Measurement invariance tests of revisions to archaically worded items in the Mach IV scale

Autor: Kay M. Nicols, Brian K. Miller, Robert Konopaske
Rok vydání: 2019
Předmět:
Male
Psychometrics
Economics
Social Sciences
050109 social psychology
Mathematical and Statistical Techniques
Statistics
Psychology
Equivalence (measure theory)
Mathematics
Language
Principal Component Analysis
Multidisciplinary
Covariance
05 social sciences
Confirmatory factor analysis
Exploratory factor analysis
Physical Sciences
Medicine
Female
Factor Analysis
Research Article
Personality
Adult
Employment
Adolescent
Sample (material)
Science
Research and Analysis Methods
Skewness
050105 experimental psychology
Young Adult
Humans
Machiavellianism
0501 psychology and cognitive sciences
Measurement invariance
Statistical Methods
Statistical hypothesis testing
Factor analysis
Cognitive Psychology
Biology and Life Sciences
Random Variables
Models
Theoretical
Probability Theory
Probability Distribution
Labor Economics
Multivariate Analysis
Cognitive Science
Factor Analysis
Statistical
Neuroscience
Zdroj: PLoS ONE
PLoS ONE, Vol 14, Iss 10, p e0223504 (2019)
ISSN: 1932-6203
Popis: The Machiavellian IV [1] instrument, developed almost 50 years ago to measure trait Machiavellianism and still in wide use in personality research, uses item wording that is not gender-neutral, makes use of idiomatic expressions, and includes archaic references. In this two-sample study, exploratory factor analysis (EFA) was conducted on one sample to examine the structure of responses to the Mach IV. In an independent second sample the resulting EFA structure was analyzed using confirmatory factor analysis-based measurement equivalence/invariance (ME/I) tests in a control group with the original archaic items and a treatment group with eight items rewritten in a more modern vernacular. Specific model testing steps [2] and statistical tests [3] were applied in a bottom-up approach [4] to ME/I tests on these two versions of the Mach IV. The two versions were found to have equal form, equal factor loadings, but unequal indicator error variances. Subsequent item-by-item tests of error invariance resulted in substantial decrements to fit for three revised items suggesting that the error associated with these items was not equal across the two versions.
Databáze: OpenAIRE
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