196 28211445426401650931230285 29201445306401731461571186 30221465056401731281300170 31221115016401621041702284 32202125176401520841231289 33212155156401511007002186 34212327779001651401002181 35211557709001651265612190 36212225256401751207002179 39202455276401791227001184 40202324926001560881260286 41212224946001741227001189 43222226087201601052341189 44001435146401751766001178 45001225977101671101002185 46201432654001851401602164 92011444707401571102002293 92021335386401781503001184 92032125056401781281502182 92041445106401550922401276 92051416406401691103401185 92062455086401771441402194 92071444706401580842311288 92081335026401761205001183 92091435006401571002341290 92101454936401661763401169 92121435106401801322342183 92141435206401741342001185 92161355006401701182002281 92172225106401651141242180 92181345026401711161252187 92202324866401671021252190 92221414986401651201231275 92232225206401711301002191

92242325256401701201242186 92252225186401711241252179 92262225176401701281502184 92282225196401651301222177 92291135196401701102402183 92301335186401621061201291 92312225026401801241521190 92321445096401601762302292 92331445196401751201452180 92341435106401791422002183 92351445947001581001231295 92362255176401611102002183 92372324946401550961252285 92381155006401701205001175 92392225897101701143001183 92401415036401721085002170 93011115527501631021251286 93032225817501581121241281 93081436406401551041202282 93111445056401651265201282 01231455026401620962001286 02221554976401681281261184 06221554806001801341242168 08221415106401761183561183 09221435106401781561242189 10211445106401671061231294 12212225056401731202472183 13222225266401671262302183 14211445306401751401252180 17211435286401651002601285 18212125276401671102001185 19211355296401541001072285 20211335406401731304702185 21212225266401601102102286 22212255136401661242702188 25201445226401691181271188 26232555276401621043201291 27221555536401671201001196 28211445426401650931230285 29201445306401731461571186 30221465056401731281300170 31221115016401621041702284 32202125176401520841231289 33212155156401511007002186

34212327779001651401002181 35211557709001651265612190 36212225256401751207002179 39202455276401791227001184 40202324926001560881260286 41212224946001741227001189 43222226087201601052341189 44001435146401751766001178 45001225977101671101002185 46201432654001851401602164 END DATA.

COMPUTE s=s1/s2*100.

VARIABLE LABEL s '入学成绩__高考均分'/score '当前成绩'. SAVE OUTFILE=’程序17.sav’. GET FILE=’程序17.sav’.

TITLE '程序17.2'.

GET FILE=’D:\\程序17.sav’.

REGRESSION/NOORIGIN/DEPENDENT score

/METHOD=BACKWARD location vf sex s/SCATTERPLOT=(*SRESID ，*ZPRED ).

TITLE '程序17.3：产生图17.5'. GET FILE=’D:\\程序17.sav’. REGRESSION

/DEPENDENT score

/METHOD=ENTER location vf sex s /RESIDUALS DURBIN.

TITLE '程序17.4'.

GET FILE=’D:\\程序17.sav’.

REGRESSION/NOORIGIN/DEPENDENT score

/METHOD=BACKWARD location vf sex s/RESIDUALS NORM(ZRESID).

TITLE '程序17.5a，产生图17.7'. GET FILE=’D:\\程序17.sav’.

REGRESSION /DEPENDENT score/METHOD=BACKWARD location vf sex s /CASEWISE PLOT(ZRESID) OUTLIERS(2) .

见TITLE '程序17.5b'.

GET FILE='D:\\程序17.sav'.

REGRESSION/NOORIGIN/DEPENDENT score /METHOD=ENTER location vf sex s /SAVE MAHAL.

Examine Mah_1/Plot Boxplot/Statistics Extreme.

TITLE '程序17.6'.

GET FILE='D:\\程序17.sav '.

REGRESSION/MISSING LISTWISE/STATISTICS COEFF OUTS CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10)/NOORIGIN/DEPENDENT score /METHOD=FORWARD location vf sex s.

TITLE '程序17.7'.

GET FILE='D:\\TITLE '程序17.sav '.

REGRESSION/MISSING LISTWISE/STATISTICS COEFF OUTS CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10)/NOORIGIN/DEPENDENT score /METHOD=BACKWARD location vf sex s.

TITLE '程序17.8'.

GET FILE='D:\\程序17.sav '.

REGRESSION/MISSING LISTWISE/STATISTICS COEFF OUTS CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10)/NOORIGIN/DEPENDENT score /METHOD=STEPWISE location vf sex s.

TITLE '程序17.9'.

GET FILE='D:\\程序17.sav'.

REGRESSION/MISSING LISTWISE/STATISTICS COLLIN TOL

/CRITERIA=PIN（.05） POUT（.10）/NOORIGIN/DEPENDENT score /METHOD=STEPWISE location sex s height. TITLE '程序17.10'.

GET FILE='D:\\程序17.sav’'.

REGRESSION/MISSING LISTWISE/STATISTICS COLLIN TOL

/CRITERIA=PIN（.05） POUT（.10）/NOORIGIN/DEPENDENT score /METHOD=STEPWISE location sex s vf.

TITLE '程序18.1'.

DATA LIST/id 1-2 age 3-4 location 5 vf 6 vm 7

s1 8-10 s2 11-13 hight 14-16 weight 17-19 like1 to like3 20-22 v 23 sex 24 will 25 zy 26 xd 27 qj 28 yinc1 29-33 yinc2 34-38 pay1 to pay3 39-47 zo1 to zo3 48-50 bz 51.

MISSING VALUE age(00) v sex like1 to like3 (0),s1 yinc1 yinc2(000) zo1 to zo3 bz(0). BEGIN DATA.

011914441875016610524722110320000200005001001005375 022024247390016510423412140710000100001000500504144 032127400075017012520022710413000170003000000205605 042814441175016309623712740420000300004002000505808

052117730075015708812722543690000900004001000205305 062114153190017513654231540300000000003000501005305 072014457275017212520011540320000200004002001001404 082014434475017114014011510310000100004002001005405 092111156075018414326031742400000000002401001305405 102014546675016411012312141315000150004000001005405 2211447975017414012512142408000150003000001005405 2114732075017111071100722415000150004000200208008 1814737075016911012732710320000200001000050207187 2117435075016811012512140320000200000601001007307 2117745075017613034511740320000200002002002003453 2226643075017216010021542416000172005002000501401 2011157090016712023432542524000360003000000004504 1927345075016611175621142420000250003500201005405 2114437575019017426711711460000700005002001004504 2014453275016310420012542500000000002000000504504 2117745675017213012631543510000150003001500505805 2017247875016009612012742500000000002500001505405 2217741775017112025032112426000360004001000505105 2116545075018306925612542400000000005001000501471 2114441875017111623411112515000150003001000501401 2114744275017212815711540300000000004001000204804 2117447975017012020032710320000200001000500207207 2114446575017712825021746810000200005000100505125 2114440075017614025021742410000100003001001004364 2214149275017511212621411525400254002500500305305 2117643575017613960021511420000300001000500304804 2327745075018013020011743505000050003000500505805 2414443375017612020011441420000240003001000205405 2114544875017313070031510430000400003001001001501 2017342975018013427021140300000000002750300703583 2017700075016510034721740300000000002000000005105 2014542075015911012012710305000050003000500501231 2214345075016310021322742420000200002002000505405 2017746775017714012711511405000075003000501008000 2114140075015610812632141400000000004000100153603 2027448575016009826712742410000100001200101004504 2114752590016313570032740320000200002750500503683 2014441775015610910022142400000000003000500204304 2014442075016310325712150300000000003000003005405 2217741075015810812312510312500125003000300505405 2214442075017013012012510360000600003001000505405 2014555675015809612722141336000360001500300301489 2013555075017011024722141324000240003002001004258

2014456875016009872412741324000240004000500804527 2114457575016911724612141324000240002500200104259 2111154175016511624722541412000120001800500504258 2124453375015811012322552407200072001200050254258 2122253275017512964221544301200024002000100201757 2111156675018214041611441324000240003003000205219 2014454375017713013611142412000180002401501001426 2113145060017811324621141321600216003000501005418 2011160475015309512412142418000300002500500504589 1911156175017512016721142412000120002000200207009 2111159375015208812312141312000120002600150304258 1911158575015812023622142472000720005001501005429 2022257275016813824721143500720012002500100305248 2022255775016812425621102500000000002000200301247 2014455075015410012022141324000240002002001001489 2014482090016712034712741300000000004000000004588 1922283390016510821421153503600036002000050105148 2011183090017112021722141318000180002000500304218 2112282890017514524521742409600120002001002001246 2011159875017513025611142406000084002500500301459 1911159375016009412712742424000360001500501004189？？ 1914459775016010014222141324000240003001001004259 2013457475015709023722141324000240002000500504788 2025559575016211224722542424000240001500500504258 2014556075016010031222143509600096002400600505126 2013356175016008623622544900000000002000200505428 1911156975016111024622742406000060002000500304258 2015557575016009321622151312000120003001000505269 2211161375017211412421141412000204002000100201589 1914441875016610524722110320000200005001001005375 2024247390016510423412140710000100001000500504144 2127400075017012520022710413000170003000000205605 2814441175016309623712740420000300004002000505808 2117730075015708812722543690000900004001000205305 2114153190017513654231540300000000003000501005305 2014457275017212520011540320000200004002001001404 2014434475017114014011510310000100004002001005405 2111156075018414326031742400000000002401001305405 2014546675016411012312141315000150004000001005405 2211447975017414012512142408000150003000001005405 2114732075017111071101722415000150004000200208008 1814737075016911012732710320000200001000050207187 2117435075016811012512140320000200000601001007307 2117745075017613034511740320000200002002002003453

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