ArticleStructural equation modeling : a multidisciplinary journal2018
Recovering Predictor-Criterion Relations Using Covariate-Informed Factor Score Estimates.
Article in Structural equation modeling : a multidisciplinary journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Causally Interpretable Meta-analysis: Application in Adolescent HIV Prevention.Prevention science : the official journal of the Society for Prevention Research · 2022Pooled it
- Factor Scores in Small Samples: Recommendations and Solutions.Educational and psychological measurement · 2026Article
- Differential item functioning of PROMIS Sleep Disturbance-Short Form 8a across levels of health literacy in a community sample of adults.Psychological assessment · 2026Article
- A primer on intensive longitudinal psychometrics.Behavior research methods · 2026Review
- Early childhood measurement invariance of the Strengths and Difficulties Questionnaire across age, race, sex, and socioeconomic status.Psychological assessment · 2025Article
- Practical Implications of Sum Scores Being Psychometrics' Greatest Accomplishment.Psychometrika · 2024Article
- Systematic Integration of Multi-Informant Externalizing Ratings in Clinical Settings.Research on child and adolescent psychopathology · 2024Article
- Psychometric properties of sum scores and factor scores differ even when their correlation is 0.98: A response to Widaman and Revelle.Behavior research methods · 2023Review
- Informing Harmonization Decisions in Integrative Data Analysis: Exploring the Measurement Multiverse.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Can severity of substance use be measured across drug classes? Estimating differential item functioning by drug class in two general measures of substance use severity.Drug and alcohol dependence · 2023Article
- Measurement invariance of maternal depressive symptoms across the first 2 years since birth and across racial group, education, income, primiparity, and age.Psychological assessment · 2023Article
- Leveraging item-level accuracy and reaction time to address ceiling effects in the measurement of inhibitory control in preschool-aged children.Frontiers in psychology · 2023Article
- Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial.Structural equation modeling : a multidisciplinary journal · 2023Article
- Integrative data analysis of self-efficacy in 4 clinical trials for alcohol use disorder.Alcoholism, clinical and experimental research · 2021Article
- Individual Differences in the Stability and Change of Childhood Depression: A Growth Mixture Model With Structured Residuals.Child development · 2021Article
- Capturing Environmental Dimensions of Adversity and Resources in the Context of Poverty Across Infancy Through Early Adolescence: A Moderated Nonlinear Factor Model.Child development · 2021Article
- Harmonizing altered measures in integrative data analysis: A methods analogue study.Behavior research methods · 2021Article
- Psychometric Models for Scoring Multiple Reporter Assessments: Applications to Integrative Data Analysis in Prevention Science and Beyond.International journal of behavioral development · 2021Article
- Secondary Prevention of Depressive Prodrome in Adolescents: Before and After Attending a Jogging Program on Campus.International journal of environmental research and public health · 2020Article
- Estimation of Latent Variable Scores with Multiple Group Item Response Models: Implications for Integrative Data Analysis.Structural equation modeling : a multidisciplinary journal · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Although it is currently best-practice to directly model latent factors whenever feasible, there remain many situations in which this approach is not tractable. Recent advances in covariate-informed factor score estimation can be used to provide manifest scores that are used in second-stage analysis, but these are currently understudied. Here we extend our prior work on factor score recovery to examine the use of factor score estimates as predictors both in the presence and absence of the same covariates that were used in score estimation. Results show that whereas the relation between the factor score estimates and the criterion are typically well recovered, substantial bias and increased variability is evident in the covariate effects themselves. Importantly, using covariate-informed factor score estimates substantially, and often wholly, mitigates these biases. We conclude with implications for future research and recommendations for the use of factor score estimates in practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.