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Cited by 365

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Longitudinal Models in the Behavioral and Related Sciences

·2017·Routledge eBooks
DOI 10.4324/9781315091655
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Abstract

Longitudinal Models in the Behavioral and Related Sciences opens with the latest theoretical developments. In particular, the book addresses situations that arise due to the categorical nature of the data, issues related to state space modeling, and potential problems that may arise from network analysis and/or growth-curve data. The focus of part two is on the application of longitudinal modeling in a variety of disciplines. The book features applications such as heterogeneity on the patterns of a firm’s profit, on house prices, and on delinquent behavior; non-linearity in growth in assessing cognitive aging; measurement error issues in longitudinal research; and distance association for the analysis of change. Part two clearly demonstrates the caution that should be taken when applying longitudinal modeling as well as in the interpretation of the results. This new volume is ideal for advanced students and researchers in psychology, sociology, education, economics, management, medicine, and neuroscience.

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Metadata

Venue
Routledge eBooks
Publisher
Routledge
Published
2017-09-29
DOI
10.4324/9781315091655
OpenAlex
W1617444245
Cited by
365
References
0
FWCI
6.62
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Longitudinal Models in the Behavioral and Related Sciences. https://app.cochat.ai/papers/10.4324/9781315091655
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Longitudinal Models in the Behavioral and Related Sciences. (2017). Routledge eBooks. https://doi.org/10.4324/9781315091655

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.