A primer in longitudinal data analysis / Toon Taris.
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e-Library
Electronic Book@IST |
EBook | Available |
Includes bibliographical references and index.
Longitudinal data and longitudinal designs -- Covariation and causation -- Designs for collecting longitudinal data -- Nonresponse in longitudinal research -- Nonresponse in cross-sectional and longitudinal designs -- Minimizing nonresponse and attrition -- Detecting selective nonresponse -- Measuring concepts across time: issues of stability and meaning -- Types of change and stability -- Exploratory vs. confirmatory factor analysis -- Using the confirmatory factor-analytic model to assess structural invariance -- Issues in discrete-time panel analysis -- Measuring change in discrete time -- Dependence on initial values: the sophomore slump -- Change scores: what is the difference? -- The regressor variable approach and the return of the difference score -- Assessing causal direction across time: cross-lagged panel analysis -- Analysis of repeated measures -- Examining across-time growth -- Analysis of variance: some basics -- Analysis of variance for longitudinal survey data -- Analyzing durations -- Survival-, failure time- and event history-analysis -- Survival data -- Continuous-time survival analysis: hazard function and survival function -- Analysis of covariates: the stratification approach -- Parametric and semi-parametric approaches to analyzing covariates -- Discrete-time survival analysis -- Analyzing sequences -- Event- vs. career-centered modes of analysis -- Measuring career change: characterizing development -- Creating classifications of careers: distance-based methods -- Same-order methods: sequencing careers.
Print version record.
Toon Taris' survival guide takes the reader through the strengths and weaknesses of longitudinal research, making clear how to design a longitudinal study, how to collect data most effectively and how to interpret results.
English.