V. DESIGN-BASED APPROACHES FOR IMPROVING MEASUREMENT IN DEVELOPMENTAL SCIENCE

Overview

Journal Monogr Soc Res Child Dev

Specialty Pediatrics

Date 2017 May 6

PMID 28475257

Citations 5

Authors

Jonathan Rush

Scott M Hofer

Affiliations

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Abstract

The study of change and variation within individuals, and the relative comparison of changes across individuals, relies on the assumption that observed measurements reflect true change in the construct being measured. Measurement properties that change over time, contexts, or people pose a fundamental threat to validity and lead to ambiguous conclusions about change and variation. We highlight such measurement issues from a within-person perspective and discuss the merits of measurement-intensive research designs for improving precision of both within-person and between-person analysis. In general, intensive measurement designs, potentially embedded within long-term longitudinal studies, provide developmental researchers an opportunity to more optimally capture within-person change and variation as well as provide a basis to understand changes in dynamic processes and determinants of these changes over time.

Citing Articles

Changes in daily stress reactivity and changes in physical health across 18 years of adulthood.

Rush J, Charles S, Willroth E, Cerino E, Piazza J, Almeida D Ann Behav Med. 2024; 59(1).

PMID: 39729502 PMC: 11761442. DOI: 10.1093/abm/kaae086.

Utility of the social skills improvement system-rating scales for capturing dynamic social constructs: Evidence using the measurement model of derivatives.

Frye K, Anthony C, Lei P, Husmann K, DiPerna J Child Dev. 2024; 96(2):721-735.

PMID: 39563008 PMC: 11868689. DOI: 10.1111/cdev.14199.

Socioeconomic Disparities, Nighttime Bedroom Temperature, and Children's Sleep.

Hinnant B, Buckhalt J, Brigham E, Gillis B, El-Sheikh M J Appl Dev Psychol. 2023; 86.

PMID: 37035841 PMC: 10081498. DOI: 10.1016/j.appdev.2023.101530.

Examining the Effectiveness of the WITS Programs in the Context of Variability in Trajectories of Child Development.

Leadbeater B, Sukhawathanakul P, Rush J, Merrin G, Lewis N Prev Sci. 2021; 23(4):538-551.

PMID: 34890004 DOI: 10.1007/s11121-021-01327-3.

Predictive modeling of neurobehavioral state and trait variation across development.

Sanchez-Alonso S, Aslin R Dev Cogn Neurosci. 2020; 45:100855.

PMID: 32942148 PMC: 7501421. DOI: 10.1016/j.dcn.2020.100855.

References

Salthouse T, Nesselroade J . Dealing with short-term fluctuation in longitudinal research. J Gerontol B Psychol Sci Soc Sci. 2010; 65(6):698-705. PMC: 2954329. DOI: 10.1093/geronb/gbq060. View

McArdle J . Structural Factor Analysis Experiments with Incomplete Data. Multivariate Behav Res. 2016; 29(4):409-54. DOI: 10.1207/s15327906mbr2904_5. View

Thorvaldsson V, Hofer S, Berg S, Johansson B . Effects of repeated testing in a longitudinal age-homogeneous study of cognitive aging. J Gerontol B Psychol Sci Soc Sci. 2006; 61(6):P348-54. DOI: 10.1093/geronb/61.6.p348. View

Hoffman L, Hofer S, Sliwinski M . On the confounds among retest gains and age-cohort differences in the estimation of within-person change in longitudinal studies: a simulation study. Psychol Aging. 2011; 26(4):778-91. PMC: 3222751. DOI: 10.1037/a0023910. View

Sliwinski M, Smyth J, Hofer S, Stawski R . Intraindividual coupling of daily stress and cognition. Psychol Aging. 2006; 21(3):545-57. PMC: 2879634. DOI: 10.1037/0882-7974.21.3.545. View

Curran P, Bauer D . The disaggregation of within-person and between-person effects in longitudinal models of change. Annu Rev Psychol. 2009; 62:583-619. PMC: 3059070. DOI: 10.1146/annurev.psych.093008.100356. View

Ferrer E, Balluerka N, Widaman K . Factorial Invariance and The Specification of Second-Order Latent Growth Models. Methodology (Gott). 2010; 4(1):22-36. PMC: 2799302. DOI: 10.1027/1614-2241.4.1.22. View

Ladd G, Kochenderfer-Ladd B . Identifying victims of peer aggression from early to middle childhood: analysis of cross-informant data for concordance, estimation of relational adjustment, prevalence of victimization, and characteristics of identified victims. Psychol Assess. 2002; 14(1):74-96. DOI: 10.1037//1040-3590.14.1.74. View

Ferrer E, Salthouse T, Stewart W, Schwartz B . Modeling age and retest processes in longitudinal studies of cognitive abilities. Psychol Aging. 2004; 19(2):243-59. DOI: 10.1037/0882-7974.19.2.243. View

10.

Diener E . Subjective well-being. The science of happiness and a proposal for a national index. Am Psychol. 2001; 55(1):34-43. View

11.

Rabbitt P, Diggle P, Smith D, Holland F, Mc Innes L . Identifying and separating the effects of practice and of cognitive ageing during a large longitudinal study of elderly community residents. Neuropsychologia. 2001; 39(5):532-43. DOI: 10.1016/s0028-3932(00)00099-3. View

12.

Kahneman D, Krueger A, Schkade D, Schwarz N, Stone A . A survey method for characterizing daily life experience: the day reconstruction method. Science. 2004; 306(5702):1776-80. DOI: 10.1126/science.1103572. View

13.

Rush J, Hofer S . Differences in within- and between-person factor structure of positive and negative affect: analysis of two intensive measurement studies using multilevel structural equation modeling. Psychol Assess. 2014; 26(2):462-73. PMC: 4681324. DOI: 10.1037/a0035666. View

14.

Ludtke O, Marsh H, Robitzsch A, Trautwein U, Asparouhov T, Muthen B . The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies. Psychol Methods. 2008; 13(3):203-29. DOI: 10.1037/a0012869. View

15.

Rast P, MacDonald S, Hofer S . Intensive Measurement Designs for Research on Aging. GeroPsych (Bern). 2014; 25(2):45-55. PMC: 3963383. DOI: 10.1024/1662-9647/a000054. View

16.

Graham J, Hofer S, MacKinnon D . Maximizing the Usefulness of Data Obtained with Planned Missing Value Patterns: An Application of Maximum Likelihood Procedures. Multivariate Behav Res. 2016; 31(2):197-218. DOI: 10.1207/s15327906mbr3102_3. View

17.

Martin M, Hofer S . Intraindividual variability, change, and aging: conceptual and analytical issues. Gerontology. 2003; 50(1):7-11. DOI: 10.1159/000074382. View

18.

Geldhof G, Preacher K, Zyphur M . Reliability estimation in a multilevel confirmatory factor analysis framework. Psychol Methods. 2013; 19(1):72-91. DOI: 10.1037/a0032138. View

19.

Allen J, Chango J, Szwedo D, Schad M, Marston E . Predictors of susceptibility to peer influence regarding substance use in adolescence. Child Dev. 2011; 83(1):337-50. PMC: 3390749. DOI: 10.1111/j.1467-8624.2011.01682.x. View

20.

Cranford J, Shrout P, Iida M, Rafaeli E, Yip T, Bolger N . A procedure for evaluating sensitivity to within-person change: can mood measures in diary studies detect change reliably?. Pers Soc Psychol Bull. 2006; 32(7):917-29. PMC: 2414486. DOI: 10.1177/0146167206287721. View