CoChat
Sign Up
Cited by 92Psychometric Methodologies and TestingMental Health Research TopicsChild and Adolescent Psychosocial and Emotional Development

Analyzing true change in longitudinal multitrait-multimethod studies: Application of a multimethod change model to depression and anxiety in children.

Geiser, Christian, Eid, Michael, Nussbeck, Fridtjof W., Courvoisier, Delphine S., Cole, David A.·2010·Developmental Psychology
DOI 10.1037/a0017888
Open this paper in CoChat — free account

Abstract

The authors show how structural equation modeling can be applied to analyze change in longitudinal multitrait-multimethod (MTMM) studies. For this purpose, an extension of latent difference models (McArdle, 1988; Steyer, Eid, & Schwenkmezger, 1997) to multiple constructs and multiple methods is presented. The model allows investigators to separate true change from measurement error and to analyze change simultaneously for different methods. The authors also show how Campbell and Fiske's (1959) guidelines for analyzing convergent and discriminant validity can be applied to the measurement of latent change. The practical application of the multimethod change model is illustrated in a reanalysis of child depression and anxiety scores (N = 906 American children) that were assessed by self- and parent reports on three measurement occasions. The analyses revealed that (a) the convergent validity of change was low for both constructs and (b) sex was a significant predictor of self-reported, but not of parent reported, anxiety states. Finally, the authors discuss advantages and limitations and compare the model with other approaches for analyzing longitudinal MTMM data.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1037/a0017888

Cites

83 of 83 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006). An introduction to latent variable growth curve modeling: Concepts, issues, and applications (2nd ed.). Mahwah, NJ: Erlbaum.
  2. Eid, M., & Diener, E. (Eds.). (2006). Handbook of multimethod measurement in psychology. Washington, DC: American Psychological Association.
  3. Finney, S. J., & DiStefano, C. (2006). Non-normal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 269-314). Greenwich, CT: Information Age Publishing.
  4. Muthe ´n, L. K., & Muthe ´n, B. O. (1998-2007). Mplus user's guide (5th ed.). Los Angeles, CA: Author.
  5. Steyer, R., Schmitt, M., & Eid, M. (1999). Latent state-trait theory and research in personality and individual differences. European Journal of Personality, 13, 389-408.

Cited by

Sorted by citations

Related

Authors
Geiser, C., Eid, M., Nussbeck, F. W., Courvoisier, D. S., & Cole, D. A.
Affiliations
  • Freie Universität Berlin (DE)
  • University of Zurich (CH)
  • University of Geneva (CH)
  • Vanderbilt University (US)
ORCID
Venue
Developmental Psychology
Publisher
American Psychological Association (APA)
Published
2010-01
Volume
46
Issue
1
Pages
29-45
ISSN
  • 0012-1649 (ISSN-L)
  • 1939-0599
DOI
10.1037/a0017888
OpenAlex
W2096642658
Cited by
92
References
83
Citations by year
2025: 5 · 2024: 4 · 2023: 6 · 2022: 6 · 2021: 6 · 2020: 9 · 2019: 3 · 2018: 4 · 2017: 9 · 2016: 10 · 2015: 5 · 2014: 8 · 2013: 4 · 2012: 8
FWCI
6.95
Type
journal article
Language
en
Open access
closed
Locations
  • Developmental Psychology (publishedVersion)
  • PubMed (publishedVersion)
  • Digital Commons - USU (Utah State University) (submittedVersion)
  • PUB – Publications at Bielefeld University (Bielefeld University) (submittedVersion)
  • Publikationen an der Universität Bielefeld (Universität Bielefeld) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
Keywords
multitrait-multimethod design, measurement error, convergent validity, discriminant validity, childhood depression, childhood anxiety, self-report, parent report, sex differences, longitudinal data
MeSH terms
Anxiety, Child, Depression, Factor Analysis, Statistical, Humans, Longitudinal Studies, Models, Psychological, Personality Assessment, Psychiatric Status Rating Scales, Psychology, Self Concept, Chi-Square Distribution

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review