Challenges and Solutions in Integrative Model Development: An Overview of Methodologies and the Contribution of PRISMA-S
Existing psychological models often focus narrowly on individual mechanisms, such as motivation and cognition, or broader societal factors, such as culture and ideology, without integrating these perspectives. My PhD project seeks to address this gap by developing a comprehensive model of pro-environmental behavior using Doise’s (1982) levels of analysis. This approach combines internal psychological processes with social and cultural factors to better predict behavior.
Key challenges include identifying relevant models, isolating variables, integrating them, and ensuring robust statistical power. In this communication, we evaluate the strengths and limitations of various review methodologies, such as rapid reviews, systematic reviews, umbrella reviews, and scoping reviews (e.g., Grant et al., 2009). We highlight the PRISMA-S method (Rethlefsen et al., 2021), which ensures transparent and rigorous reporting of article selection. Finally, we explore data extraction and its application through structural equation modeling (e.g., Dash & Paul, 2021) to synthesize variables.