Publication Date
| In 2026 | 0 |
| Since 2025 | 62 |
| Since 2022 (last 5 years) | 366 |
| Since 2017 (last 10 years) | 1060 |
| Since 2007 (last 20 years) | 2683 |
Descriptor
Source
Author
Publication Type
Education Level
Location
| Turkey | 233 |
| Australia | 94 |
| China | 75 |
| United States | 64 |
| Taiwan | 58 |
| Canada | 54 |
| Indonesia | 51 |
| Hong Kong | 44 |
| Germany | 42 |
| Netherlands | 40 |
| Iran | 39 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Beasley, Jordon J.; Norris, Elizabeth K. – Journal of School Counseling, 2021
School counselors often experience high levels of stress that may result from a variety of factors including multiple job responsibilities, role ambiguity, high caseloads, limited clinical supervision, and exposure to students who have experienced trauma (DeMato & Curcio, 2004; Lambie, 2007; McCarthy et al., 2010; Rumsey, 2017; Mullen &…
Descriptors: School Counselors, Trauma, Stress Variables, Pilot Projects
Baptiste, Yvonne M.; Abramovich, Samuel; Browne, Cherylea J. – Advances in Physiology Education, 2021
Supplemental resources in science education are made available to students based on the belief that they will improve course-based student learning. This belief is ubiquitous, with supplemental resources being a traditional component of physiology education. In addition, the recent large-scale transition to remote learning caused by the COVID-19…
Descriptors: Science Instruction, Instructional Materials, Distance Education, Educational Resources
Yang, Hongwei; Su, Jian – International Review of Research in Open and Distributed Learning, 2021
The study revisited the community of inquiry (CoI) instrument for construct revalidation. To that end, the study used confirmatory factor analysis (CFA) to examine four competing models (unidimensional, correlated-factor, second-order factor, and bifactor models) on model fit statistics computed using parameter estimates from a statistical…
Descriptors: Inquiry, Communities of Practice, Factor Analysis, Correlation
Savicki, Victor; Price, Michele V. – Journal of Transformative Education, 2021
Reflection is a key component of the transformative learning process. In this study, we take steps to define components of reflection and link them to a computer-based, quantitative method of content analysis called Linguistic Inquiry and Word Count (LIWC). This method can be used to evaluate common forms of reflective writing such as journals,…
Descriptors: Transformative Learning, Measurement, Computational Linguistics, Reflection
McLeod, Bryce D.; Sutherland, Kevin S.; Broda, Michael; Granger, Kristen L.; Martinez, Ruben G.; Conroy, Maureen A.; Snyder, Patricia A.; Southam-Gerow, Michael A. – Grantee Submission, 2021
Though treatment integrity measurement is important for research intended to promote social and behavioral outcomes of children at risk for emotional and behavioral disorders (EBDs) in early childhood settings, measurement gaps exist in the field. This paper reports on the development and preliminary psychometric assessment of the treatment…
Descriptors: Psychometrics, Measures (Individuals), Fidelity, Integrity
Bronson Hui – ProQuest LLC, 2021
Vocabulary researchers have started expanding their assessment toolbox by incorporating timed tasks and psycholinguistic instruments (e.g., priming tasks) to gain insights into lexical development (e.g., Elgort, 2011; Godfroid, 2020b; Nakata & Elgort, 2020; Vandenberghe et al., 2021). These timed sensitive and implicit word measures differ…
Descriptors: Measures (Individuals), Construct Validity, Decision Making, Vocabulary Development
Awofala, Adeneye O. A.; Olabiyi, Oladiran S.; Awofala, Awoyemi A.; Ojo, Omolabake T.; Okunuga, Racheal O.; Lawani, Abisola O. – Digital Education Review, 2020
Internationally, the proliferation of digital technologies in classrooms has produced digital distractions among digital natives in this 21st century. Thus, it is highly imperative to develop a suitable instrument for assessing and measuring digital distraction among higher education students to enable continuing research and practice. While…
Descriptors: Preservice Teachers, Undergraduate Students, Young Adults, STEM Education
Cian, Heidi – Electronic Journal for Research in Science & Mathematics Education, 2020
Socioscientific issues, issues that center on the intersection between scientific and social problems in real-world contexts, are valuable tools to use in science instruction due to their association with gains in scientific literacy, argumentation skills, and content knowledge. However, due to their complex nature, crafting instruction using…
Descriptors: Science and Society, Social Problems, Science Instruction, Prior Learning
Lambriex-Schmitz, Peggy; Van der Klink, Marcel R.; Beausaert, Simon; Bijker, Monique; Segers, Mien – Vocations and Learning, 2020
Our study aims to develop and validate a multidimensional Innovative Work Behaviour instrument to measure teachers IWB. Current IWB conceptualizations and operationalizations need further attention. Existing measurements miss empirical evidence of the construct validity and moreover do not include a sustainability dimension. Based on a thorough…
Descriptors: Measures (Individuals), Factor Analysis, Psychometrics, Work Environment
Nielsen, Tine – Cogent Education, 2020
Academic self-efficacy is mostly construed as specific; task-specific, course-specific or domain-specific. Previous research in the Danish university context has shown that the self-efficacy subscale in the Motivated Strategies for Leaning Questionnaire is not a single scale, but consists of two separate course- and activity-specific scales; the…
Descriptors: Academic Achievement, Self Efficacy, Test Wiseness, Construct Validity
Korkmaz, Özgen; Çakir, Recep; Ugur-Erdogmus, Feray – International Journal of Psychology and Educational Studies, 2020
The aim of this study is to develop a perception scale related to the possible basic skills that can be gained through STEM. Participants of this study were 723 university students. In this study, descriptive survey study was conducted. To identify validity of the scale exploratory factor analysis, cumulative item factor, corrected correlations…
Descriptors: STEM Education, Test Reliability, Knowledge Level, College Students
Sara Faye Maher – ProQuest LLC, 2020
To meet the needs of complex and/or underserved patient populations, health care professionals must possess diverse backgrounds, qualities, and skill sets. Holistic review has been used to diversify student admissions through examination of non-cognitive attributes of health care applicants. The objective of this study was to develop a novel…
Descriptors: Computer Assisted Testing, Pilot Projects, Measures (Individuals), Reliability
Lockwood, Adam B.; Mcclure, John; Sealander, Karen; Baker, Courtney N. – Psychology in the Schools, 2017
There is an ever-increasing need for school psychology training programs to demonstrate their ability to produce competent practitioners. One method of addressing this need is through the assessment of self-efficacy. However, little research on self-efficacy in school psychology exists likely due to the lack of a psychometrically sound measure of…
Descriptors: School Psychology, Trainees, Self Efficacy, School Psychologists
Bloom, Zachary D.; Gutierrez, Daniel; Lambie, Glenn W. – Measurement and Evaluation in Counseling and Development, 2017
Researchers performed an exploratory factor analysis on the Attitudes Toward Erotica Questionnaire (ATEQ) and examined the construct and concurrent validity of the ATEQ data with a sample of practicing counselors and marriage and family therapists in the state of Florida (N = 373). The data analyses resulted in a two-factor, 10-item assessment…
Descriptors: Factor Structure, Test Validity, Attitude Measures, Questionnaires
Swank, Jacqueline M.; Mullen, Patrick R. – Measurement and Evaluation in Counseling and Development, 2017
The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.
Descriptors: Correlation, Construct Validity, Guidelines, Data Interpretation

Peer reviewed
Direct link
