Refining Lodahl and Kejner’s Job Involvement Scale with a Convergent Evidence Approach: Applying Multiple Methods to Multiple Samples

Abstract

Lodahl and Kejner’s Job Involvement (JI) measure has been and continues to be heavily used despite known measurement deficiencies. Using a convergent evidence approach, the authors examine the psychometric properties of that scale and offer a refined version that accurately taps the JI construct. Based on a combination of five methodologies (qualitative content analysis, classical item analyses, item response theory analyses, partial confirmatory factor analyses, and discriminant validity analysis) applied to five samples, results indicate that numerous items function inadequately as indicators of JI, whereas a core of items have superior item statistics and conceptually match the definition of JI. The advantages of using a convergent evidence approach are discussed.