Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 6 |
Descriptor
Evaluation Methods | 6 |
Program Validation | 6 |
Test Items | 6 |
Test Construction | 4 |
Psychometrics | 3 |
Factor Analysis | 2 |
Foreign Countries | 2 |
Item Analysis | 2 |
Outcome Measures | 2 |
Program Development | 2 |
Questionnaires | 2 |
More ▼ |
Source
European Journal of Physics… | 1 |
Information Systems Education… | 1 |
Journal of Educational and… | 1 |
Online Submission | 1 |
Professional School Counseling | 1 |
Research Quarterly for… | 1 |
Author
Akarsu, Bayram | 1 |
Clemens, Elysia V. | 1 |
Clough, Peter J. | 1 |
Crust, Lee | 1 |
Daigle, Roy | 1 |
Kimbel, Tyler | 1 |
Landry, Jeffrey P. | 1 |
Longenecker, Herbert E., Jr. | 1 |
May, Henry | 1 |
McDonald, Betty | 1 |
Nabb, Sam L. | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 4 |
Tests/Questionnaires | 2 |
Reports - Descriptive | 1 |
Education Level
High Schools | 2 |
Higher Education | 2 |
Secondary Education | 2 |
Grade 10 | 1 |
Grade 8 | 1 |
Postsecondary Education | 1 |
Audience
Location
Alabama | 1 |
Turkey | 1 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kimbel, Tyler; Clemens, Elysia V. – Professional School Counseling, 2015
The School Counseling Program Report Card--Student Version is a program evaluation tool designed to capture high school student perceptions of school counseling services. This article describes the initial instrument development process. Exploratory factor analysis (N = 305) yielded a 22-item instrument with three subscales that mirror the ASCA…
Descriptors: School Counseling, Program Development, Program Validation, Counseling Services
Landry, Jeffrey P.; Pardue, J. Harold; Daigle, Roy; Longenecker, Herbert E., Jr. – Information Systems Education Journal, 2013
This paper describes an instrument designed for assessing learning outcomes in data management. In addition to assessment of student learning and ABET outcomes, we have also found the instrument to be effective for determining database placement of incoming information systems (IS) graduate students. Each of these three uses is discussed in this…
Descriptors: Database Management Systems, Evaluation Methods, Graduate Students, Information Systems
Perry, John L.; Clough, Peter J.; Crust, Lee; Nabb, Sam L.; Nicholls, Adam R. – Research Quarterly for Exercise and Sport, 2015
Purpose: A new measure of sportspersonship, which differentiates between compliance and principled approaches, was developed and initially validated in 3 studies. Method: Study 1 developed items, assessed content validity, and proposed a model. Study 2 tested the factorial validity of the model on an independent sample. Study 3 further tested the…
Descriptors: Program Development, Program Validation, Physical Education, Compliance (Legal)
McDonald, Betty – Online Submission, 2013
A focus group of 18 faculty members at Campus O of a higher educational institution and another focus group of 16 faculty members at Campus S of the same institution comprised the sample, representative of close to 100% of their respective populations. Independently, both groups were engaged in interactive Problem-Based Learning sessions. They…
Descriptors: Problem Based Learning, Teaching Methods, Measures (Individuals), Focus Groups
Akarsu, Bayram – European Journal of Physics Education, 2012
Physics educators around the world often need reliable diagnostic materials to measure students' understanding of physics concept in high school. The purpose of this study is to evaluate a new diagnostic tool on High School Optics concept. Test of Conceptual Understanding on High School Optics (TOCUSO) consists of 25 conceptual items that measures…
Descriptors: High Schools, Secondary School Science, Optics, Concept Teaching
May, Henry – Journal of Educational and Behavioral Statistics, 2006
In this article, a new method is presented and implemented for deriving a scale of socioeconomic status (SES) from international survey data using a multilevel Bayesian item response theory (IRT) model. The proposed model incorporates both international anchor items and nation-specific items and is able to (a) produce student family SES scores…
Descriptors: Item Response Theory, Bayesian Statistics, Socioeconomic Status, Scaling