Multilevel modeling / Douglas A. Luke, Washington University in St. Louis.
Material type: TextSeries: Quantitative applications in the social sciences ; 143Publisher: Los Angeles : SAGE Publishing, [2020]Edition: Second editionDescription: xv, 107 pages ; 22 cmContent type:- text
- unmediated
- volume
- 9781544310305
- 519.5/35 23
- QA278 .L85 2020
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Book | Indian Institute of Management Visakhapatnam - Andhra University | 519.5 LUK (Browse shelf(Opens below)) | Available | 001443 |
Includes bibliographical references (pages 100-104) and index.
"Since the 1st edition of this monograph was published in 2004, there have been numerous developments in the statistical and computational methods used in multilevel and longitudinal modeling. Mixed-effects modeling has been solidified as a primary means for accurately and efficiently estimating a wide-variety of multilevel and longitudinal models. More complex models that include cross-level interactions, cross-classified random effects, alternative covariances structures, and the like appear much more frequently in the health and social sciences research literature. Sophisticated mixedeffects modeling procedures are now incorporated in most comprehensive statistical software packages (including R, Stata, and SAS), and thus there is less need for specialized multilevel software"-- Provided by publisher.
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