Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques

By Scott B. MacKenzie, Philip M. Podsakoff, Nathan P. Podsakoff. MIS Q., 2011

3,144 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/2883cd8623b725c95b3cc3af31aadd25358a4da8

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Citations in the corpus

Seeing brands as humans: Development and validation of a brand anthropomorphism scale (2020, methodology): “The AVEs for each construct were well above the required threshold of .50, demonstrating that a large amount of variance was captured by each construct, rather than being due to a measurement error.”
Strategic CSR: A Concept Building Meta‐Analysis (2019, neutral): “This is a legitimate concern for empirical research indeed, as has previously been explained in the literature (Mackenzie, 2003; Mackenzie et al., 2011) and which has also been acknowledged by Goertz (2009, p.”
Does entrepreneurship education and culture promote students’ entrepreneurial intention? The mediating role of entrepreneurial mindset (2021, methodology): “For entrepreneurial culture (EC), we adapted 19 indicators from MacKenzie et al. (2011); Ireland et al. (2009).”
Moving from Marketization to Marketing of Higher Education: The Co-Creation of Value in Higher Education. (2014, background): “Mackenzie et al. (2011) provide a scale development procedure that builds upon the weight of the evidence in the literature to that point.”
Predicting behavioral loyalty through corporate social responsibility: The mediating role of involvement and commitment (2017, positive): “As shown in Table 2, all constructs exceeded the recommended level of 0.70 for CR and 0.50 for AVE, demonstrating adequate reliability and convergent validity (Fornell & Larcker, 1981; MacKenzie et al., 2011).”
Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, positive): “Next, to evaluate the validity of the items of formative constructs, we followed MacKenzie, Podsakoff, and Podsakoff (2011) guidelines using Edwards (2001) adequacy coefficient (R 2a ).”
Psychological Ownership Motivation and Use of Social Media (2015, positive): “Our scale development followed a multistage iterative procedure (e.g., Churchill, 1979; MacKenzie, Podsakoff, and Podsakoff, 2011; Netemeyer, Bearden, and Sharma, 2003).”
Leveraging Information Technology Infrastructure to Facilitate a Firm's Customer Agility and Competitive Activity: An Empirical Investigation (2012, methodology): “Standard scale development procedures [54] were used for new measures and those that required significant changes (see appendix a).”
Pro-Environmental Behaviours and Value-Belief-Norm Theory: Assessing Unobserved Heterogeneity of Two Ethnic Groups (2019, background): “689, and all VIFs were lower than 5 for both groups, indicating the satisfactory convergent validity of the formative measurement model [78,82].”
Reconceptualizing entrepreneurial orientation (2015, methodology): “Notably, this measurement model is empirically equivalent to a MIMIC model (Multiple Indicators, Multiple Causes; see MacKenzie et al., 2011).”
How Do Employees Perceive Corporate Responsibility? Development and Validation of a Multidimensional Corporate Stakeholder Responsibility Scale (2018, background): “1 However, the average loading met and exceeded this cutoff, so the indicators shared approximately 50% of their variance with the higher-order factor (Johnson, Rosen, & Chang, 2011; MacKenzie et al., 2011).”
Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020, methodology): “Next, to evaluate the validity of the items of formative constructs, we followed MacKenzie et al. [137] and Schmiedel et al. [138] guidelines using Edwards [139] adequacy coefficient (R 2 a).”
Impact of individual coping strategies and organisational work–life balance programmes on Australian employee well-being (2016, methodology): “However, it is widely known that the number of measures (indicators) directly affects the measure of internal consistency (MacKenzie et al., 2011).”