Table 1 Issues in PPM model studies and... | Emerald Publishing

Table 1

Issues in PPM model studies and meta-analytical insights to improve future research

Issue	Status quo	Future research based on meta-analytical insights
Predictor variable choice	Predictor variables are selected arbitrarily across PPM model studies without a clear rationale	This meta-analytical review identifies the ten most frequently used predictor variables in PPM model studies, providing a reference point. This enables researchers to justify their variable selection based on cumulative evidence
Predictor variable categorization	Predictor variables are categorized inconsistently across PPM model studies	The meta-analytical review identifies the categorization for the ten most frequently used predictor variables in PPM model studies, providing a reference point. This allows researchers to justify their variable categorization based on cumulative evidence
Measurement	Predictor variables and dependent variables are measured inconsistently across PPM model studies	This meta-analytical review provides an overview of the most frequently used valid measurement scales, encouraging standardization. This enables researchers to select measurement scales that improve comparability across studies
Effect sizes	Effect sizes differ across PPM model studies with no benchmark for comparison	The meta-analytical review provides a benchmark for effect sizes. This allows researchers to identify anomalous results and ensure appropriate sample sizes in their study designs
Effect directions	Effect directions differ across PPM model studies with no benchmark for comparison	This meta-analytical review provides a benchmark for effect directions. This enables researchers to identify anomalous results
Variance explained	Variance explained differs across PPM model studies with no benchmark for comparison	This meta-analytical review provides a benchmark for variance explained. This enables researchers to identify anomalous results
Moderators	Individual level moderators are investigated	This meta-analytical review provides insights into study level moderators. This provides researchers with a further explanation for differences in effect sizes

Issue	Status quo	Future research based on meta-analytical insights
Predictor variable choice	Predictor variables are selected arbitrarily across PPM model studies without a clear rationale	This meta-analytical review identifies the ten most frequently used predictor variables in PPM model studies, providing a reference point. This enables researchers to justify their variable selection based on cumulative evidence
Predictor variable categorization	Predictor variables are categorized inconsistently across PPM model studies	The meta-analytical review identifies the categorization for the ten most frequently used predictor variables in PPM model studies, providing a reference point. This allows researchers to justify their variable categorization based on cumulative evidence
Measurement	Predictor variables and dependent variables are measured inconsistently across PPM model studies	This meta-analytical review provides an overview of the most frequently used valid measurement scales, encouraging standardization. This enables researchers to select measurement scales that improve comparability across studies
Effect sizes	Effect sizes differ across PPM model studies with no benchmark for comparison	The meta-analytical review provides a benchmark for effect sizes. This allows researchers to identify anomalous results and ensure appropriate sample sizes in their study designs
Effect directions	Effect directions differ across PPM model studies with no benchmark for comparison	This meta-analytical review provides a benchmark for effect directions. This enables researchers to identify anomalous results
Variance explained	Variance explained differs across PPM model studies with no benchmark for comparison	This meta-analytical review provides a benchmark for variance explained. This enables researchers to identify anomalous results
Moderators	Individual level moderators are investigated	This meta-analytical review provides insights into study level moderators. This provides researchers with a further explanation for differences in effect sizes

Source(s): Author’s own work