Examination of the factorial structure of the positive youth development Program Quality Competency Questionnaire using responses from youth development professionals across the U.S
Bibliographic Data
| ID | 15029030 |
|---|---|
| Authors | Jeantyl Norze (0000-0002-8008-6726, Louisiana State University, corresponding author), Melissa Cater (Louisiana State University) |
| Year | 2021 |
| Volume | 25 |
| Issue | 4 |
| Pages | 385-397 |
| Publication date | 2021-10-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Applied Developmental Science (JOURNAL) |
| Journal identifiers | ISSN: 1088-8691 • E-ISSN: 1532-480X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10888691.2019.1662305 |
| OpenAlex | W2975400521 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
This study established a research instrument, Program Quality Competency Questionnaire (PQCQ), to measure the perceptions of youth development professionals about program theory, program management, child/youth development, and social ecological theory. The structural validity and reliability of the developing instrument was determined using exploratory factor analysis and confirmatory factory analysis. The results showed that the exploratory factor analysis yielded a 42-item, 6 factor solution, which was validated by the confirmatory factor analysis conducted. The model had a very good fit to the data, its factor structure was good, and its coefficients of reliability ranged from fair (>.8) to exemplary (>.90). In addition, no excessive multicollinearity was present in the data. There was evidence to claim that the internal structure of the developing instrument was valid and highly reliable
Confirmatory factor analysis · Exploratory factor analysis · Multicollinearity · Psychometrics · Quality (philosophy · Regression analysis · Reliability (semiconductor · Statistics · Structural equation modeling · Applied Psychology · Clinical Psychology · Diverse Educational Innovations Studies · Mathematics · Motivation and Self-Concept in Sports · Psychology · Social Psychology · Youth Development and Social Support
Exploratory and confirmatory factor analysis
Criteria for Scale Selection and Evaluation
Multivariate Analysis
Cutoff criteria for fit indexes in covariance structure analysis
Evaluating the use of exploratory factor analysis in psychological research.
Sample size in factor analysis.
Structural Equations with Latent Variables
A Comparison of Composite Reliability Estimators
The Application of Electronic Computers to Factor Analysis
An Investigation of the Parallel Analysis Criterion for Determining the Number of Common Factors
Component Analysis versus Common Factor Analysis
Some Additional Thoughts on Components, Factors, and Factor Indeterminancy
Where Youth Work Preparation Meets Higher Education
Back to the Rough Ground!' Beyond Theory to Practice in Evaluation
Evaluation of Scale Reliability for Unidimensional Measures Using Latent Variable Modeling
Combining Parallel and Exploratory Factor Analysis in Identifying Relationship Scales in Secondary Data
More Than Attendance
Principles and Practice of Structural Equation Modeling
Comparison of five rules for determining the number of components to retain
Development of the forced-choice rating scale technique
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |