Introduction to Multilevel Modeling Techniques (Record no. 1574)
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| control field | 0429595662 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250317100404.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250312042020GB 118 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780429595660 |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 54.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
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| Subject category code | PSY030000 |
| Source | bisac |
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| Subject category code | BUS061000 |
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| Subject category code | EDU027000 |
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| Subject category code | PSY000000 |
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| Subject category code | REF018000 |
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| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 001.422 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ronald Heck |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to Multilevel Modeling Techniques |
| Remainder of title | MLM and SEM Approaches |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 4 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Oxford |
| Name of publisher, distributor, etc. | Routledge |
| Date of publication, distribution, etc. | 20200324 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 404 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives. New to this edition: An expanded focus on the nature of different types of multilevel data structures (e.g., cross-sectional, longitudinal, cross-classified, etc.) for addressing specific research goals; Varied modelling methods for examining longitudinal data including random-effect and fixed-effect approaches; Expanded coverage illustrating different model-building sequences and how to use results to identify possible model improvements; An expanded set of applied examples used throughout the text; Use of four different software packages (i.e., Mplus, R, SPSS, Stata), with selected examples of model-building input files included in the chapter appendices and a more complete set of files available online. This is an ideal text for graduate courses on multilevel, longitudinal, latent variable modelling, multivariate statistics, or advanced quantitative techniques taught in psychology, business, education, health, and sociology. Recommended prerequisites are introductory univariate and multivariate statistics. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Scott L. Thomas |
| Relationship | A01 |
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