Sentences with phrase «exploratory factor»

"Exploratory factor" refers to a statistical method used to study and understand the relationships between different items or variables in a research study. It helps researchers explore and identify underlying factors or themes that may be present in a set of data. Full definition
The construct validity was assessed through a comparison with the categories used in the aforementioned study and the results of exploratory factor analysis.
We conducted exploratory factor analysis to explore the structure of the items and compared the distribution of each scale means by age group and gender.
Maximum likelihood exploratory factor analysis from administration in this sample indicated the items loaded on one factor, which accounted for 51 % of the sample variance.
However, exploratory factor analysis including these two indicators generated a three - factor solution that could be interpreted as an assessment of sexual relationships in addition to positive and negative experiences.
iv) Assessment of model fit: Structural equation modeling was performed to produce a structural model using the factors finally adopted after exploratory factor analysis (maximum - likelihood estimation and promax rotation) as latent variables.
Confirmatory factor analysis standardised factor loadings of variables selected from exploratory factor analysis
The Kaiser - Meyer - Olkin (KMO) measure was used for sampling adequacy (using a cut - off of 0.5), and Barlett's Test of Sphericity (using a cut - off P < 0.01) was used to ensure the appropriateness of the data set for exploratory factor analysis.
Psychometric evaluation was done via exploratory factor analysis and reliability and regression analysis.
Do exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) techniques concord to the proposed bi-dimensional structure of the HADS in German CHD patients?
Correlations between the individual modes and measures of general psychological distress and well - being suggest a possible two category structure which subsequent exploratory factor analysis tends to support.
Further, an unrestricted Exploratory Factor Analysis, indicated items generally loaded as was expected and was indicative that items were measuring a broader TA construct as well as the potential for independent factor level
Several data analyses were performed, such as exploratory factor analysis, confirmatory factor analysis (CFA), internal consistency, analyses of variance, and zero order correlations.
Separate exploratory factor analyses (EFA's) were simultaneously conducted for men and women separately on the individual level of data and for matched couples in order to reduce scale items and then to identify the latent factor structure within the RBA.
We used exploratory factor analysis with SPSS v. 19.0 in order to examine the scale's reliability in the present population.
We conducted exploratory factor analysis using the principal component factor method to explore the structure of the items separately for relationship quality (Items 1 — 8) and shared activity (Items 9 — 13).
In terms of the reliability of the questionnaire items, the I - T correlation coefficient was maintained, while the factor structure extracted by exploratory factor analysis met the standards of the cumulative contribution ratio, the KMO measure of sampling adequacy, and Bartlett's test of sphericity.
After exploratory factor analysis (EFA), we tested the fit of the data from our Hungarian sample to the structure of SOI - R (suggested by Penke and Asendorpf, 2008) using confirmatory factor analysis (CFA).
The Kaiser - Meyer - Olkin (KMO) measure was used for sampling adequacy (using a cut - off of 0.5), and Barlett's Test of Sphericity (using a cut - off p < 0.01) was used to ensure the appropriateness of the data set for exploratory factor analysis.
In the current administration, the internal consistency of the scale was 0.90 and as indicated by a maximum likelihood exploratory factor analysis with Varimax rotation, seven factors accounted for 47 % of the sample variance.
The construct validity was assessed through a comparison with the categories used in the aforementioned study and the results of exploratory factor analysis [12].
Development of an instrument to measure student use of academic success skills: An exploratory factor analysis.
I use an exploratory factor analysis to identify four distinct components of administrators» feedback to teachers and show that different components predict different types of personnel decisions in schools.
In the paper, exploratory factor analysis and confirmatory factor analysis were applied to measure content validity and construction validity of measurement tool.
For better interpretation of the motor test battery, an exploratory factor analysis (principal components analysis, varimax rotation) was performed in order to reduce dimensions [27].
We converged an exploratory factor analysis to test the factor structure.
The factor structure of the WOCQ was assessed in three steps using both confirmatory factor analysis (CFA) and exploratory factor analysis (EFA).
ii) Assessment of construct validity: A comparative investigation of environment and individual factors, which are constituent elements of the social cognitive theory used in the extraction of questionnaire items, was carried out using exploratory factor analysis.
Construct validity was investigated by comparing the five factors adopted as a result of the exploratory factor analysis with the elements of social cognitive theory used in the hypothetical framework, that is, environment and individual factors.
An exploratory factor analysis replicated the original six - factor structure.
Exploratory Factor Analysis (EFA) was performed to determine the structural validity of VOCI questionnaire.
This study used exploratory factor analyses to determine the structure of ASD traits (assessed using the Social Communication Questionnaire) in children with ADHD.
Exploratory factor analysis with orthogonal rotation was used to uncover the number of latent constructs underlying this set of 10 items.
This scale was reduced to a 16 - item scale with four subscales using exploratory factor analysis, labeled
The exploratory factor analysis examines the internal structure of the questionnaire and, more precisely, checks the adjustment between the data collected and the theoretical model on which the questionnaire is based (Laveault & Grégoire, 2014).
An exploratory factor analysis with principal component method and with Varimax rotation was conducted on the sample.

Phrases with «exploratory factor»

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