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Showing 1 to 15 of 27 results Save | Export
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Aert, Robbie C. M.; Jackson, Dan – Research Synthesis Methods, 2019
The Hartung-Knapp method for random-effects meta-analysis, that was also independently proposed by Sidik and Jonkman, is becoming advocated for general use. This method has previously been justified by taking all estimated variances as known and using a different pivotal quantity to the more conventional one when making inferences about the…
Descriptors: Meta Analysis, Least Squares Statistics, Inferences, Guidelines
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López-Bonilla, Luis Miguel; López-Bonilla, Jesús Manuel – British Journal of Educational Technology, 2017
The debate about the role of attitude in the technology acceptance model (TAM) seems to have re-emerged in two prestigious journals in the field of educational technology. Among the publications on this debate, there are authors in favour of excluding the attitude of TAM, whereas others are in favour of including it. These opinions are derived…
Descriptors: Computer Attitudes, Adoption (Ideas), Models, Educational Technology
Belfield, Clive; Bailey, Thomas – Center for Analysis of Postsecondary Education and Employment, 2017
Recently, studies have adopted fixed effects modeling to identify the returns to college. This method has the advantage over ordinary least squares estimates in that unobservable, individual-level characteristics that may bias the estimated returns are differenced out. But the method requires extensive longitudinal data and involves complex…
Descriptors: Associate Degrees, Outcomes of Education, Education Work Relationship, Robustness (Statistics)
Koziol, Natalie A.; Bovaird, James A. – Educational and Psychological Measurement, 2018
Evaluations of measurement invariance provide essential construct validity evidence--a prerequisite for seeking meaning in psychological and educational research and ensuring fair testing procedures in high-stakes settings. However, the quality of such evidence is partly dependent on the validity of the resulting statistical conclusions. Type I or…
Descriptors: Computation, Tests, Error of Measurement, Comparative Analysis
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Lee, Myoung-jae – Sociological Methods & Research, 2016
With one treated and one untreated periods, difference in differences (DD) requires the untreated response changes to be the same across the treatment and control groups, if the treatment were withheld contrary to the fact. A natural way to check the condition is to backtrack one period and examine the response changes in two pretreatment periods.…
Descriptors: Least Squares Statistics, Control Groups, Generalization, Models
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Altanopoulou, Panagiota; Tselios, Nikolaos – International Review of Research in Open and Distributed Learning, 2017
This study investigated undergraduate students' intention to use wiki technology. An extension of the Technology Acceptance Model (TAM) has been used by taking into account not only students' wiki perceived utility and usability, but also Big Five personality characteristics and two other variables, social norms, and facilitating conditions, as…
Descriptors: Undergraduate Students, Intention, Technology Uses in Education, Web 2.0 Technologies
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Ravand, Hamdollah; Baghaei, Purya – Practical Assessment, Research & Evaluation, 2016
Structural equation modeling (SEM) has become widespread in educational and psychological research. Its flexibility in addressing complex theoretical models and the proper treatment of measurement error has made it the model of choice for many researchers in the social sciences. Nevertheless, the model imposes some daunting assumptions and…
Descriptors: Least Squares Statistics, Structural Equation Models, Nonparametric Statistics, Sample Size
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Fulmer, Gavin W.; Polikoff, Morgan S. – Educational Assessment, Evaluation and Accountability, 2014
An essential component in school accountability efforts is for assessments to be well-aligned with the standards or curriculum they are intended to measure. However, relatively little prior research has explored methods to determine statistical significance of alignment or misalignment. This study explores analyses of alignment as a special case…
Descriptors: Alignment (Education), Educational Assessment, Academic Standards, Regression (Statistics)
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Koziol, Natalie A. – Applied Measurement in Education, 2016
Testlets, or groups of related items, are commonly included in educational assessments due to their many logistical and conceptual advantages. Despite their advantages, testlets introduce complications into the theory and practice of educational measurement. Responses to items within a testlet tend to be correlated even after controlling for…
Descriptors: Classification, Accuracy, Comparative Analysis, Models
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Solomon, Benjamin G.; Forsberg, Ole J. – School Psychology Quarterly, 2017
Bayesian techniques have become increasingly present in the social sciences, fueled by advances in computer speed and the development of user-friendly software. In this paper, we forward the use of Bayesian Asymmetric Regression (BAR) to monitor intervention responsiveness when using Curriculum-Based Measurement (CBM) to assess oral reading…
Descriptors: Bayesian Statistics, Regression (Statistics), Least Squares Statistics, Evaluation Methods
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Jacob, Robin T.; Goddard, Roger D.; Kim, Eun Sook – Educational Evaluation and Policy Analysis, 2014
It is often difficult and costly to obtain individual-level student achievement data, yet, researchers are frequently reluctant to use school-level achievement data that are widely available from state websites. We argue that public-use aggregate school-level achievement data are, in fact, sufficient to address a wide range of evaluation questions…
Descriptors: Academic Achievement, Data, Information Utilization, Educational Assessment
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Huang, Francis L.; Cornell, Dewey G. – Journal of School Violence, 2012
School violence research is often concerned with infrequently occurring events such as counts of the number of bullying incidents or fights a student may experience. Analyzing count data using ordinary least squares regression may produce improbable predicted values, and as a result of regression assumption violations, result in higher Type I…
Descriptors: Violence, Bullying, Least Squares Statistics, Victims
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Yildiz, Osman; Bal, Abdullah; Gulsecen, Sevinc – EURASIA Journal of Mathematics, Science & Technology Education, 2015
The demand for distance education has been increasing at a rapid pace all around the world. This, in turn, places a special importance on the need for the development of more distance education systems. However, there is an alarming rise in the number of distance education students that drop out of the system without asking for any help. The…
Descriptors: Distance Education, Academic Achievement, Computation, Models
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Ehren, Melanie C. M.; Shackleton, Nichola – British Journal of Educational Studies, 2016
In many countries the need for education systems and schools to improve and innovate has become central to the education policy of governments. School inspections are expected to play an important role in promoting such continuous improvement and to help schools and education systems more generally to consider the need for change and improvement.…
Descriptors: Foreign Countries, Educational Change, Inspection, Comparative Analysis
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Dougherty, Michael R.; Thomas, Rick P. – Psychological Review, 2012
The authors propose a general modeling framework called the general monotone model (GeMM), which allows one to model psychological phenomena that manifest as nonlinear relations in behavior data without the need for making (overly) precise assumptions about functional form. Using both simulated and real data, the authors illustrate that GeMM…
Descriptors: Least Squares Statistics, Decision Making, Cognitive Development, Child Development
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