Psychometric Tool Development Steps

Ishita, a Psychometrician, followed a rigorous process to develop a tool for pro-environmental behaviour. Key steps included item generation, item-total correlation analysis, internal consistency checks, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA).

March 2022: Exploratory Factor Analysis

In March 2022, Ishita performed exploratory factor analysis (EFA). This statistical technique is used to identify underlying dimensions or latent variables within a set of observed variables (items). By performing EFA and subsequently naming the five extracted dimensions, Ishita was examining the internal structure of her measurement tool.

Construct Validity Through Factor Analysis

The process of identifying and defining the underlying dimensions of a construct is central to establishing its construct validity. Construct validity refers to the extent to which a measure accurately reflects the theoretical construct it is intended to measure. EFA and CFA are standard methods employed to assess and confirm construct validity.

• Content Validity: Focuses on whether the items adequately cover the entire domain of the construct.
• Construct Validity: Assesses if the measure truly represents the theoretical construct. EFA and CFA are key tools for this.
• Concurrent Validity: Checks the correlation of the measure with other established measures of the same construct taken at the same time.
• Predictive Validity: Examines how well the measure predicts future outcomes or behaviours.

Established Validity in March 2022

Given that Ishita used exploratory factor analysis in March 2022 to extract and name dimensions, this directly addresses the underlying structure and meaning of the construct being measured. Therefore, the type of validity established at this stage is Construct Validity.