Multilevel Analysis: Techniques and Applications Book

	Preface
1	Introduction to multilevel analysis	1
2	The basic two-level regression model: introduction	11
3	Estimation and hypothesis testing in multilevel regression	37
4	Some Important Methodological and Statistical Issues	49
5	Analyzing Longitudinal Data	73
6	The logistic model for dichotomous data and proportions	103
7	Cross-classified multilevel models	123
8	The multilevel approach to meta-analysis	139
9	Multivariate multilevel regression models	157
10	Sample sizes and power analysis in multilevel regression	173
11	Advanced methods for estimation and testing	197
12	Multilevel factor models	225
13	Multilevel path models	251
14	Latent curve models	263
	App. Data and stories	275
	References	281
	Author index	293
	Subject index	299