영문목차
Preface=vii
1. LONGITUDINAl DATA AND LONGITUDINAl DESIGNS=1
Longitudinal data and longitudinal designs=1
Covariation and causation=2
Designs for collecting longitudinal data=5
A checklist=15
Further reading=16
2. NONRESPONSE IN LONGITUDINAl RESEARCH=17
Nonresponse in cross seational and longitudinal designs=17
Better safe than sorry: minimizing nonresponse and attrition=22
Detecting selective nonresponse=27
Dealing with nonresponse=30
Summary=37
Further reading=37
3. MEASURING CONCEPTS ACROSS TIME: ISSUES OF STABILITY AND MEANING=39
What do we talk about when we talk about stability and change?=39
Types of change and stability=40
Exploratory vs confirmatory factor analysis=45
Using the confirmatory factor-analytic model to assess structural invariance=46
Example: loneliness across young adulthood=48
Discussion=51
Further reading=53
4. ISSUES IN DISCRETE-TIME PANEL ANALYSIS=55
Measuring change in discrete time=55
Dependence on initial values: the sophomore slump=56
Change scores: what is the difference?=59
The regressor variable approach, and the return of the difference score=62
Example: income determination among men and women=65
Assessing causal direction across time: cross-lagged panel analysis=67
Further reading=74
5. ANALYSIS OF REPEATED MEASURES=75
Examining across-time growth=75
Analysis of variance: some basics=76
Analysis of variance for longitudinal survey data=84
Example: mental well-being of young workers across time=88
Concluding remarks=90
Further reading=90
6. ANALYZING DURATIONS=93
Survival-, failure time-, and event history-analysis=93
Survival data=95
Continuous-time survival analysis: hazard function and survival function=98
Analysis of covariates: the stratification approach=102
Parametric and semi-parametric approaches to analyzing covariates=105
Example: continuity of women's employment after childbirth=112
Continuous-time survival analysis: evaluation and discussion=113
Discrete-time survival analysis=114
Example: the transition towards non-virginity=116
Concluding remarks=117
Further reading=118
7. ANALYZING SEQUENCES=121
Event- vs career-centered modes of analysis=121
Measuring career change: characterizing development=122
Illustration: sensation seeking, job characteristics and mobility=124
Creating classifications of careers: distance-based methods=128
Same-order methods: sequencing careers=138
Further reading=142
References=145
Author index=157
Subject index=161