Comparison of Factor Structures for the Frostig Developmental Test of Visual Perception

1971 ◽  
Vol 33 (3) ◽  
pp. 1015-1019 ◽  
Author(s):  
Brad S. Chissom ◽  
Jerry R. Thomas
Keyword(s):  
Factor Structure ◽  
Common Factor ◽  
Second Grade ◽  
Single Factor ◽  
Analytic Procedure ◽  
Research Reporting ◽  
Factor Analytic ◽  
Developmental Test ◽  
Specific Factors ◽  
Components Analysis

The purpose was comparison of the factor structure of the Frostig DTVP based on current research reporting intercorrelations of scores on the 5 Frostig subtests. Ss in the 11 studies examined were children from preschool through the second grade. The intercorrelation matrices from the studies were analyzed using a principal components analysis with orthogonal rotation as a common factor analytic procedure. Results indicated a single-factor structure described the 5 Frostig subtests in 9 of the 11 studies examined with that single factor accounting for 50 to 60% of the total variation. It is possible that one or more additional specific factors may exist but the analyses in this study did not identify more than the single factor.

scholarly journals What is the p-factor of psychopathology? Some risks of general factor modeling

2017 ◽  
Vol 27 (6) ◽  
pp. 759-773 ◽  
Author(s):  
Riet van Bork ◽  
Sacha Epskamp ◽  
Mijke Rhemtulla ◽  
Denny Borsboom ◽  
Han L. J. van der Maas
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Common Factor ◽  
Psychological Disorders ◽  
General Factor ◽  
Personality Research ◽  
Factor Analytic ◽  
History Of ◽  
Factor Modeling ◽  
P Factor

Recent research has suggested that a range of psychological disorders may stem from a single underlying common factor, which has been dubbed the p-factor. This finding may spur a line of research in psychopathology very similar to the history of factor modeling in intelligence and, more recently, personality research, in which similar general factors have been proposed. We point out some of the risks of modeling and interpreting general factors, derived from the fields of intelligence and personality research. We argue that: (a) factor-analytic resolution, i.e., convergence of the literature on a particular factor structure, should not be expected in the presence of multiple highly similar models; and (b) the true underlying model may not be a factor model at all, because alternative explanations can account for the correlational structure of psychopathology.

A Common Factor Structure of Bender Gestalt Protocols of Young Children

1976 ◽  
Vol 42 (3_suppl) ◽  
pp. 1039-1048 ◽  
Author(s):  
Richard J. Hofmann
Keyword(s):  
Young Children ◽  
Factor Structure ◽  
Validation Study ◽  
Cross Validation ◽  
Common Factor ◽  
Common Factors ◽  
Factor Analytic ◽  
The Common ◽  
General Error

The common factor structure of the Bender is defined for 9-yr.-old children according to the Koppitz scoring procedure. Utilizing a new robust factor analytic interpretation strategy, it is demonstrated that the common factors correspond closely to the general error categories defined by Koppitz. A cross-validation study is suggested.

The Spanish Version of the Vividness of Visual Imagery Questionnaire: Factor Structure and Internal Consistency Reliability

2002 ◽  
Vol 90 (2) ◽  
pp. 503-506 ◽  
Author(s):  
Alfredo Campos ◽  
María Angeles González ◽  
Angeles Amor
Keyword(s):  
Factor Structure ◽  
Internal Consistency ◽  
Visual Imagery ◽  
Internal Consistency Reliability ◽  
Spanish Version ◽  
Single Factor ◽  
School Students ◽  
High Internal Consistency ◽  
Components Analysis ◽  
High Internal Consistency Reliability

We examined the factor structure and internal consistency reliability of the Spanish version of the Vividness of Visual Imagery Questionnaire which was applied to a sample of 850 secondary school students. Factor structure investigated by principal components analysis, followed by varimax orthogonal rotation, indicated that a single factor explained 37% of the variance. The internal consistency of the questionnaire was good (Cronbach α = 88) We conclude that the Spanish version of the questionnaire, like the English version, has a single factor and high internal consistency reliability.

Using the Depression, Anxiety, Stress Scales–21 With U.S. Adolescents: An Alternate Models Analysis

2016 ◽  
Vol 35 (6) ◽  
pp. 581-598 ◽  
Author(s):  
Stephanie A. Moore ◽  
Erin Dowdy ◽  
Michael J. Furlong
Keyword(s):  
Universal Screening ◽  
Common Factor ◽  
Negative Affectivity ◽  
The United States ◽  
Underlying Factor ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Specific Factors ◽  
Internalizing Distress ◽  
Best Fit

As part of universal screening efforts in schools, validated measures that identify internalizing distress are needed. One promising available measure, the Depression, Anxiety, and Stress Scales–21 (DASS–21), has yet to be thoroughly investigated with adolescents in the United States. This study investigated the underlying factor structure of the DASS–21 in a sample of U.S. adolescents ( N = 2,454) by using confirmatory factor analytic techniques to test several alternate models. A bifactor model specifying general Negative Affectivity and three specific factors of Depression, Anxiety, and Stress yielded the best fit. Results from this study suggest that (a) the DASS–21 scales reflect a common factor, indicating that a total score of the DASS–21 can be derived as a measure of general negative affectivity, and (b) the DASS–21 may not adequately differentiate between the experiences of negative affectivity, anxiety, and stress in U.S. adolescents.

Psychometric Definition of Rorschach Determinant Component Structure

1998 ◽  
Vol 14 (2) ◽  
pp. 116-123 ◽  
Author(s):  
Raymond M. Costello
Keyword(s):  
Lower Order ◽  
Three Dimensions ◽  
Comprehensive System ◽  
Empirical Examination ◽  
Component Structure ◽  
Exner's Comprehensive System ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Components Analysis ◽  
Definition Of

This is an empirical examination of Experienced Stimulation (es) and Experience Actual (EA) from Exner's Comprehensive System (CS) for Rorschach's Test, spurred by Kleiger's theoretical critique. Principal components analysis, Cronbach's α, and inter-item correlational analyses were used to test whether 13 determinants used to code Rorschach responses (M, FM, m, CF+C, YF+Y, C'F+C', TF+T, VF+V, FC, FC', FV, FY, FT) are best represented as a one, two, or more-dimensional construct. The 13 determinants appear to reflect three dimensions, a “lower order” sensori-motor dimension (m + CF+C + YF+Y + C'F+C' + TF+T + VF+V) with a suggested label of Modified Experienced Stimulation (MES), a “higher order” sensori-motor dimension (FM + FV + FY + FT) with a suggested label of Modified Experience Potential (MEP), and a third sensori-motor dimension (M+FC+FC') for which the label of Modified Experience Actual (MEA) is suggested. These findings are consistent with Kleiger's arguments and could lead to a refinement of CS constructs by aggregating determinants along lines more theoretically congruous and more internally consistent. A RAMONA model with parameters specified was presented for replication attempts which use confirmatory factor analytic techniques.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

Stability and Factor Structure of the Jackson Personality Inventory-Revised

2000 ◽  
Vol 86 (2) ◽  
pp. 421-428 ◽  
Author(s):  
Joseph A. Doster ◽  
Susan E. Wilcox ◽  
Paul L. Lambert ◽  
Maria F. Rubino-Watkins ◽  
Arthur J. Goven ◽  
...  
Keyword(s):  
Continuing Education ◽  
Factor Structure ◽  
Big Five ◽  
Cognitive Styles ◽  
Value Orientation ◽  
Personality Inventory ◽  
Varimax Rotation ◽  
Interpersonal Patterns ◽  
Components Analysis ◽  
Patterns Of Interaction

The Jackson Personality Inventory-Revised comprises 15 bipolar scales and five cluster scores concerning an individual's interpersonal patterns of interaction, cognitive styles, and value orientation. Recent reviews of this revised version raise questions about test-retest stability as well as the factor structure on which cluster scores are based. 74 men and 33 women (29–63 years of age, M = 42.3) completed the inventory while participating in a continuing education program. Of these 45 participated in a second session 13 wk. later. Test-retest correlations are significant, with 12 of the 15 scales having correlations > .75. Intercorrelations among all subscales indicate that the Jackson subscales for the most part remain distinct from each other ranging from .01 to .59. A Principal Components Analysis with a varimax rotation yielded three factors that parallel the NEO big five, i.e., Openness, Neuroticism, and Extroversion and replicated previous factor structure found for both versions of the Jackson inventory. The fourth and fifth factors here were labeled Trustworthy and Organization; however, the composition of these factors across several studies appears to be unstable, suggesting optimal certainty when interpreting the clusters of subscales associated only with Openness, Neuroticism, and Extroversion. Further research may help clarify the instability associated with the other factors of this inventory.

scholarly journals Scale development of occupational identity and testing model of antecedents and outcome variables of occupational identity

2014 ◽  
Vol 27 (4) ◽  
pp. 617-642 ◽  
Author(s):  
HongJoon Yoo ◽  
TaeYong Yoo ◽  
TaeIn Chung ◽  
Seongho Bae ◽  
AReum Jo
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Discriminant Validity ◽  
Common Factor ◽  
Occupational Identity ◽  
Future Research ◽  
Workplace Satisfaction ◽  
Confirmatory Factor ◽  
Intention To Continue ◽  
Three Factor

The first purpose of this study was to define the construct of occupational identity and develop the scale of occupational identity, the second purpose of this study was to examine the factor structure of occupational identity using exploratory common factor analysis and test the discriminant validity of occupational identity with workplace satisfaction, and third purpose of this study was to test the model of antecedents and outcome variables of occupational identity using confirmatory factor analysis. For fulfilling these purposes, three studies were conducted. Data were gathered from 390 workers in study 1, 505 workers in study 2, 1,115 workers in study 3. As a result, the three-factor structure of occupational identity was stably replicated, although the sample was changed. The occupational identity had discriminant validity with workplace satisfaction. Except for person-occupation fit(a subfactor of occupational identity) had a high correlation with general, occupational satisfaction(a subfactor of workplace satisfaction), other subfactors of occupational identity generally had low correlations with other subfactors of workplace satisfaction. It was found that the occupational identity was derived from occupational reputation, dedication to the occupation, occupational pride, and mission to the occupation. And the occupational identity resulted in the purpose of the worker’s life and intention to continue the worker’s occupation. Based on these results, We made discussions about implications, limitations, and future research tasks.

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