01349cam a2200217 i 4500
21318359
2019037043
9781544310305
519.535
LUK/M
Luke, Douglas A.
Multilevel modeling
2
New Delhi
Sage
2020
xv, 107p.
Quantitative applications in the social sciences ;143
"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"--
Multivariate analysis.
Structural equation modeling
Multilevel models (Statistics)
BK
62933
62933
0
0
0
0
KUCL
Stack
2021-10-26
30.00
0
519.535 LUK/M
54744
2023-09-04
2021-10-26
BK