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Peer reviewedAndrich, David; Luo, Guanzhong – Journal of Applied Measurement, 2003
Developed a method for conditional pairwise estimation in the Rasch model for ordered response categories using principal components analysis and evaluated the procedure through a simulation study. Results show that the quality of the estimates is excellent. (SLD)
Descriptors: Estimation (Mathematics), Factor Analysis, Item Response Theory, Simulation
Peer reviewedLevin, Richard – Omega: Journal of Death and Dying, 1990
Administered Death Anxiety Scale (DAS) and Minnesota Multiphasic Personality Inventory (MMPI) to 105 individuals. Factor analysis of DAS revealed general factor accounting for 29 percent of extracted variance. First-order factors were also important in factor solution. Pattern of MMPI-DAS correlation suggests that confounding of factors greatly…
Descriptors: Anxiety, Death, Factor Analysis, Foreign Countries
Peer reviewedKiers, Henk A. L.; ten Berge, Jos M. F. – Psychometrika, 1989
Two alternating least squares algorithms are presented for the simultaneous components analysis method of R. E. Millsap and W. Meredith (1988). These methods, one for small data sets and one for large data sets, can indicate whether or not a global optimum for the problem has been attained. (SLD)
Descriptors: Algorithms, Factor Analysis, Least Squares Statistics, Statistical Analysis
Peer reviewedKaplan, David – Educational and Psychological Measurement, 1989
The power of the likelihood ratio test in multiple group confirmatory factor analysis under partial measurement invariance was studied in a population study with a six-variable, two-factor model where a specification error existed for one group. Results are discussed in terms of strategies of multiple group modeling. (SLD)
Descriptors: Factor Analysis, Groups, Mathematical Models, Measurement
Peer reviewedvan der Heijden, Peter G. M.; Worsley, Keith J. – Psychometrika, 1988
With reference to the authors' previous paper (1985), it is proposed that loglinear analysis can be used to detect interactions in a multiway contingency table and explore the form of these interactions with correspondence analysis. Correspondence analysis assists in finding a model with restrictions on the interaction parameters. (TJH)
Descriptors: Factor Analysis, Mathematical Models, Research Methodology, Set Theory
Peer reviewedKeith, Timothy Z.; And Others – Journal of School Psychology, 1988
Studied whether Stanford-Binet Intelligence Scale: Fourth Edition corresponds to theory that guided its construction, using first-order confirmatory factor analysis with entire standardization sample and three age groups. Results generally support the four factors as reflecting the underlying structure of the new Binet, but were less supportive of…
Descriptors: Factor Analysis, Intelligence Tests, Test Theory, Test Validity
Peer reviewedvan Schuur, Wijbrandt H.; Kiers, Henk A. L. – Applied Psychological Measurement, 1994
The identification of two factors when one factor is expected is an artifact caused by using factor analysis on data that would be more appropriately analyzed with a unidimensional unfolding model. A numerical illustration is given, and ways to determine whether data conform to the unidimensional unfolding model are reviewed. (SLD)
Descriptors: Factor Analysis, Factor Structure, Matrices, Models
Peer reviewedKiers, Henk A. L. – Psychometrika, 1994
A class of oblique rotation procedures is proposed to rotate a pattern matrix so that it optimally resembles a matrix that has an exact simple pattern. It is demonstrated that the method can recover relatively complex simple structures where other simple structure rotation techniques fail. (SLD)
Descriptors: Algorithms, Factor Analysis, Factor Structure, Matrices
Peer reviewedComrey, Andrew L. – Journal of Career Assessment, 1995
Comrey Personality Scales (CPS) produce Factored Homogeneous Item Dimension scores for eight factors: trust/defensiveness; orderliness/lack of compulsion, social conformity/rebelliousness, activity/lack of energy, emotional stability/neuroticism, extraversion/introversion, mental toughness/sensitivity, and empathy/egocentrism. The CPS include…
Descriptors: Factor Analysis, Personality Assessment, Personality Measures, Psychological Patterns
Peer reviewedCarver, Ronald P. – Journal of Reading Behavior, 1992
Reanalyzes data collected in a 1990 study on factors in reading ability to see whether the three individual difference factors advanced in rauding theory were also detectable in the data from the earlier study. Finds support for the three rauding ability factors. (SR)
Descriptors: Factor Analysis, Individual Differences, Reading Ability, Reading Research
Peer reviewedNewman, Jody L.; Gray, Elizabeth A.; Fuqua, Dale R. – Journal of Vocational Behavior, 1999
My Vocational Situation, Career Decision Scale, and California Psychological Inventory (CPI) were completed by 149 students. Factor analysis reduced 20 CPI scales to Extraversion, Control, Flexibility, and Consensuality. Consensuality significantly distinguished high and low career indecision. Extraversion and Control had low to moderate…
Descriptors: Career Choice, Decision Making, Factor Analysis, Personality Traits
Peer reviewedFisher, Teresa A.; Stafford, Mary E. – Journal of Career Assessment, 1999
Exploratory factor analysis of data from 564 people identified constructs for the Career Influence Inventory: parent/teacher/friend influence, high school academic experience, negative social events, self-efficacy, and ethnic-gender expectations. Negative social events proved to be an emerging construct for understanding career development and…
Descriptors: Career Development, Career Planning, Factor Analysis, Reliability
Peer reviewedFisher, Philip A.; Leve, Craig S.; Fagot, Beverly I. – Family Relations, 1998
Family stress is examined across normative, moderate-risk, and high-risk samples with particular focus on the development of scales measuring components of stress from a single "daily hassles" questionnaire. A three-factor model, including interpersonal tension, financial problems, and child-related difficulties, was developed using confirmatory…
Descriptors: Factor Analysis, Factor Structure, Family Characteristics, Stress Variables
Peer reviewedTataryn, Douglas J.; Wood, James M.; Gorsuch, Richard L. – Educational and Psychological Measurement, 1999
Examined the optimal value of "k" for promax factor rotations through a Monte Carlo study involving 10,080 factor analyses. Results show that in factor-analytic studies using promax, the value of "k" may be set appropriately at 2, 3, or 4. (Author/SLD)
Descriptors: Factor Analysis, Factor Structure, Monte Carlo Methods, Simulation
Peer reviewedMcCarthy, Christopher J.; Seraphine, Anne E.; Matheny, Kenneth B.; Curlette, William L. – Measurement and Evaluation in Counseling and Development, 2000
Using middle school students (N=1,454), examines the factor structure of the Coping Resources Inventory Scale for Educational Enhancement (CRISEE), an instrument designed to measure coping resources in youth. Results provide evidence that the CRISEE may be a reliable measure of dimensionally distinct types of coping resources. (Author/MKA)
Descriptors: Coping, Factor Analysis, Measures (Individuals), Middle School Students


