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1

On standardized measurement in behavioral science:

Nesselroade, John R. ; Molenaar, Peter C. M.
Journal for Person-Oriented Research. 8 (2022) 2 - p. 43-51 , 2022

Link: https://doi.org/10.17505..

2

List of contributors:

, In: Handbook of the Psychology of Aging,

Aldwin, Carolyn M. ; Alea, Nicole ; Anstey, Kaarin J.... - p. xi-xii , 2021

Link: https://doi.org/10.1016/..

3

Measurement and models for multi-timescale psychological pr..:

, In: Handbook of the Psychology of Aging,

Boker, Steven M. ; Nesselroade, John R. - p. 19-34 , 2021

Link: https://doi.org/10.1016/..

4

Developments in developmental research and theory:

Nesselroade, John R.
Applied Developmental Science. 23 (2018) 4 - p. 346-348 , 2018

Link: https://doi.org/10.1080/..

5

A Rejoinder:

Nesselroade, John R. ; Molenaar, Peter C. M.
Multivariate Behavioral Research. 51 (2016) 2-3 - p. 428-431 , 2016

Link: https://doi.org/10.1080/..

6

Some Behaviorial Science Measurement Concerns and Proposals:

Nesselroade, John R. ; Molenaar, Peter C. M.
Multivariate Behavioral Research. 51 (2016) 2-3 - p. 396-412 , 2016

Link: https://doi.org/10.1080/..

7

Test Reliability at the Individual Level:

Hu, Yueqin ; Nesselroade, John R. ; Erbacher, Monica K....
Structural Equation Modeling: A Multidisciplinary Journal. 23 (2016) 4 - p. 532-543 , 2016

Link: https://doi.org/10.1080/..

8

Benefits and problems using structural equation modeling in..:

, In: Longitudinal data analysis using structural equation models.,

McArdle, John J. ; Nesselroade, John R. - p. 67-72 , 2014

Link: https://doi.org/10.1037/..

9

Models for intensively repeated measures:

, In: Longitudinal data analysis using structural equation models.,

McArdle, John J. ; Nesselroade, John R. - p. 355-365 , 2014

Link: https://doi.org/10.1037/..

10

Analyses based on cross-lagged regression and changes:

, In: Longitudinal data analysis using structural equation models.,

McArdle, John J. ; Nesselroade, John R. - p. 255-269 , 2014

Link: https://doi.org/10.1037/..

11

The bivariate latent change score model for multiple occasi..:

, In: Longitudinal data analysis using structural equation models.,

McArdle, John J. ; Nesselroade, John R. - p. 291-300 , 2014

Link: https://doi.org/10.1037/..

12

Factor invariance in longitudinal research:

, In: Longitudinal data analysis using structural equation models.,

McArdle, John J. ; Nesselroade, John R. - p. 345-350 , 2014

Link: https://doi.org/10.1037/..

13

Analyses based on cross-lagged regression in changes of fac..:

, In: Longitudinal data analysis using structural equation models.,

McArdle, John J. ; Nesselroade, John R. - p. 271-279 , 2014

Link: https://doi.org/10.1037/..

14

Analyses based on advanced latent change score models:

, In: Longitudinal data analysis using structural equation models.,

McArdle, John J. ; Nesselroade, John R. - p. 133-140 , 2014

Link: https://doi.org/10.1037/..

15

Multiple group structural equation modeling approaches to g..:

, In: Longitudinal data analysis using structural equation models.,

McArdle, John J. ; Nesselroade, John R. - p. 167-175 , 2014

Link: https://doi.org/10.1037/..

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