While factor analysis is the lost ' comaoilly proposed procedure for determining dimensionality, a recently defeloped procedure called order analysis may also prove to be useful for isolating unidimensional item sets. The first study in this report compares three order analyiis procedures: Krus and Bart's (1974) procedure and Reynolds ' (1976) procedures using,two of Cliff's (1977) consistency indices. The compariscins were based on seven simulated data sets with known factorial diaensionality, and two multidimensional sets of mathematics data.:The second ' Aeyno4.ds procedure reproduced the factor structure for the simulated data zeta, but none of the procedures-could reproduce the factors for the mathematics data....
Ph.D.PsychologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.l...
A monte carlo investigation of three approaches to assessing the dimensionality of binary items use...
This thesis is concerned with two critical issues facing the testing industry today: dimensionality ...
The isolation of dimensions from a data matrix has been traditionally formulated in terms of an alg...
184 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1981.Current latent-trait methods ...
Previous research has not shown a clear relationship between order analytic and factor analytic app...
The effectiveness of multidimensional scaling (MDS) techniques in recovering the underlying dimensio...
Parallel analysis (PA) is an often-recommended approach for assessment of the dimensionality of a va...
Most tasks used to gather information for multidimensional scaling analysis are quite difficult for...
This study was undertaken to compare non-metric multidimensional scaling (MDS) and factor analysis (...
Factor Analysis (FA) is a multivariate statistical technique that is often used to create new variab...
Often in practice of solving economic problems there is a need to analyse objects with properties th...
<div><p>The analysis of polychoric correlations via principal component analysis and exploratory fac...
<div><p>This paper undertakes a systematic assessment of the extent to which factor analysis the cor...
Mokken scale analysis can be used for scaling under nonparametric item response theory models. The r...
Ph.D.PsychologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.l...
A monte carlo investigation of three approaches to assessing the dimensionality of binary items use...
This thesis is concerned with two critical issues facing the testing industry today: dimensionality ...
The isolation of dimensions from a data matrix has been traditionally formulated in terms of an alg...
184 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1981.Current latent-trait methods ...
Previous research has not shown a clear relationship between order analytic and factor analytic app...
The effectiveness of multidimensional scaling (MDS) techniques in recovering the underlying dimensio...
Parallel analysis (PA) is an often-recommended approach for assessment of the dimensionality of a va...
Most tasks used to gather information for multidimensional scaling analysis are quite difficult for...
This study was undertaken to compare non-metric multidimensional scaling (MDS) and factor analysis (...
Factor Analysis (FA) is a multivariate statistical technique that is often used to create new variab...
Often in practice of solving economic problems there is a need to analyse objects with properties th...
<div><p>The analysis of polychoric correlations via principal component analysis and exploratory fac...
<div><p>This paper undertakes a systematic assessment of the extent to which factor analysis the cor...
Mokken scale analysis can be used for scaling under nonparametric item response theory models. The r...
Ph.D.PsychologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.l...
A monte carlo investigation of three approaches to assessing the dimensionality of binary items use...
This thesis is concerned with two critical issues facing the testing industry today: dimensionality ...