reply positively with followup: Exploratory factor analysis (EFA) and internal consistency reliability are essential tools for evaluating the structural validity of employee surveys, particularly those measuring constructs such as engagement, motivation, or organizational commitment. After reviewing the Employee Engagement Survey results, several items appear problematic based on their low factor loadings, cross-loadings, and weak alpha-if-deleted statistics. As a result, I would recommend dropping Items 4, 9, and 13 from the survey. Item 4 shows a factor loading below .40, which is generally considered too weak to meaningfully represent the underlying construct (Cohen, 2021). Low loadings suggest the item is not measuring the same latent dimension as the other items. Item 9 displays cross-loading across two factors. Cross-loading weakens construct clarity and introduces ambiguity, making interpretation more difficult (Shuck et al., 2017). Item 13 shows a negative item-to-total correlation and decreases Cronbach's alpha when included. According to Cortina (1993), such items may introduce error variance and threaten the internal consistency of the scale. A key concern in interpretation is the inherent subjectivity involved in determining cutoff thresholds. For example, while .40 is a common loading benchmark, some scholars accept slightly lower values in early development phases (Henson & Roberts, 2006). Another challenge is ensuring that item removal does not compromise the