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Rebeka Man – ProQuest LLC, 2024
In today's era of large-scale data, academic institutions, businesses, and government agencies are increasingly faced with heterogeneous datasets. Consequently, there is a growing need to develop effective methods for extracting meaningful insights from this type of data. Quantile, expectile, and expected shortfall regression methods offer useful…
Descriptors: Data, Data Analysis, Data Use, Higher Education
Sandra Jo Wilson; Brian Freeman; E. C. Hedberg – Grantee Submission, 2024
As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…
Descriptors: Benchmarking, Effect Size, Meta Analysis, Statistical Analysis
Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing
Cain, Meghan K.; Zhang, Zhiyong; Yuan, Ke-Hai – Grantee Submission, 2017
Nonnormality of univariate data has been extensively examined previously (Blanca et al., 2013; Micceri, 1989). However, less is known of the potential nonnormality of multivariate data although multivariate analysis is commonly used in psychological and educational research. Using univariate and multivariate skewness and kurtosis as measures of…
Descriptors: Multivariate Analysis, Probability, Statistical Distributions, Psychological Studies
Sharma, Kshitij; Chavez-Demoulin, Valérie; Dillenbourg, Pierre – Journal of Learning Analytics, 2017
The statistics used in education research are based on central trends such as the mean or standard deviation, discarding outliers. This paper adopts another viewpoint that has emerged in statistics, called extreme value theory (EVT). EVT claims that the bulk of normal distribution is comprised mainly of uninteresting variations while the most…
Descriptors: Foreign Countries, Educational Research, Statistical Distributions, Theories
Guangfen, Yan; Dongke, Zhang – Chinese Education & Society, 2017
As a strategic focus of talent cultivation in the new period, in recent years China's vocational education practice has seen "leapfrog" style development. A systematic look at the current state of Chinese vocational education research and exploration of its core research institutions, most frequently cited works, research "hot…
Descriptors: Foreign Countries, Vocational Education, Educational Research, Concept Mapping
Krispien, Christina Susanne – ProQuest LLC, 2010
The demand that today's schools shall produce better educational outcomes of their pupils is stronger than ever before, especially in front of the background of our globalized, competitive world. Past and current research has supported the hypothesis that the teacher is the most important ingredient in the educational process. As the Detroit…
Descriptors: Educational Objectives, Outcomes of Education, Teacher Distribution, Academic Achievement
Robinson, James T.; Tolman, Richard R. – 1981
This codebook for a machine-readable data file contains the frequencies for the values of variables for cases that are the individual activities in the Surroundings module of the BSCS Human Sciences Program. Students rated each activity on a six-item, Likert-type scale and responded to open-ended questions about the activity. Surroundings was one…
Descriptors: Curriculum Evaluation, Curriculum Research, Educational Research, Elementary Secondary Education

Robinson, James T.; Tolman, Richard R. – 1981
This codebook for a machine-readable data file contains frequencies for the values of 310 variables for 446 student cases that comprised the field test data from the testing of Knowing, a Level III module of the BSCS Human Sciences Program. This module was developed and field tested with eighth-grade students in middle schools and junior high…
Descriptors: Curriculum Evaluation, Curriculum Research, Educational Research, Elementary Secondary Education
Robinson, James T.; Tolman, Richard R. – 1981
This codebook for a machine-readable data file contains the frequencies for the value of 23 variables for each of the 3,173 student-activity evaluation interactions (cases) for the 44 activities in the Human Sciences Knowing Module. Students rated each activity on an eight-item, Likert-type scale and responded to open-ended questions about the…
Descriptors: Curriculum Evaluation, Curriculum Research, Educational Research, Elementary School Science
Robinson, James T.; Tolman, Richard R. – 1981
This codebook for a machine-readable data file contains frequencies for the values of 1,275 variables for 734 student cases that comprise the field-test data from the BSCS Human Sciences curriculum project. This three-year interdisciplinary science curriculum, designed for 11- to 14-year-olds, was field-tested in seven middle and junior high…
Descriptors: Curriculum Evaluation, Curriculum Research, Educational Research, Elementary School Science
Robinson, James T.; Tolman, Richard R. – 1981
This codebook for a machine-readable data file contains eight variables that describe the characteristics of 623 activities or activity parts that comprise the activities used in the field test of the BSCS Human Sciences Program, 1973 to 1976, and 1977, in middle and junior high schools in the United States. The file also includes 52 variables…
Descriptors: Curriculum Evaluation, Curriculum Research, Educational Research, Elementary School Science