Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Behavioral Science Research | 10 |
Factor Structure | 10 |
Factor Analysis | 9 |
Research Methodology | 4 |
Correlation | 3 |
Sampling | 3 |
Behavior Rating Scales | 2 |
Comparative Analysis | 2 |
Statistical Analysis | 2 |
Academic Aspiration | 1 |
Addictive Behavior | 1 |
More ▼ |
Source
Multivariate Behavioral… | 2 |
Journal of Child Psychology… | 1 |
Journal of Consulting and… | 1 |
Journal of Education and… | 1 |
Psychological Assessment | 1 |
Author
Comrey, Andrew L. | 1 |
Cunningham, Morris A. | 1 |
Dodou, D. | 1 |
Esgi, Necmi | 1 |
Freeberg, Norman E. | 1 |
Lambert, Zarrel V. | 1 |
Meyer, William J. | 1 |
Nowicki, Steve | 1 |
Palmieri, Patrick A. | 1 |
Rock, Donald A. | 1 |
Smith, Gregory C. | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 3 |
Reports - Evaluative | 2 |
Information Analyses | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Nowicki Strickland Locus of… | 1 |
Stanford Binet Intelligence… | 1 |
What Works Clearinghouse Rating
Esgi, Necmi – Journal of Education and Training Studies, 2016
The aim of this study was to develop a test for assessing individuals' social media addiction; and conducting a reliability and validity study of this scale. Sample for this study was composed of 285 college students between the ages of 18 and 25. Reliability coefficients Cronbach's alpha value was 0.94 and Spearman Brown value was 0.91 for our…
Descriptors: Social Media, Test Reliability, Test Validity, Addictive Behavior
de Winter, J. C. F.; Dodou, D.; Wieringa, P. A. – Multivariate Behavioral Research, 2009
Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes ("N"), with N = 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for "N" below 50. Simulations were carried out to estimate the minimum required "N" for different…
Descriptors: Sample Size, Factor Analysis, Enrollment, Evaluation Methods
Palmieri, Patrick A.; Smith, Gregory C. – Psychological Assessment, 2007
The authors examined the structural validity of the parent informant version of the Strengths and Difficulties Questionnaire (SDQ) with a sample of 733 custodial grandparents. Three models of the SDQ's factor structure were evaluated with confirmatory factor analysis based on the item covariance matrix. Although indices of fit were good across all…
Descriptors: Measures (Individuals), Prosocial Behavior, Grandparents, Factor Analysis

Comrey, Andrew L. – Journal of Consulting and Clinical Psychology, 1978
Investigators are urged to plan factor analytic studies prior to collecting the data, to formulate a hypothesized factor structure, to develop several relatively pure measures of each factor expected, and to select an appropriate sample of at least 200 cases. Continuous variables should be used rather than dichotomous variables. (Author)
Descriptors: Behavioral Science Research, Data Collection, Factor Analysis, Factor Structure

Lambert, Zarrel V.; And Others – Multivariate Behavioral Research, 1991
A method is presented that eliminates some interpretational limitations arising from assumptions implicit in the use of arbitrary rules of thumb to interpret exploratory factor analytic results. The bootstrap method is presented as a way of approximating sampling distributions of estimated factor loadings. Simulated datasets illustrate the…
Descriptors: Behavioral Science Research, Computer Simulation, Estimation (Mathematics), Factor Structure

Zwick, William R.; Velicer, Wayne F. – 1984
A common problem in the behavioral sciences is to determine if a set of observed variables can be more parsimoniously represented by a smaller set of derived variables. To address this problem, the performance of five methods for determining the number of components to retain (Horn's parallel analysis, Velicer's Minimum Average Partial (MAP),…
Descriptors: Behavioral Science Research, Comparative Analysis, Correlation, Data Interpretation

Cunningham, Morris A. – Journal of Child Psychology and Psychiatry, 1971
Nineteen children were rated on 24 behavior traits by ten nurses in a children's in-patient unit. (Author)
Descriptors: Analysis of Variance, Behavior Rating Scales, Behavioral Science Research, Emotional Disturbances
Nowicki, Steve – 1973
This study investigate the factor structure of the Nowicki-Strickland locus of control scales for children. A major objective of the research was to provide empirical evidence that can help to reveal the multi-dimensionality (or uni-dimensionality) of locus of control. This is an important distinction because locus of control will be a superior…
Descriptors: Age Differences, Behavioral Science Research, Elementary School Students, Factor Analysis
Meyer, William J.; And Others – 1968
The following research projects are described in this annual report: (1) "Concept Learning in Discrimination Tasks," which indicates that kindergarten children are able to discriminate the letters "b,""d,""p," and "q"; (2) "Discrimination of Letter-like Forms," indicating that nursery…
Descriptors: Annual Reports, Behavior Rating Scales, Behavioral Science Research, Cognitive Development
Freeberg, Norman E.; Rock, Donald A. – 1970
Several indices of factorial consistency were applied to a biographical inventory administered to a longitudinal sample of 2070 students in the 7th, 9th, and 11th grades. Results were compared with those of a prior cross-sectional study at the same grade levels. Comparisons of dimensional change over the three grades, for the cross-sectional and…
Descriptors: Academic Aspiration, Behavior Change, Behavioral Science Research, Biographical Inventories