| 000 | 01588camuu2200313 a 4500 | |
| 001 | 000045719851 | |
| 005 | 20120918214823 | |
| 008 | 120917s2012 nyua b 001 0 eng | |
| 010 | ▼a 2011025014 | |
| 020 | ▼a 9781848720695 (soft cover) | |
| 035 | ▼a (KERIS)REF000016383725 | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a HA32 ▼b .G727 2012 |
| 082 | 0 0 | ▼a 005.5/5 ▼2 22 |
| 084 | ▼a 005.55 ▼2 DDCK | |
| 090 | ▼a 005.55 ▼b G778i | |
| 100 | 1 | ▼a Gray, Colin D. |
| 245 | 1 0 | ▼a IBM SPSS statistics 19 made simple / ▼c Colin D. Gray and Paul R. Kinnear. |
| 260 | ▼a New York : ▼b Psychology Press, ▼c 2012. | |
| 300 | ▼a xiv, 671 p. : ▼b ill. ; ▼c 25 cm. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 505 | 0 0 | ▼t Introduction -- ▼t Getting started with SPSS statistics 19 -- ▼t Editing data sets -- ▼t Describing and exploring your data -- ▼t Graphs and charts -- ▼t Comparing averages : two-sample and one-sample tests -- ▼t The one-way ANOVA -- ▼t Between subjects factorial experiments -- ▼t Within subjects experiments -- ▼t Mixed factorial experiments -- ▼t Measuring statistical association -- ▼t Regression -- ▼t Analyses of multiway frequency tables -- ▼t Predicting category membership : logistic regression -- ▼t The search for latent variables : factor analysis. |
| 630 | 0 0 | ▼a SPSS (Computer file) |
| 650 | 0 | ▼a Social sciences ▼x Statistical methods ▼x Computer programs. |
| 700 | 1 | ▼a Kinnear, Paul R. |
| 740 | 0 2 | ▼a One-way ANOVA. |
| 740 | 0 2 | ▼a Search for latent variables : factor analysis. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 005.55 G778i | 등록번호 111674890 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
1. Introduction. 2. Getting Started with SPSS Statistics 19. 3. Editing Data Sets. 4. Describing and Exploring Your Data. 5. More On Graphs and Charts. 6. Comparing Averages: Two-sample and One-sample Tests. 7. The One-way ANOVA. 8. Between Subjects Factorial Experiments. 9. Within Subjects Experiments. 10. Mixed Factorial Experiments. 11. Measuring Statistical Association. 12. Regression. 13. The Analysis of Covariance (ANCOVA). 14. Analyses of Multiway Frequency Tables. 15. Predicting Category Membership: Logistic Regression. 16. The Search for Latent Variables: Factor Analysis.
정보제공 :
