More precisely, test scores of each test/subtest were entered into separate 'multiple regression' design matrices.
The gender and age of each participant was included in the multiple regression analysis design matrix as covariates of no interest to model and thus regress out any effects attributable to age or gender [ 11, 26].
Method: We examined the main cohort of the SCDS to determine if this might be true using a longitudinal multiple regression analysis design that focused on those endpoints that were repeatedly measured at different ages.
The present study used a hierarchical multiple regression research design to determine the role that available supports strategies, environmental factors, and client characteristics play in assessed quality of life-related personal outcomes.
Path analysis is a statistical method closely related to multiple regression, and designed to examine statistical consequences of biological models of causal relationships among variables [52], [53].
It has been argued previously that multiple linear regression designs in combination with random effects group statistics optimally account for appropriate sources of between-subject variance (Lorch & Myers, 1990).
Multilevel analysis is a modified form of multiple linear regression designed to deal with data with a hierarchical clustering structure and has been extensively used in analysis of personal network data (e.g., Gierveld and Perlman 2006; van Duijn et al. 1999; Wellman and Frank 2001).
The experimental data obtained were fitted to a second-order polynomial equation using multiple regression analysis by Design-Expert 7 software and were analyzed by analysis of variance (ANOVA).
Stepwise multiple regression analysis was designed to find the most powerful predictor of sleep disturbances.
