Multilevel and Longitudinal Modeling With IBM SPSS 2022
DOI: 10.4324/9780367824273-1
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Introduction to Multilevel Modeling With IBM SPSS

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Cited by 68 publications
(110 citation statements)
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“…At Step 2, the variables “Condition” and “Time” (each dummy coded 0 and 1) were added into the model, followed by covariates (baseline time of enrollment, gender, and youth age) at Step 3. As indicated by chi-square statistics for the change in −2 Log Likelihood, adding the covariates significantly improved the model ( p = .01) for all outcomes of interest (Heck et al, 2010). For parent-report models, baseline youth internalizing variables (each anxiety, depressive symptoms) were added as additional covariates, given the presence of baseline between-groups differences on these variables.…”
Section: Resultsmentioning
confidence: 96%
“…At Step 2, the variables “Condition” and “Time” (each dummy coded 0 and 1) were added into the model, followed by covariates (baseline time of enrollment, gender, and youth age) at Step 3. As indicated by chi-square statistics for the change in −2 Log Likelihood, adding the covariates significantly improved the model ( p = .01) for all outcomes of interest (Heck et al, 2010). For parent-report models, baseline youth internalizing variables (each anxiety, depressive symptoms) were added as additional covariates, given the presence of baseline between-groups differences on these variables.…”
Section: Resultsmentioning
confidence: 96%
“…To examine TSE change, a four-step procedure of multilevel modelling was applied to analyse the data in SPSS (see Heck et al, 2013). A null model was fit first to explore whether multilevel modelling was warranted.…”
Section: Methodsmentioning
confidence: 99%
“…-2LL was calculated as the models for each subdomain were nested sequentially. Smaller values of -2LL indicate a better fit and the significance of improvements (Δ -2LL) were tested based on the chi-square distribution with degrees of freedom equal to the additional parameters estimated (Field, 2013; Heck et al, 2013). Results are reported based on the best-fit model.…”
Section: Methodsmentioning
confidence: 99%
“…Other terms estimated the relation between child maltreatment and sleep (β 3 ), the cross-level interaction between child maltreatment and daily stress (β 4 ), and the Level 2 interaction between childhood maltreatment and aggregated stress (β 5 ). The Level 1 (daily) and Level 2 (aggregated) stress variables were tested in the same model (per Heck et al, 2014, p. 106).…”
Section: Methodsmentioning
confidence: 99%