Using summated scale scores to make group comparisons is only meaningful if one can assume that the scale measures the same attribute in the same way in each of the groups involved in the comparison. This assumption is called measurement invariance. This contribution discusses the use of modern statistical measurement models to test this assumption and to verify the consequences of a possible violation for the comparison of group means. In the empirical part of the contribution we the authors illustrate our their account by examining whether a scale assessing avoidance behavior – commonly used in fear of crime research - – is invariant across gender and age groups.status: publishe
The Abbreviated Math Anxiety Scale (AMAS) is commonly used to compare groups on math anxiety. Group ...
Though widely used, confirmatory factor analysis tests of measurement invariance are not well unders...
Psychological health researchers often explore population heterogeneity regarding unobservable laten...
Researchers often compare groups of individuals on psychological variables. When comparing groups an...
The measurement of psychological constructs like mathematical ability or social anxiety is at the he...
Probably the most ignored assumption in the social and behavioral sciences is the assumption that me...
Methods of assessing measurement invariance can be time consuming and laborious. In this study, we s...
In most assessment instruments, distinct items are designed to measure a trait, and the sum score of...
A method of preventing flawed between-group comparisons is to test for measurement invariance (MI), ...
With the increasing availability of cross-national data, more attention has been given to the issue ...
This article shows that measurement invariance (defined in terms of an invariant measurement model i...
Existing procedures for testing measurement invariance focus mainly on group-level comparisons rathe...
Multi-item surveys are frequently used to study scores on latent factors, like human values, attitud...
Multi-item surveys are frequently used to study scores on latent factors, like human values, attitud...
This paper shows that measurement invariance (defined in terms of an invariant measurement model in ...
The Abbreviated Math Anxiety Scale (AMAS) is commonly used to compare groups on math anxiety. Group ...
Though widely used, confirmatory factor analysis tests of measurement invariance are not well unders...
Psychological health researchers often explore population heterogeneity regarding unobservable laten...
Researchers often compare groups of individuals on psychological variables. When comparing groups an...
The measurement of psychological constructs like mathematical ability or social anxiety is at the he...
Probably the most ignored assumption in the social and behavioral sciences is the assumption that me...
Methods of assessing measurement invariance can be time consuming and laborious. In this study, we s...
In most assessment instruments, distinct items are designed to measure a trait, and the sum score of...
A method of preventing flawed between-group comparisons is to test for measurement invariance (MI), ...
With the increasing availability of cross-national data, more attention has been given to the issue ...
This article shows that measurement invariance (defined in terms of an invariant measurement model i...
Existing procedures for testing measurement invariance focus mainly on group-level comparisons rathe...
Multi-item surveys are frequently used to study scores on latent factors, like human values, attitud...
Multi-item surveys are frequently used to study scores on latent factors, like human values, attitud...
This paper shows that measurement invariance (defined in terms of an invariant measurement model in ...
The Abbreviated Math Anxiety Scale (AMAS) is commonly used to compare groups on math anxiety. Group ...
Though widely used, confirmatory factor analysis tests of measurement invariance are not well unders...
Psychological health researchers often explore population heterogeneity regarding unobservable laten...