The empirical assessment of construct validity

By Scott W. O’Leary-Kelly, Robert J. Vokurka. 1998

Subfields: Statistics and Probability, Social Sciences & Humanities

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

In Social Sciences & Humanities

Citations in the corpus

AI and the Everything in the Whole Wide World Benchmark (2021, background): “In particular, construct validity is an external validity issue related to how well an experimental setting relates to a research claim, or, in the context of machine learning, how well the benchmark dataset, and associated metrics of evaluation, represents a task [O’Leary-Kelly and Vokurka, 1998].”
The impact of supply chain integration on performance: A contingency and configuration approach (2010, methodology): “Thus, the model was acceptable (Hu and Bentler, 1999), indicating convergent validity (O’Leary-Kelly and Vokurka, 1998).”
Personal commitment, support and progress in doctoral studies (2011, methodology): “Exploratory factor analysis (principal component analysis) with SPSS was used to operationalize as well as to assess the properties of the constructs (O’Leary‐Kelly and Vokurka 1998 ).”
The effects of supply chain integration on customer satisfaction and financial performance: An organizational learning perspective (2013, methodology): “We then conducted a pilot-test with two directors and one president in China to ensure that the questions were clear, meaningful, relevant and easy to interpret (O’Leary-Kelly and Vokurka, 1998).”
The Q-Sort Method: Assessing Reliability And Construct Validity Of Questionnaire Items At A Pre-Testing Stage (2002, background): “Empirical assessment of construct validity (O'Leary-Kelly and Vokurka, 1998) and scale development techniques (Hensley, 1999) are also gaining interest.”
Examining the effects of contextual factors on TQM and performance through the lens of organizational theories: An empirical study (2007, background): “70 indicate high construct reliability (O’Leary-Kelly and Vokurka, 1998).”