2020
DOI: 10.20982/tqmp.16.5.p457
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When is it most appropriate to control for initial scores? A comparison of examination methods for two-wave panel survey data changes

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Cited by 3 publications
(3 citation statements)
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“…More specifically, future models should better account for the nuances of change throughout psychotherapy, given conflicting consensus on the most appropriate way to analyse change in various situations. This study utilized residualized change scores to account for baseline severity of symptoms without inflating results, but latent change scores could better account for change and measurement error; they were beyond the scope of this current initial study (Saito, 2020).…”
Section: Discussionmentioning
confidence: 99%
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“…More specifically, future models should better account for the nuances of change throughout psychotherapy, given conflicting consensus on the most appropriate way to analyse change in various situations. This study utilized residualized change scores to account for baseline severity of symptoms without inflating results, but latent change scores could better account for change and measurement error; they were beyond the scope of this current initial study (Saito, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…A hierarchical linear regression was calculated to predict change in depression across treatment with change in OCD symptom severity and distress tolerance entered in the first step, and change in EA entered in the second step. Residualized change scores were utilized as dependent variables in this study given that they have been found to produce similar results to change scores when no distinct group differences exist and account for potential regression to the mean (Saito, 2020).…”
Section: Missing Datamentioning
confidence: 99%
“…Finally, to explore whether change in parents’ learning of CPS (CPS-AIM-P) predicted changes in outcomes (Y-OQ-30 and PCRI), we computed a residualized change score for each variable by regressing each variable at 3 months on itself at intake, removing baseline differences and obtaining the residuals (see Castro-Schilo & Grimm, 2018; Saito, 2020), then conducted linear regressions with the residualized change score of Y-OQ-30 and PCRI predicted by the residualized change score of CPS-AIM-P, with the covariates as predictors and a Bonferroni adjustment ( p = .01) to account for five tests (Y-OQ-30 and four subscales of PCRI in Sample 4).…”
Section: Methodsmentioning
confidence: 99%