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Harji, Madhubala Bava; Ismail, Zalina; Chetty, Thiba Naraina; Letchumanan, Krishnaveni – English Language Teaching, 2017
To date, plagiarism continues to be a widespread problem in higher education. Deemed to be endemic, researchers continue to examine various aspects of plagiarism, including students' perception, practices, attitudes and reasons for plagiarism, in addressing this growing concern. Most studies, however, tend to examine these aspects independently.…
Descriptors: Student Attitudes, Plagiarism, Ethics, Undergraduate Students
Harrison, Ashley J.; Slane, Mylissa M.; Hoang, Linh; Campbell, Jonathan M. – Autism: The International Journal of Research and Practice, 2017
Autism spectrum disorder-specific knowledge deficits contribute to current disparities in the timing and quality of autism spectrum disorder services throughout the United States and globally. This study conducted a systematic review of Western and International literature to examine measures used to assess autism spectrum disorder knowledge. This…
Descriptors: Autism, Pervasive Developmental Disorders, Measures (Individuals), Psychometrics
Clawson, Ann; South, Mikle; Baldwin, Scott A.; Larson, Michael J. – Journal of Autism and Developmental Disorders, 2017
We examined the error-related negativity (ERN) as an endophenotype of ASD by comparing the ERN in families of ASD probands to control families. We hypothesized that ASD probands and families would display reduced-amplitude ERN relative to controls. Participants included 148 individuals within 39 families consisting of a mother, father, sibling,…
Descriptors: Pervasive Developmental Disorders, Autism, Statistical Analysis, Multiple Regression Analysis
Yormaz, Seha; Sünbül, Önder – Educational Sciences: Theory and Practice, 2017
This study aims to determine the Type I error rates and power of S[subscript 1] , S[subscript 2] indices and kappa statistic at detecting copying on multiple-choice tests under various conditions. It also aims to determine how copying groups are created in order to calculate how kappa statistics affect Type I error rates and power. In this study,…
Descriptors: Statistical Analysis, Cheating, Multiple Choice Tests, Sample Size
Onukwufor, Jonathan N.; Iruloh, Betty-Ruth Ngozi – Journal of Education and Practice, 2017
This study was conducted to ascertain the prevalence, gender and level of schooling differences in secondary school students' level of shyness in Ikwerre Local Government Area of Rivers State. Population of the study comprised all the senior secondary school class two (SSS II) and all the Junior Secondary school class two (JSS II) students in the…
Descriptors: Secondary School Students, Incidence, Gender Differences, Shyness
Trafimow, David; MacDonald, Justin A. – Educational and Psychological Measurement, 2017
Typically, in education and psychology research, the investigator collects data and subsequently performs descriptive and inferential statistics. For example, a researcher might compute group means and use the null hypothesis significance testing procedure to draw conclusions about the populations from which the groups were drawn. We propose an…
Descriptors: Statistical Inference, Statistics, Data Collection, Equations (Mathematics)
Samuels, Mandel G. – ProQuest LLC, 2017
As the complexities of the departmental chair continued to increase, so did the importance of having a process to use to fairly assign the teaching load for departmental chairs. In 1982 Carolyn Branch conducted a survey to identify the factors that were being used. She received input from the chief academic officers that a process, procedure or…
Descriptors: Teaching Load, Community Colleges, Department Heads, Deans
Karabatsos, George – Grantee Submission, 2017
This article introduces a Bayesian method for testing the axioms of additive conjoint measurement. The method is based on an importance sampling algorithm that performs likelihood-free, approximate Bayesian inference using a synthetic likelihood to overcome the analytical intractability of this testing problem. This new method improves upon…
Descriptors: Bayesian Statistics, Measurement, Statistical Analysis, Statistical Inference
Doty, Laura S. – ProQuest LLC, 2017
During the 1960s, a community college movement spread across the United States providing for the expansion of education beyond high school to local communities. Ohio took part in this movement under the vision of Governor James A. Rhodes who wanted community colleges established to provide technical training and retraining to meet the needs of the…
Descriptors: Community Colleges, Enrollment Management, Surveys, Statistical Analysis
Kelcey, Ben; Dong, Nianbo; Spybrook, Jessaca – Society for Research on Educational Effectiveness, 2017
The purpose of this study is to disseminate the results of recent advances in statistical power analyses with regard to multilevel mediation and its implementation in the PowerUp!-Mediator software. The authors first focus on the conceptual and statistical differences among common asymptotic, component-wise, and resampling-based tests of mediation…
Descriptors: Computer Software, Research Design, Statistical Analysis, Hierarchical Linear Modeling
Dong, Nianbo; Spybrook, Jessaca; Kelcey, Ben – Society for Research on Educational Effectiveness, 2017
The purpose of this paper is to present results of recent advances in power analyses to detect the moderator effects in Cluster Randomized Trials (CRTs). This paper focus on demonstration of the software PowerUp!-Moderator. This paper provides a resource for researchers seeking to design CRTs with adequate power to detect the moderator effects of…
Descriptors: Computer Software, Research Design, Randomized Controlled Trials, Statistical Analysis
Ding, Peng; Van der Weele, Tyler; Robins, James M. – Grantee Submission, 2017
Drawing causal inference with observational studies is the central pillar of many disciplines. One sufficient condition for identifying the causal effect is that the treatment-outcome relationship is unconfounded conditional on the observed covariates. It is often believed that the more covariates we condition on, the more plausible this…
Descriptors: Causal Models, Inferences, Outcomes of Treatment, Interaction
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
Safrudiannur; Rott, Benjamin – EURASIA Journal of Mathematics, Science and Technology Education, 2020
The use of Likert scale items for measuring teachers' beliefs quantitatively is criticized. In this study, two quantitative methods to measure teachers' beliefs, a Likert scale instrument as well as a new instrument employing rank-then-rate items, are each compared with a qualitative approach at obtaining beliefs, i.e. interviews along with…
Descriptors: Beliefs, Teacher Attitudes, Attitude Measures, Likert Scales
Oldac, Yusuf Ikbal; Kondakci, Yasar – Educational Management Administration & Leadership, 2020
The purpose of this study was to investigate the relationship between student achievement and a set of school-level variables, including distributed leadership, academic optimism, teacher collaboration and enabling school structure. The study was designed as correlational research. A Hierarchical Linear Modeling (HLM) analysis was conducted with a…
Descriptors: Statistical Analysis, Institutional Characteristics, Academic Achievement, Power Structure

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