A primer in longitudinal data analysis / Toon Taris.

Format:

• Book

Author/Creator:

• Taris, Toon.

Language:

English

Subjects (All):

• Longitudinal method.
• Social sciences.

Physical Description:

1 online resource (ix, 163 p.) : ill.

Edition:

1st ed.

Place of Publication:

London : SAGE, 2000.

Language Note:

English

Summary:

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.

Contents:

• Cover Page
• Title
• Copyright
• Contents
• Preface
• 1 LONGITUDINAL DATA AND LONGITUDINAL DESIGNS
• Longitudinal data and longitudinal designs
• Covariation and causation
• Designs for collecting longitudinal data
• A checklist
• Further reading
• 2 NONRESPONSE IN LONGITUDINAL RESEARCH
• Nonresponse in cross-sectional and longitudinal designs
• Better safe than sorry: minimizing nonresponse and attrition
• Detecting selective nonresponse
• Dealing with nonresponse
• Summary
• 3 MEASURING CONCEPTS ACROSS TIME: ISSUES OF STABILITY AND MEANING
• What do we talk about when we talk about stability and change?
• Types of change and stability
• Exploratory vs confirmatory factor analysis
• Using the confirmatory factor-analytic model to assess structural invariance
• Example: loneliness across young adulthood
• Discussion
• 4 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
• Example: income determination among men and women
• Assessing causal direction across time: cross-lagged panel analysis
• 5 ANALYSIS OF REPEATED MEASURES
• Examining across-time growth
• Analysis of variance: some basics
• Analysis of variance for longitudinal survey data
• Example: mental well-being of young workers across time
• Concluding remarks
• 6 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.
• Example: continuity of women's employment after childbirth
• Continuous-time survival analysis: evaluation and discussion
• Discrete-time survival analysis
• Example: the transition towards non-virginity
• 7 ANALYZING SEQUENCES
• Event- vs career-centered modes of analysis
• Measuring career change: characterizing development
• Illustration: sensation seeking, job characteristics and mobility
• Creating classifications of careers: distance-based methods
• Same-order methods: sequencing careers
• References
• Author index
• Subject index.

Notes:

• Bibliographic Level Mode of Issuance: Monograph
• Description based on print version record.
• Includes bibliographical references and index.

ISBN:

• 9786610369669
• 9781849208512
• 1849208514
• 9781280369667
• 1280369663
• 9781412933582
• 1412933587

OCLC:

84325704