Researchers ensured validity and dependability in a quantitative study on loyalty programs and repeat purchase behavior through rigorous methods. They used a self-administered questionnaire adapted from validated studies to support content validity. Structural Equation Modelling (SEM) with IBM Amos 22 established construct validity by analyzing the relationships between latent constructs and observed data. SPSS 22 was used for descriptive statistics, ensuring internal consistency and reliability through Cronbach's alpha, with a sample size of 263 participants providing adequate statistical power.
In a mixed methods study on media usage and political participation, triangulation through questionnaires and semi-structured interviews enhanced validity by cross-verifying data sources. Purposive and stratified random sampling were employed to deepen insight and enhance external validity. Thematic analysis of qualitative data through systematic coding and theme development further reinforced reliability. Overall, these methods demonstrate the researchers' commitment to ensuring the validity and dependability of their findings in both qualitative and quantitative paradigms.