Can i use individual items, each measured on Likert 5 point scale, and which are a part of a formative construct to do One way ANOVA? Please give appropriate reference for the same.
Using individual items measured on a Likert 5-point scale for a One-way ANOVA can be tricky, especially if these items are meant to be part of a formative construct. One-way ANOVA is typically used to compare means between two or more independent groups on a single continuous dependent variable. However, with Likert scale items, you're dealing with ordinal data rather than continuous data, and the assumptions of ANOVA might not hold.
Using individual items measured on a Likert 5-point scale as part of a formative construct in a One-Way ANOVA can be problematic. Let's break down why:
Formative vs. Reflective Constructs: In social science research, constructs can be either formative or reflective. Reflective constructs imply that the items are indicators of an underlying latent variable, meaning that changes in the items correlate with changes in the construct. Formative constructs, on the other hand, suggest that the items define the construct; changes in the construct cause changes in the items. Using One-Way ANOVA assumes reflective constructs, where the items measure a common underlying construct. If your construct is formative, ANOVA might not be appropriate.
Assumption of Homogeneity of Variance: One-Way ANOVA assumes homogeneity of variance, meaning that the variance within each group being compared is roughly equal. This assumption might not hold for Likert scale items, especially if the variance differs between items. For formative constructs, the items may represent different facets of the construct, leading to different variances among them.
ANOVA might not capture the underlying structure of your construct adequately.
Formative constructs are different from reflective constructs, where items are indicators of an underlying latent variable. In reflective constructs, items are interchangeable, and the focus is on the shared variance among the items. On the other hand, in formative constructs, each item contributes uniquely to the overall construct, and the focus is on the variability in the composition of the items.
For formative constructs, a better approach might be to use techniques such as principal component analysis (PCA) or partial least squares structural equation modeling (PLS-SEM) to analyze the relationships between the items and the construct.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Diamantopoulos, A., & Winklhofer, H. M. (2001). Index construction with formative indicators: An alternative to scale development. Journal of Marketing Research, 38(2), 269-277.