Multilevel modeling / Douglas A. Luke, Washington University in St. Louis.

Author/creator Luke, Douglas A.
Format Electronic
EditionSecond edition.
Publication InfoLos Angeles : SAGE Publishing, [2020]
Descriptionxv, 107 pages ; 22 cm
Supplemental ContentFull text available from SAGE Research Methods Core
Subjects

SeriesQuantitative applications in the social sciences ; 143
Abstract "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.
Bibliography noteIncludes bibliographical references (pages 100-104) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2019037043
ISBN9781544310305 (paperback)
ISBN(ebook)
ISBN(ebook)
ISBN(adobe pdf)