Measurement invariance: Review of practice and implications
By Neal Schmitt, G. Kuljanin. 2008
736 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Organizational Behavior and Human Resource Management, Social Psychology
View Paper: https://www.semanticscholar.org/paper/b3431bc811b14fd1f5188d5108b13ba86d08ce0e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Gordon W. Cheung
- Rex Bryan Kline
- Marc H. Bornstein
- Robert J. Vandenberg
- D. Putnick
- Rebecca S. Lau
- Myeongsun Yoon
- Herman Aguinis
In Organizational Behavior and Human Resource Management
- Thomas W. H. Ng
- D. Feldman
- Robert J. Vandenberg
- Rex Bryan Kline
- Lawrence J. Williams
- Gordon W. Cheung
- Herman Aguinis
- J. Edwards
In Social Psychology
- Thomas W. H. Ng
- D. Feldman
- M. Gunkel
- Jamin Halberstadt
- J. Jong
- Marcello Russo
- Filomena Buonocore
- Liang Guo
Citations in the corpus
- Assessing statistical aspects of test fairness with structural equation modelling (2013, methodology): “Hierarchy of invariance hypotheses in confirmatory factor analysis The basic logic of testing for measurement invariance when applying CFA over multiple samples is outlined next; see Brown (2006, Chapter 8), Cheung and Rensvold (2002), or Schmitt and Kuljanin (2008) for more information.”
- Best-Practice Recommendations for Producers, Evaluators, and Users of Methodological Literature Reviews (2020, methodology): “…and Lance’s article was published over 20 years ago and before recent methodological advancements, such as the use of Bayesian methods to assess measurement invariance (Kim et al., 2017), or more recent reviews of measurement invariance (e.g., Putnick & Bornstein, 2016; Schmitt & Kuljanin, 2008).”
- Fear of Death and Supernatural Beliefs: Developing A New Supernatural Belief Scale to Test the Relationship (2013, methodology): “To cross-validate M57 across the two independent samples, we examined measurement invariance between them (Byrne, 2004; Reise, Widaman, & Pugh, 1993; Schmitt & Kuljanin, 2008; Vandenberg & Lance, 2000), which was established by a series of increasingly restrictive, nested models via multi-group…”
- Culture's Influence on Emotional Intelligence: An Empirical Study of Nine Countries (2014, background): “While EI is clearly a topic of international interest (Schulze and Roberts, 2005), this lack of knowledge on cultural impacts on EI has been identified in the literature (e.g., Antonakis, 2003, 2004; Prati et al., 2003; Salovey, 2005) as an area which needs to be addressed.”
- Development and Validation of the Brief Adolescents’ Subjective Well-Being in School Scale (BASWBSS) (2014, neutral): “conclusion is that measures are invariant and no further tests are employed (Schmitt and Kuljanin 2008; Vandenberg and Lance 2000).”
- When Family Supportive Supervisors Meet Employees’ Need for Caring: Implications for Work–Family Enrichment and Thriving (2018, background): “Schmitt and Kuljanin (2008) noted that large samples and complex models are highly susceptible to significant changes in the chi-square value.”
- Destination Image and Behavior Intention of Travelers to Thailand: the Moderating Effect of Perceived Risk (2013, methodology): “These two tests are commonly used in research practices (Schmitt & Kuljanin, 2008).”
- Testing Factorial Invariance in Multilevel Data: A Monte Carlo Study (2012, background): “Schmitt and Kuljanin (2008) reviewed the measurement invariance literature and reported increasing interest in and common practices of measurement invariance testing, which suggests that measurement invariance is understood as a prerequisite in the use of a measure among social scientists.”
- 12 Structural Equation Modeling in Management Research: A Guide for Improved Analysis (2009, methodology): “As noted by Vandenberg and Lance (2000), and recently reinforced by Schmitt and Kuljanin (2008), and Thompson and Green (2006), additional steps beyond the normal ones involved with SEM (e.”
- A Direct Comparison Approach for Testing Measurement Invariance (2012, background): “…rater groups, and modes of measurement administration, such as Web-based versus paper-and-pencil measures, or they may consist of the same individuals measured at different points in time (i.e., stability of measurement over time; see Schmitt and Kuljanin, 2008, for a review of empirical studies).”
- Cross-Cultural Validation of Fear of Happiness Scale Across 14 National Groups (2014, background): “When the instrument is translated into several languages, full measurement invariance is unlikely (Schmitt & Kuljanin, 2008; Lvina et al., 2012).”
- Testing an integrated destination image model across residents and tourists (2017, methodology): “In cases where full measurement invariance is unattainable, researchers recommend proceeding with the evaluation of partial measurement invariance (Byrne, Shavelson, & Muth en, 1989; Schmitt & Kuljanin, 2008).”
- Measurement Invariance Conventions and Reporting: The State of the Art and Future Directions for Psychological Research (2016, background): “Schmitt and Kuljanin (2008) identified 75 articles about measurement invariance over a 8-year period from 2000-2007 (9.38 articles per year), and Johnson et al. (2009) reviewed a 3-year period from 2005-2007 and uncovered 153 articles on measurement invariance (51 articles per year).”