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A primer in longitudinal data analysis / Toon Taris.

EBSCOhost Academic eBook Collection (North America) Available online

EBSCOhost Academic eBook Collection (North America)

EBSCOhost eBook Community College Collection Available online

EBSCOhost eBook Community College Collection

Ebook Central Academic Complete Available online

Ebook Central Academic Complete

Ebook Central College Complete Available online

Ebook Central College Complete
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

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