11 I HC M BN CNG TP.

H Ch Minh KHOA X HI HC ---------------

cng mn hc Tin hc ng dng trong khoa hc x hi (S dng SPSS trong Nghin cu khoa hc)
1.THNG TIN V GING VIN: 1.Thc s Lm Th nh Quyn 2.a ch lin lc: 56/2 Khu ph 2, P. Tn Thi Nht, Q. 12 3.in thoi: 8833386. Di ng: 0913696458 E-mail: lamthianhquyen@hcm.vnn.vn 2.THNG TIN TNG QUT V MN HC 1.Tn mn hc: Tin hc ng dng trong khoa hc x hi 2.Mc tiu mn hc: SPSS l mt phn mm dng phn tch cc kt qu iu tra trong mi lnh vc, t x hi, gio dc, y khoa, kinh t, marketing, sn xut kinh doanh Cc nghin cu v x hi vi qui m ln (t 100 bn hi tr ln v c rt nhiu cu hi) vi phn mm SPSS s gip cc nh nghin cu/ sinh vin nhp d liu, phn tch v d bo xu hng c d dng hn. 3. S n v hc trnh: 4 4.Phn b thi gian:

5. Cc kin thc c bn cn hc trc: Xc sut thng k, Phng php nghin cu x hi 6. Hnh thc ging dy chnh ca mn hc: Ging l thuyt, thc hnh trn my tnh
7. Gio trnh, ti liu: -X l d liu nghin cu vi SPSS for Windows, Hong Trng, Nh xut bn thng k, 2002. -Gio trnh SPSS (Dnh cho sinh vin khi ngnh khoa hc x hi v nhn vn), Vn Thng- Phan Thnh Hun, Nh xut bn i hc quc gia TP.HCM, 2003. -Datenanalyse mit SPSS fuer fortgeschrittene, Nina Bauer, VS Verlag 2004. -SPSS for Windows, Step by Step, Darren George- Paul Mallery, Allyn and Bacon, 1999. 8. Cc cng c b tr khc: Overhead, Projector, Phng my thc hnh 3.NI DUNG CA MN HC CHNG 1: 1.Tn chng: CC DNG C O LNG 2.S tit d kin: 5 tit 3.Mc tiu yu cu ca chng: Gip sinh vin thit k v phn bit cc dng cu hi trong bn hi- Cc loi thang o. 4.Chi tit cc mc ca chng: 1)o lng trong Khoa hc x hi 2)Thang o v vic to thang o a)Khi nim v thang o b)c im ca thang - di ca thang

22 -Thc o -Ch bo c)Cc loi thang o -Thang nh danh (nominal scale) -Thang th bc (ordinal scale) -Thang khong (interval sclae) -Thang t l (ratio scale) 5. Phng php dy v hc: Ging l thuyt, lm bi tp trong lp (Tp phn bit cc loi thang o) 6.Gio trnh, ti liu: dn

CHNG 2 1.Tn chng: M HA- S M 2.S tit d kin: 5tit 3.Mc tiu yu cu ca chng: Cch m ha cc cu hi trong bn hi v m ha trn my 4.Chi tit cc mc ca chng: 1)nh ngha m ha 2)M ho cc cu hi/bin s c mt phng n tr li 3)M ha cu hi/ bin s vi nhiu phng n tr li a)Trng hp 1: Cu hi/Bin vi nhiu phng n la chn b)Trng hp 2: Cu hi/Bin yu cu s lng hn ch cc phng n tr li 4)M ha vi cu hi m 5.Phng php ging dy: Ging l thuyt, lm bi tp trong lp (Tp m ha cc cu hi) 6.Gio trnh, ti liu: dn CHNG 3: 1.Tn chng: T BN HI N SPSS 2.S tit d kin: 5 tit 3.Mc tiu yu cu ca chng: Cch nhp d liu vo my 4.Chi tit cc mc ca chng: 1)Ca s lm vic ca SPSS -Data View -Variable View 2)Khai bo bin -Tn ca bin (Variable name) -Xc nh c im ca bin -Nhn ca bin (Define Labels) -Gi tr khuyt (Define Missing Values) 3)Nhp d liu 4)Sa i d liu/ Kim tra li 5)M ha li bin (Recode) 6)Tnh cc bin mi (Compute)

33 5.Phng php dy v hc: Ging l thuyt, lm cc bi tp, thc hnh trn my (Tp khai bin, tp nhp d liu) 6.Gio trnh, ti liu: dn

CHNG 4 1.Tn chng: THNG K M T- PHN TCH N BIN 2.S tit d kin: 5 tit 3.Mc tiu yu cu ca chng: Nm vng cc khi nim tn s, tn sut, trung bnh cng, trung v, Mode 4.Chi tit cc mc ca chng: 1)Ma trn d liu 2)Bng phn b tn s -Tn s -Tn sut 3)Lp bng tn s ng thi tnh ton cc i lng thng k m t -Trung bnh cng (Mean) -Trung v (Median) -Mode 4)V biu tn s 5)nh ngha SETS 5.Phng php dy v hc: Ging l thuyt v thc hnh trn my. 6.Gio trnh, ti liu: dn CHNG 5: 1.Tn chng: THNG K SUY DIN- KIM NH CHI-SQUARE
2.S tit d kin: 10 tit 3.Mc tiu yu cu ca chng 4.Chi tit cc mc ca chng

1) Bng cho:Crosstabulation -Tiu chun lp bng cho -Quy tc o lng t l phn trm ca mt bng cho (bng hai bin) -Khi bng cho c N qu nh -Khi no mt bin c gi l c lp v ph thuc? 2)Mc ngha: Sifnificance 3)Kim nh Chi-Square -C s l thuyt -Gi thuyt khng: Ho -Th no l tn sut l thuyt v tn sut quan st? -Tnh Chi-Square -Khi tn sut l thuyt nh hn 5 -o lng mi tng quan da trn Chi-Square ca cc bin nh danh -Cc i lng Tau ca Kendall, d ca Somer, Gamma ca Goddman v Kruskal (dng cho bin th bc) 5.Phng php dy v hc: Ging l thuyt v thc hnh trn my. 6.Gio trnh, ti liu: dn

44 CHNG 6: 1.Tn chng:THNG K SUY DIN: SO SNH TR TRUNG BNH (T-TEST) 2.S tit d kin: 5 tit 3.Mc tiu yu cu ca chng: 4.Chi tit cc mc ca chng: 1)Nguyn tc chung -Th no l hai mu c lp? 2)Mc ch s dng t-Test
3)Kim nh T-Test

-Kim nh T mt mu -Kim nh T vi hai mu .Independent-Samples (Cc mu c lp) .Paired-samples (Mu cp) 5.Phng php dy v hc: Ging l thuyt v thc hnh trn my. 6.Gio trnh, ti liu: dn CHNG 7: 1.Tn chng: THNG K SUY DIN- PHN TCH PHNG SAI 2.S tit d kin: 5 tit 3.Mc tiu yu cu ca chng: 4.Chi tit cc mc ca chng:
1)Phng sai v lch chun o lng bin thin

-Bin thin l g? -V sao phi o bin thin? -Khong bin thin ca mu -Phng sai - lch chun -Khi no s dng T-Test v khi no s dng kim nh phng sai? 2)ng dng: Phn tch phng sai mt yu t -Kim nh s ng nht phng sai: Homogeneity of Variance 5.Phng php dy v hc: Ging l thuyt, thc hnh trn my 6.Gio trnh, ti liu: dn CHNG 8: 1.Tn chng: KIM NH PHI THAM S (NONPARAMETRIC TESTS) 2.S tit d kin: 5 tit 3.Mc tiu yu cu ca chng: 4.Cc mc chi tit ca chng:
1)So snh 2 nhm- 2 mu c lp: Kim nh Mann-Whitney

2)Kim nh du v hng Wilcoxon Signed Ranks Test 3)So snh 3 nhm tr ln: Kim nh Kruskal-Wallis 4)Chi-Square One- Sample Test 5)McNear Test 5.Phng php dy v hc: Ging l thuyt v thc hnh trn my. 6.Gio trnh, ti liu: dn

55 CHNG 9: 1.Tn chng: TNG QUAN 2.S tit d kin: 5 tit 3.Mc tiu yu cu ca chng: 4.Chi tit cc mc ca chng:
1)Tng quan: The Correlate Procedur

-Th no l mi tng quan 2)H s tng quan: Correlationscoefficient .H s Pearson .H s Spearman 3)Quan h tng quan khng phi l quan h nhn qu 5.Phng php dy v hc: Ging l thuyt v thc hnh trn my. 6.Gio trnh, ti liu: dn CHNG 10: 1.Tn chng: HI QUI V HI QUI BI 2.S tit d kin: 10 tit 3.Mc tiu yu cu ca chng: 4.Cc mc chi tit ca chng: 1)Hi quy tuyn tnh: Lineare Regression a)Hi qui l g? -Khi nim hi qui b)H s hi qui c)Tng quan hay hi qui? d)ng dng:
- th phn tn -Hi qui v ng thng bnh phng nh nht

-Phng trnh hi qui 2)Hi qui bi (Multiple Regression Analysis) -H s xc nh bi R 5.Phng php dy v hc: Ging l thuyt v thc hnh trn my. 6.Gio trnh, ti liu: dn VI. NH GI KT QU HC TP Kim tra gia k (Vit) 40% Thi cui k (Thi trn my) 60% TP. H Ch Minh, ngy 28 thng 2 nm 2005 Ngi son tho,

LM TH NH QUYN

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