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Sales, Adam C.; Hansen, Ben B.; Rowan, Brian – Journal of Educational and Behavioral Statistics, 2018
In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimensional modeling to incorporate these commonly discarded data without sacrificing the integrity of the matching design. After constructing a match, a researcher…
Descriptors: Computation, Prediction, Models, Data
Schmidt, Frank L. – Research Synthesis Methods, 2015
In this article, I provide answers to the questions posed by Will Shadish about the history and development of the Schmidt-Hunter methods of meta-analysis. In the 1970s, I headed a research program on personnel selection at the US Office of Personnel Management (OPM). After our research showed that validity studies have low statistical power, OPM…
Descriptors: Meta Analysis, Test Validity, Measurement, Predictive Validity
Park, Eunkyoung; Dooris, John – Assessment & Evaluation in Higher Education, 2020
This study uses decision tree analysis to determine the most important variables that predict high overall teaching and course scores on a student evaluation of teaching (SET) instrument at a large public research university in the United States. Decision tree analysis is a more robust and intuitive approach for analysing and interpreting SET…
Descriptors: Predictor Variables, Student Evaluation of Teacher Performance, Decision Making, Statistical Analysis
LaBelle, Sara; Johnson, Zac D. – Communication Education, 2018
Three studies were conducted to generate a valid and reliable instrument to measure student-to-student confirmation. Study One (N = 396) sought to establish a factor structure based on previous research. Study Two (N = 396) sought to confirm this factor structure and assess criterion-related validity. Study Three (N = 283) sought to assess…
Descriptors: College Students, Peer Relationship, Interpersonal Communication, Measures (Individuals)
Margulieux, Lauren; Ketenci, Tuba Ayer; Decker, Adrienne – Computer Science Education, 2019
Background and context: The variables that researchers measure and how they measure them are central in any area of research, including computing education. Which research questions can be asked and how they are answered depends on measurement. Objective: To summarize the commonly used variables and measurements in computing education and to…
Descriptors: Measurement Techniques, Standards, Evaluation Methods, Computer Science Education
Weerasinghe, I. M. S.; Fernando, R. L. S. – Quality Assurance in Education: An International Perspective, 2018
Purpose: The purpose of this study is to explain critical factors affecting student satisfaction levels in selected state universities in Sri Lanka. Design/methodology/approach: The study has applied an quantitative survey design guided by six hypotheses. A conceptual framework has been developed to address the research questions on the basis of a…
Descriptors: Foreign Countries, Student Satisfaction, Hypothesis Testing, Undergraduate Students
Bennett, Kyle D. – International Journal of Adult Vocational Education and Technology, 2016
Single subject design (SSD) research is a quantitative approach used to investigate basic and applied research questions. It has been used for decades to examine issues of social importance such as those related to general and special education strategies, therapeutic approaches in mental health, community health practices, safety, and business…
Descriptors: Research Design, Statistical Analysis, Validity, Data Analysis
Johnson, Donald M.; Shoulders, Catherine W. – Journal of Agricultural Education, 2019
One of the keystones of scientific disciplines is the production and dissemination of quality, valid research. Within the Journal of Agricultural Education, traditions passed down from mentor to mentee have led to the establishment of magic words and symbols that, while used to meet criteria for acceptance for publication, actually obscure and…
Descriptors: Scientific Research, Statistical Analysis, Behavior Theories, Periodicals
Sahin, Mehmet; Caliskan, Serap; Dilek, Ufuk – International Journal of Environmental and Science Education, 2015
This study reports the development and validation process for an instrument to measure university students' anxiety in physics courses. The development of the Physics Anxiety Rating Scale (PARS) included the following steps: Generation of scale items, content validation, construct validation, and reliability calculation. The results of construct…
Descriptors: Physics, Anxiety, Rating Scales, Reliability
Todd, Amber; Romine, William L.; Cook Whitt, Katahdin – Science Education, 2017
We describe the development, validation, and use of the "Learning Progression-Based Assessment of Modern Genetics" (LPA-MG) in a high school biology context. Items were constructed based on a current learning progression framework for genetics (Shea & Duncan, 2013; Todd & Kenyon, 2015). The 34-item instrument, which was tied to…
Descriptors: Genetics, Science Instruction, High School Students, Evaluation Methods
Simelane-Mnisi, Sibongile; Mji, Andile – Electronic Journal of Research in Educational Psychology, 2017
Introduction: The Approaches and Study Skills Inventory for Students (ASSIST Short Version) was used to better understand the students' approaches to learning in a mathematics classes. Method: Quantitave method was used in this study. Participants were 345 first and second year mathematics students from a university in the Gauteng province of…
Descriptors: Foreign Countries, Test Validity, Test Reliability, Questionnaires
Kentab, Mohammad Y. – Universal Journal of Educational Research, 2018
The problem of the study revolves around the application of the requirements of governance at King Saud University. The study aims to identify the extent of governance requirements at King Saud University as seen by faculty members through transparency, accountability, organizational structure, laws, regulations, and justice. To achieve the…
Descriptors: Governance, Statistical Analysis, College Faculty, Questionnaires
Shukla, Kathan; Konold, Timothy – Journal of Experimental Education, 2018
Insincere respondents can have an adverse impact on the validity of substantive inferences arising from self-administered questionnaires (SAQs). The current study introduces a new method for identifying potentially invalid respondents from their atypical response patterns. The two-step procedure involves generating a response inconsistency (RI)…
Descriptors: Measurement Techniques, Validity, Response Style (Tests), Reliability
Cadogan, John W.; Lee, Nick – Measurement: Interdisciplinary Research and Perspectives, 2016
In this commentary from Issue 14, n3, authors John Cadogan and Nick Lee applaud the paper by Aguirre-Urreta, Rönkkö, and Marakas "Measurement: Interdisciplinary Research and Perspectives", 14(3), 75-97 (2016), since their explanations and simulations work toward demystifying causal indicator models, which are often used by scholars…
Descriptors: Causal Models, Measurement, Validity, Statistical Analysis
Young, Adena E.; Worrell, Frank C. – Gifted Child Quarterly, 2018
Two studies were conducted to examine and compare the construct validity of scores on the Junior Metacognition Awareness Inventory (JMAI) and problem-solving interview protocols. Participants consisted of 183 middle and high school students attending a university summer program for academically talented youth. Study 1 results indicated that JMAI…
Descriptors: Comparative Analysis, Metacognition, Mathematics Instruction, Academically Gifted

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