title: Models for the Detection of Deviations from the Expected Processing Strategy in Completing the Items of Cognitive Measures.
abstract: This paper presents confirmatory factor models with fixed factor loadings that enable the identification of deviations from the expected processing strategy. The instructions usually define the expected processing strategy to a considerable degree. Simplification is a deviation from instructions that is likely to occur in complex cognitive measures. Since simplification impairs the validity of the measure, its identification is important. Models representing simplicity and instruction-based processing strategies were considered in investigating the data of 345 participants obtained by a working memory measure in order to find out whether and how the use of these strategies influences model-data fit. As expected, the consideration of simplicity strategies improved the model-data fit achieved for the instruction-based strategy.
authors.affiliation: a Department of Psychology , Goethe University Frankfurt.
authors.forename: Karl
authors.initials: K
authors.lastname: Schweizer
authors.affiliation: a Department of Psychology , Goethe University Frankfurt.
authors.forename: Michael
authors.initials: M
authors.lastname: Altmeyer
authors.affiliation: a Department of Psychology , Goethe University Frankfurt.
authors.forename: Xuezhu
authors.initials: X
authors.lastname: Ren
authors.affiliation: b Department of Psychology , Goethe University Frankfurt ; Institute of Psychology, Heidelberg University of Education.
authors.forename: Michael
authors.initials: M
authors.lastname: Schreiner
mesh_terms: D035841:Behavioral Research / Q000379:methods*; D003071:Cognition; D003627:Data Interpretation, Statistical; D006801:Humans; D008570:Memory, Short-Term; D015233:Models, Statistical; D011594:Psychometrics / Q000379:methods*
keywords: confirmatory models; fixed-links models; processing strategies; structural equation modeling; working memory