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Multilevel and longitudinal modeling with IBM SPSS 2nd ed

Multilevel and longitudinal modeling with IBM SPSS 2nd ed (Loan 11 times)

Material type
단행본
Personal Author
Heck, Ronald H. Thomas, Scott L. Tabata, Lynn Naomi.
Title Statement
Multilevel and longitudinal modeling with IBM SPSS / Ronald H. Heck, Scott L. Thomas, Lynn N. Tabata.
판사항
2nd ed.
Publication, Distribution, etc
New York :   Routledge, Taylor & Francis Group,   2014.  
Physical Medium
xvii, 443 p. : ill. ; 28 cm.
Series Statement
Quantitative methodology series
ISBN
9780415817103 (hbk) 9780415817110 (pbk)
Bibliography, Etc. Note
Includes bibliographical references (p. 413-416) and indexes.
Subject Added Entry-Topical Term
Social sciences --Longitudinal studies. Social sciences --Statistical methods.
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020 ▼a 9780415817103 (hbk)
020 ▼a 9780415817110 (pbk)
020 ▼z 9780203701249 (ebk)
035 ▼a (KERIS)REF000017068279
040 ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d DLC ▼d 211009
050 0 0 ▼a HA32 ▼b .H39 2014
082 0 0 ▼a 005.5/5 ▼2 23
084 ▼a 005.55 ▼2 DDCK
090 ▼a 005.55 ▼b H448m2
100 1 ▼a Heck, Ronald H.
245 1 0 ▼a Multilevel and longitudinal modeling with IBM SPSS / ▼c Ronald H. Heck, Scott L. Thomas, Lynn N. Tabata.
250 ▼a 2nd ed.
260 ▼a New York : ▼b Routledge, Taylor & Francis Group, ▼c 2014.
300 ▼a xvii, 443 p. : ▼b ill. ; ▼c 28 cm.
490 1 ▼a Quantitative methodology series
504 ▼a Includes bibliographical references (p. 413-416) and indexes.
630 0 0 ▼a PASW (Computer file).
630 0 0 ▼a SPSS (Computer file).
650 0 ▼a Social sciences ▼x Longitudinal studies.
650 0 ▼a Social sciences ▼x Statistical methods.
700 1 ▼a Thomas, Scott L.
700 1 ▼a Tabata, Lynn Naomi.
830 0 ▼a Quantitative methodology series.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 005.55 H448m2 Accession No. 111738791 Availability In loan Due Date 2021-12-22 Make a Reservation Available for Reserve R Service M

Contents information

Table of Contents

1. Introduction to Multilevel Modeling with IBM SPSS. 2. Preparing and Examining the Data for Multilevel Analyses.
3. Defining a Basic Two-Level Multilevel Regression Model. 4. Three-Level Univariate Regression Models. 5. Examining Individual Change with Repeated Measures Data. 6. Applications of Mixed Models for Longitudinal Data.
7. Multivariate Multilevel Models. 8. Cross-Classified Multilevel Models. 9. Concluding Thoughts. Appendix A: Syntax Statements. Appendix B: Model Comparisons Across Software Applications. Appendix C: Syntax Routine to Estimate Rho from Model’s Variance Components.


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