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| LEADER |
03240cam a22002297i 4500 |
| 005 |
20141104123550.0 |
| 008 |
131213s2014 dcu b 001 0 eng |
| 010 |
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|a 2013046896
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| 020 |
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|a 9781433817151
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| 040 |
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|a DLC
|b eng
|c DLC
|e ppiak
|d HR-ZaFF
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| 100 |
1 |
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|a McArdle, John J.
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| 245 |
1 |
0 |
|a Longitudinal data analysis using structural equation models /
|c John J. McArdle and John R. Nesselroade.
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| 260 |
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|a Washington :
|b American Psychological Association,
|c 2014
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| 300 |
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|a xi, 426 str. ;
|b graf. prikazi ;
|c 26 cm
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| 504 |
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|a Bibliografija: str. 373-400
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| 504 |
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|a Kazalo
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| 505 |
0 |
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|a Preface -- Overview -- Foundations -- Background and goals of longitudinal research -- Basics of structural equation modeling -- Some technical details on structural equation modeling -- Using the simplified ram notation -- Benefits and problems of longitudinal structure modeling -- The first purpose of LSEM : direct identification of intra-individual changes -- Alternative definitions of individual changes -- Analyses based on latent curve models (LCM) -- Analyses based on time series regression (TSR) -- Analyses based on latent change score (LCS) models -- Analyses based on advanced latent change score models -- The second purpose of LSEM : identification of inter-individual differences in intra-individual changes -- Studying inter-individual differences in intra-individual changes -- Repeated measures analysis of variance as a structural model -- Multi-level structural equation modeling approaches to group differences -- Multi-group structural equation modeling approaches to group differences -- Incomplete data with multiple group modeling of changes -- The third purpose of LSEM : identification of inter-relationships in growth -- Considering common factors/latent variables in models -- Considering factorial invariance in longitudinal SEM -- Alternative common factors with multiple longitudinal observations -- More alternative factorial solutions for longitudinal data -- Extensions to longitudinal categorical factors -- The fourth purpose of LSEM : identification of causes (determinants) of intra-individual changes -- Analyses based on cross-lagged regression and changes -- Analyses based on cross-lagged regression in changes of factors -- Current models for multiple longitudinal outcome scores -- The bivariate latent change score model for multiple occasions -- Plotting bivariate latent change score results -- The fifth purpose of lsem : identification of inter-individual differences in causes (determinants) of intra-individual changes -- Dynamic processes over groups -- Dynamic influences over groups -- Applying a bivariate change model with multiple groups -- Notes on the inclusion of randomization in longitudinal studies -- The popular repeated measures analysis of variance -- Summary and discussion -- Contemporary data analyses based on planned incompleteness -- Factor invariance in longitudinal research -- Variance components for longitudinal factor models -- Models for intensively repeated measures -- CODA : the future is yours! -- References.
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| 650 |
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0 |
|a Longitudinal method.
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| 650 |
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0 |
|a Psychology
|x Research.
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| 700 |
1 |
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|a Nesselroade, John R.
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| 942 |
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|c KNJ
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| 999 |
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|c 330358
|d 330355
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