Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 8 |
Descriptor
Construct Validity | 9 |
Correlation | 9 |
Error of Measurement | 9 |
Factor Analysis | 4 |
Psychometrics | 4 |
Depression (Psychology) | 3 |
Factor Structure | 3 |
Measurement Techniques | 3 |
Measures (Individuals) | 3 |
Anxiety | 2 |
College Students | 2 |
More ▼ |
Source
Education Sciences | 1 |
Grantee Submission | 1 |
Journal of Child Psychology… | 1 |
Journal of Continuing… | 1 |
Journal of Psychoeducational… | 1 |
Measurement and Evaluation in… | 1 |
Research in Developmental… | 1 |
SAGE Open | 1 |
Author
Ailin Yuan | 1 |
Angold, Adrian | 1 |
Campbell, Chris | 1 |
Catherine P. Bradshaw | 1 |
Chunlei Gao | 1 |
De Cat, Jos | 1 |
Desloovere, Kaat | 1 |
Egger, Helen L. | 1 |
Feys, Hilde | 1 |
Gillies, Robyn M. | 1 |
Heyrman, Lieve | 1 |
More ▼ |
Publication Type
Reports - Research | 8 |
Journal Articles | 7 |
Numerical/Quantitative Data | 1 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
China | 1 |
Colorado (Denver) | 1 |
Ethiopia | 1 |
Florida | 1 |
New York (New York) | 1 |
North Carolina (Charlotte) | 1 |
Tennessee (Memphis) | 1 |
Texas (Dallas) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Beck Depression Inventory | 1 |
Child Behavior Checklist | 1 |
Classroom Assessment Scoring… | 1 |
Students Evaluation of… | 1 |
What Works Clearinghouse Rating
Factor Structure and Psychometric Properties of the Digital Stress Scale in a Chinese College Sample
Chunlei Gao; Mingqing Jian; Ailin Yuan – SAGE Open, 2024
The Digital Stress Scale (DSS) is used to measure digital stress, which is the perceived stress and anxiety associated with social media use. In this study, the Chinese version of the DSS was validated using a sample of 721 Chinese college students, 321 males and 400 females (KMO = 0.923; Bartlett = 5,058.492, p < 0.001). Confirmatory factor…
Descriptors: Factor Structure, Factor Analysis, Psychometrics, Anxiety
Tadesse, Tefera; Gillies, Robyn M.; Campbell, Chris – Education Sciences, 2018
This study tested the construct validity, factorial validity, and measurement invariance of the learning gains scale based on survey responses of a large sample (n = 536) of undergraduate students in two colleges at a university in Ethiopia. The analyses were performed through structural equation modeling technique using the stata 13 data analysis…
Descriptors: Construct Validity, Measurement, Achievement Gains, Undergraduate Students
Meredith P. Franco; Jessika H. Bottiani; Katrina J. Debnam; Wes Bonifay; Toshna Pandey; Juliana Karras; Catherine P. Bradshaw – Grantee Submission, 2024
There is growing interest in improving and assessing teachers' use of culturally responsive practices (CRP) in the classroom, yet relatively few research-based approaches exist to address these measurement gaps. This article presents findings on the psychometric properties of a newly developed classroom observation measure of CRP, called the CARES…
Descriptors: Culturally Relevant Education, Classroom Observation Techniques, Construct Validity, Educational Practices
Koran, Jennifer – Measurement and Evaluation in Counseling and Development, 2016
Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.
Descriptors: Factor Analysis, Sample Size, Models, Sampling
Salbach, Nancy M.; Jaglal, Susan B.; Williams, Jack I. – Journal of Continuing Education in the Health Professions, 2013
Introduction: The reliability, minimal detectable change (MDC), and construct validity of the evidence-based practice confidence (EPIC) scale were evaluated among physical therapists (PTs) in clinical practice. Methods: A longitudinal mail survey was conducted. Internal consistency and test-retest reliability were estimated using Cronbach's alpha…
Descriptors: Evidence, Error of Measurement, Measures (Individuals), Physical Therapy
Heyrman, Lieve; Molenaers, Guy; Desloovere, Kaat; Verheyden, Geert; De Cat, Jos; Monbaliu, Elegast; Feys, Hilde – Research in Developmental Disabilities: A Multidisciplinary Journal, 2011
In this study the psychometric properties of the Trunk Control Measurement Scale (TCMS) in children with cerebral palsy (CP) were examined. Twenty-six children with spastic CP (mean age 11 years 3 months, range 8-15 years; Gross Motor Function Classification System level I n = 11, level II n = 5, level III n = 10) were included in this study. To…
Descriptors: Construct Validity, Cerebral Palsy, Test Validity, Interrater Reliability
Wu, Pei-Chen – Journal of Psychoeducational Assessment, 2010
This study examined measurement invariance (i.e., configural invariance, metric invariance, scalar invariance) of the Chinese version of Beck Depression Inventory II (BDI-II-C) across college males and females and compared gender differences on depression at the latent factor mean level. Two samples composed of 402 male college students and 595…
Descriptors: College Students, Females, Negative Attitudes, Construct Validity
Sterba, Sonya; Egger, Helen L.; Angold, Adrian – Journal of Child Psychology and Psychiatry, 2007
Background: The appropriateness of the "Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition" (DSM-IV) nosology for classifying preschool mental health disturbances continues to be debated. To inform this debate, we investigate whether preschool psychopathology shows differentiation along diagnostically specific lines…
Descriptors: Check Lists, Hyperactivity, Construct Validity, Psychopathology
Marsh, Herbert W.; Hocevar, Dennis – 1986
The advantages of applying confirmatory factor analysis (CFA) to multitrait-multimethod (MTMM) data are widely recognized. However, because CFA as traditionally applied to MTMM data incorporates single indicators of each scale (i.e., each trait/method combination), important weaknesses are the failure to: (1) correct appropriately for measurement…
Descriptors: Computer Software, Construct Validity, Correlation, Error of Measurement