Unidimensionality and interpretability of psychological instruments

By J. Gustafsson, L. Åberg-Bengtsson. 2009

118 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5f085eccd80f6077e28b0004c551f852a9d6595d

How researchers see this paper

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

In Artificial Intelligence

1. Frank Fischer
2. Mark G. Haviland
3. Wes Bonifay
4. S. Reise

In Experimental and Cognitive Psychology

1. Wes Bonifay
2. S. Reise
3. Mark G. Haviland
4. Tyler M. Moore
5. Anthony Rodriguez
6. Frank Fischer
7. Moritz Heene
8. K. Neff

In Statistics and Probability

1. Frank Fischer
2. Tyler M. Moore
3. Mark G. Haviland
4. Wes Bonifay
5. S. Reise

Citations in the corpus

• Bifactor Models and Rotations: Exploring the Extent to which Multidimensional Data Yield Univocal Scale Scores (2010, background): “, item variance explained by a weighted combination of primary traits as opposed to item variance explained by a general factor and group factors), Gustafsson and Balke (1993) argued that the differences between second-order and bifactor models rest more in appearance than in substance.”
• Scoring and Modeling Psychological Measures in the Presence of Multidimensionality (2013, background): “Second, omegaH tends to increase with test length (see Gustafsson & Aberg-Bengtsson, 2010) and is influenced by the specific structure of multidimensionality (Reise, Scheines, Widaman, & Haviland, 2012).”
• Applying Bifactor Statistical Indices in the Evaluation of Psychological Measures (2016, background): “…confirmatory factor-analytic researchers use to warn of the multidimensional nature of a given scale and the corresponding requirement to only interpret subscale scores. more the total score reflects that common latent variable, regardless of the dimensionality (Gustafsson & Aberg-Bengtsson, 2010).”
• The Rediscovery of Bifactor Measurement Models (2012, background): “…resolving important problems in conceptualizing and measuring psychological constructs (Brunner, Nagy, & Wilhelm, 2012; Cai, Yang, & Hansen, 2011; Chen, Hayes, Carver, Laurenceau, & Zhang, 2012; Gustafsson & Aberg-Bengtsson, 2010; Reise et al., 2010; Reise, Morizot, & Hays, 2007; Thomas, 2012); 3.”
• Measuring scientific reasoning – a review of test instruments (2017, background): “Just be aware of the possibility that the test score is not only a measure of the one aspect of scientific reasoning you were interested in but that it might also be confounded with a general scientific reasoning factor (Gustafsson & Åberg-Bengtsson, 2010).”