Item factor analysis: current approaches and future directions.

By R. Wirth, M. C. Edwards, Lili Cai, R. Maccallum, Darcy Mcmullin, Kristopher J Preacher. Psychological methods, 2007

852 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e0b45222989f581d0fe6e9d8e772ba2fd146aa64

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Citations in the corpus

Developing Multidimensional Likert Scales Using Item Factor Analysis (2016, background): “Fortunately, item factor analysis (IFA) provides an alternative that avoids these problems (Wirth and Edwards 2007) because it addresses and recognizes the ordinal nature of observed variables.”
Integrative Data Analysis: The Simultaneous Analysis of Multiple Data Sets (2009, methodology): “…is a vast literature dedicated to both the NLFA and IRT models; a thorough review of more general issues in nonlinear measurement models is given in Wirth and Edwards (2007), and we have discussed these issues as they relate to applications within IDA in Bauer and Hussong (this issue) and Curran…”
Bifactor Models and Rotations: Exploring the Extent to which Multidimensional Data Yield Univocal Scale Scores (2010, methodology): “Instead, special estimation procedures are required ( Wirth & Edwards, 2007 ).”
Using Exploratory Factor Analysis to Determine the Dimensionality of Discrete Responses (2015, background): “Wirth and Edwards (2007) reviewed methods that take the discrete nature of test items into account, one of which is weighted least squares (WLS; Browne, 1982, 1984) factor analysis of polychoric correlations.”
The Rediscovery of Bifactor Measurement Models (2012, methodology): “One approach to implementing this model simply is to replace Pearson correlations with tetrachoric or polychoric correlations and then conduct a limitedinformation factor analysis (e.g., weighted least squares; see Wirth & Edwards, 2007).”
Practical Guide to Conducting an Item Response Theory Analysis (2014, methodology): “However, if there appears to be a violation from the assumption of unidimensionality, then the use of an exploratory or confirmatory multi-dimensional IRT (MIRT) model may be warranted (De Ayala, 2009; Wirth & Edwards, 2007).”
Local Dependence Diagnostics in IRT Modeling of Binary Data (2013, positive): “…ð26Þ These parameters correspond to the following factor loading (λ) and threshold (t) values on a normal ogive scale (Forero & Maydeu-Olivares, 2009; Wirth & Edwards, 2007): λ = (0:6, 0:7, 0:8, 0:6, 0:7, 0:8, 0:6, 0:7, 0:8, 0:6)0, ð27Þ t = (0, 0:5, 1, 0:5, 0, 1, 0, 0:5, 0, 1)0: ð28Þ The second…”
Metropolis-Hastings Robbins-Monro Algorithm for Confirmatory Item Factor Analysis (2010, methodology): “If the latent variables are believed to be continuous, a statistical model that is often applied in psychometric data analysis is item factor analysis (IFA; Bock, Gibbons, & Muraki, 1988; Meng & Schilling, 1996; Mislevy, 1986; Schilling & Bock, 2005; Wirth & Edwards, 2007).”
Handbook of Item Response Theory Modeling : Applications to Typical Performance Assessment (2014, background): “They certainly may be, when conditions are appropriate (see, e.g., Wirth & Edwards, 2007), and for a long time, limited-information methods provided the only practically viable means for conducting formal model appraisal; although on that latter point, the situation has changed dramatically in the…”
Are Robust Standard Errors the Best Approach for Interval Estimation With Nonnormal Data in Structural Equation Modeling? (2018, methodology): “Although wemight explicitly model the items as categorical (e.g., Muthén, 1978, 1984; Wirth & Edwards, 2007), robust ML is sometimes preferred for items with at least five categories and at small sample sizes (Rhemtulla et al., 2012).”
“My Questionnaire is Too Long!” The assessments of motivational-affective constructs with three-item and single-item measures (2014, methodology): “In other circumstances, more sophisticated methods that best fit the distributional properties of the measures under inves tigation should be chosen (see, e.g., the methods discussed by Rhemtulla et al. (2012) or Wirth and Edwards (2007)).”
The Transportation Scale–Short Form (TS–SF) (2015, methodology): “The factor structure of the TS was analyzed with a limited-information factor analysis for ordinal item responses (cf. R. J. Wirth & Edwards, 2007).”
Not Positive Definite Correlation Matrices in Exploratory Item Factor Analysis: Causes, Consequences and a Proposed Solution (2021, methodology): “Its main alternative are the full-information methods, that use the raw data directly in parameter estimation, and so, avoid the intermediary step of obtaining the inter-item polychoric matrix (e.g. Wirth & Edwards, 2007).”