Factor Structure of the Research Training Environment Scale-Revised:

1997 ◽  
Vol 25 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Jeffrey H. Kahn ◽  
Charles J. Gelso
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Research Training ◽  
Second Order ◽  
Training Environment ◽  
Environment Scale ◽  
Order Factor ◽  
Research Training Environment ◽  
Interpersonal Dimension

The factor structure of the Research Training Environment Scale-Revised was examined in a sample of 270 graduate students in counseling psychology. This confirmatory factor analysis assessed the fit of a nine-factor model corresponding to the respective subscales on the measure, as well as the fit of a second-order factor structure suggested by an exploratory factor analysis of data. The second-order factor structure fit very well when conducted on manifest (i.e., observed) subscale total scores; the results were more ambiguous when first-order latent factors were included in the factor structure. The analyses suggested that an instructional dimension and an interpersonal dimension are global factors of the research training environment.

Research Training Environment Scale--Revised

1996 ◽  
Author(s):  
Charles J. Gelso ◽  
Brent Mallinckrodt ◽  
Ann Brust Judge
Keyword(s):  
Research Training ◽  
Training Environment ◽  
Environment Scale ◽  
Research Training Environment

Examining the factor structure and its replicability across multiple listening test forms: Validity evidence for the Michigan English Test

2021 ◽  
pp. 026553222110181
Author(s):  
Tingting Liu ◽  
Vahid Aryadoust ◽  
Stacy Foo
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
General Factor ◽  
Validity Evidence ◽  
Multiple Test ◽  
Underlying Factor ◽  
Congruence Coefficient ◽  
Confirmatory Factor ◽  
Order Factor

This study evaluated the validity of the Michigan English Test (MET) Listening Section by investigating its underlying factor structure and the replicability of its factor structure across multiple test forms. Data from 3255 test takers across four forms of the MET Listening Section were used. To investigate the factor structure, each form was fitted with four Bayesian confirmatory factor analysis (CFA) models: (1) a three correlated-factor model, (2) a bi-factor model, (3) a higher-order factor model, and (4) a single general-factor model. In addition, a four-pronged heuristic comprising construct delineation, construct operationalization, factor structure analysis, and congruence coefficient was developed to examine the replicability of factor structures across the test forms. Results from the CFA models showed that the test forms were unidimensional and the four-pronged heuristic indicated that the test construct was consistently operationalized across forms. Furthermore, the congruence coefficient indicated that the factor structure representing listening was highly similar and replicable across test forms. In sum, the construct of the MET Listening Section did not comprise divisible subskills. Yet, the unidimensional factor structure of the test was replicable across the test forms.

scholarly journals Development and Validation of the Attitudes Toward Singlehood Scale Among Undergraduate Students in Malaysia and India

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Chee-Seng Tan ◽  
Siew-May Cheng ◽  
Sanju George
Keyword(s):  
Factor Analysis ◽  
Young Adults ◽  
Undergraduate Students ◽  
Factor Model ◽  
Well Being ◽  
Second Order ◽  
Beneficial Effects ◽  
Promising Tool ◽  
Good Internal Consistency ◽  
Order Factor

Although romantic relationships have been found to boost well-being, some studies demonstrated that staying single has similar beneficial effects. One cause of such contradiction is probably due to the lack of a quantitative measurement of attitudes toward singlehood. To address this methodological gap, four studies involving 1,276 undergraduate students in Malaysia and India were conducted to develop and examine the psychometric qualities of the Attitudes toward Singlehood Scale (AtSS). Study 1 selected 15 items from the pool and identified a 3-factor solution using exploratory factor analysis. However, a 9-item second-order factor model was found superior in Study 2 using confirmatory factor analysis. The 9-item AtSS demonstrated good internal consistency and test-retest reliability measured two weeks apart as well as construct and criterion validity. Study 3 further supported the superiority of the 9-item second-order factor model with replicated results of Study 2 on a new sample. Measurement invariance test supported scalar invariance across gender while ANCOVA showed female participants displaying higher scores than male counterparts. Study 4 then examined the properties of the 9-item AtSS on a sample of young adults in India. The results are consistent with Study 2 and 3, lending further support to the usability of the AtSS in different cultural contexts. Overall, the consistent findings promote the AtSS as a promising tool for assessing young adults’ attitudes toward singlehood. Implication and suggestions for future studies are also discussed.

Internship Research Training Environment Scale

2004 ◽  
Author(s):  
Julia C. Phillips ◽  
Dawn M. Szymanski ◽  
Jelena Jovanovic Ozegovic ◽  
Melissa Briggs-Phillips
Keyword(s):  
Research Training ◽  
Training Environment ◽  
Environment Scale ◽  
Research Training Environment

Replication of the Second-Order Factor Structure of Cattell's 16 Personality Factor Questionnaire

1983 ◽  
Vol 53 (3) ◽  
pp. 797-798 ◽  
Author(s):  
L. C. Allen ◽  
J. M. Schuerger
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Second Order ◽  
Primary Factor ◽  
Personality Factor ◽  
Factor Scores ◽  
Large Sample ◽  
Personality Factor Questionnaire ◽  
Order Factor

Using a large sample of 1339 adults ( M age 30 yr.), the primary factor scores on Cattell's 16 Personality Factor Questionnaire were subjected to factor analysis and confirm strong replication of Cattell's originally published second-stratum factors.

Second-Order Factor Structure of the Vancouver Obsessive Compulsive Inventory (VOCI) in a Non-Clinical Sample

2011 ◽  
Vol 39 (5) ◽  
pp. 561-577 ◽  
Author(s):  
Carlo Chiorri ◽  
Gabriele Melli ◽  
Rosa Smurra
Keyword(s):  
Factor Structure ◽  
Discriminant Validity ◽  
Factor Model ◽  
Clinical Sample ◽  
Community Sample ◽  
Second Order ◽  
Self Report ◽  
Obsessive Compulsive ◽  
Confirmatory Factor Analyses ◽  
Order Factor

Background: The Vancouver Obsessive Compulsive Inventory (VOCI) is a self-report measure of the severity of obsessive-compulsive problems such as contamination, checking, obsessions, hoarding, needing things to be just right, and indecisiveness. In the seminal paper a six-correlated-factor structure was found in a sample of OC patients, but the issue of the factor structure of the VOCI in non-clinical populations was not addressed. Aim: This study assesses the psychometric properties and the factor structure of the Italian version of the VOCI in a non-clinical sample. Method: The VOCI was administered to a large community sample (n = 445). Some participants also completed a battery including measures of OC behaviour, worry, anxiety and depression (n = 89) and were administered the VOCI twice at an 8-week interval (n = 46). Results: Confirmatory factor analyses replicated the six-correlated-factor structure originally found in a patient sample, but a more parsimonious, second-order-factor model showed a statistically higher fit, suggesting that VOCI subscales can be considered as facets of a higher-order OCD factor. The whole item pool and each of the subscales showed good internal consistency, unidimensionality, test-retest reliability and convergent construct validity. As in the original version, limited support for discriminant validity was found. Scores were weakly associated with age, gender and education. Conclusions: Although some key issues still need to be investigated (e.g. sensitivity to change), the VOCI seems to be a psychometrically sound instrument for the assessment of OCD-related behaviours and thoughts and can be used in cultural contexts different from the original.

scholarly journals Italian adaptation of the brief modified experiences in close relationships scale in a sample of cancer patients: factor analysis and clinical implications

2018 ◽  
Vol 21 (3) ◽  
Author(s):  
Davide Ghirardello ◽  
Jacopo Munari ◽  
Silvia Testa ◽  
Riccardo Torta ◽  
Fabio Veglia ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Attachment Style ◽  
Factor Structure ◽  
Help Seeking ◽  
Close Relationships ◽  
Second Order ◽  
Help Seeking Behaviors ◽  
First Order ◽  
Order Factor ◽  
Experiences In Close Relationships

Many previous studies have indicated that the attachment pattern developed during infancy shapes the adult attachment style, which in turn affects responses to stress and help-seeking behaviors. It may be relevant within clinical contexts to have easy-to-administer and rapid tools aimed to investigate attachment dimensions. The current study presents the Italian adaptation of the Brief Modified Experiences in Close Relationships (ECR-M16) – a self-reported measure of the attachment-style dimensions with reference to close others – and assesses its factorial structure. The questionnaire was administered to cancer outpatients. The number of factors to be extracted was calculated via parallel analysis. Subsequently, an exploratory factor analysis was run to calculate the first-order factor structure, which was compared to the original one via Procrustes rotation and Tucker’s coefficient. Finally, a second-order factor structure was calculated by factor analyzing the first-order factor scores. The Italian adaptation of the ECR-M16 is characterized by a first-order factor structure comprising four factors, like the original. The degree of similarity between the two ranges between fair and dissimilar. The second-order factor structure comprises two higher order dimensions, like in the original study. Although partially similar, the two second-order factor structures show relevant differences. A clinically oriented discussion centered on the similarities and differences between the two factor structures is provided, along with indications for future studies.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

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.

Sign in / Sign up

Export Citation Format

Share Document