Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 15 |
Since 2006 (last 20 years) | 26 |
Descriptor
Nonparametric Statistics | 60 |
Research Methodology | 60 |
Statistical Analysis | 26 |
Correlation | 16 |
Hypothesis Testing | 13 |
Regression (Statistics) | 13 |
Comparative Analysis | 10 |
Educational Research | 10 |
Foreign Countries | 10 |
Sampling | 10 |
Statistical Significance | 10 |
More ▼ |
Source
Author
Ho, Andrew D. | 2 |
Meijer, Rob R. | 2 |
Penfield, Douglas A. | 2 |
Reardon, Sean F. | 2 |
Sijtsma, Klaas | 2 |
Toothaker, Larry E. | 2 |
Adams, David R. | 1 |
Alamri, Abeer | 1 |
Algina, James | 1 |
Anderson, Jonathan W. | 1 |
Anthony Petrosino | 1 |
More ▼ |
Publication Type
Audience
Researchers | 4 |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
National Longitudinal Survey… | 1 |
State of Texas Assessments of… | 1 |
Trends in International… | 1 |
What Works Clearinghouse Rating
Elwert, Felix; Pfeffer, Fabian T. – Sociological Methods & Research, 2022
Conventional advice discourages controlling for postoutcome variables in regression analysis. By contrast, we show that controlling for commonly available postoutcome (i.e., future) values of the treatment variable can help detect, reduce, and even remove omitted variable bias (unobserved confounding). The premise is that the same unobserved…
Descriptors: Bias, Regression (Statistics), Evaluation Methods, Research
Wang, Yan; Kim, Eunsook; Joo, Seang-Hwane; Chun, Seokjoon; Alamri, Abeer; Lee, Philseok; Stark, Stephen – Journal of Experimental Education, 2022
Multilevel latent class analysis (MLCA) has been increasingly used to investigate unobserved population heterogeneity while taking into account data dependency. Nonparametric MLCA has gained much popularity due to the advantage of classifying both individuals and clusters into latent classes. This study demonstrated the need to relax the…
Descriptors: Nonparametric Statistics, Hierarchical Linear Modeling, Monte Carlo Methods, Simulation
Silva-Lugo, Jose L.; Warner, Laura A.; Galindo, Sebastian – Journal of Agricultural Education and Extension, 2022
Purpose: A literature research conducted in education and agricultural education journals published during a period of 10 years revealed that 98% of the studies used parametric analyses. In general, model assumptions were not tested, and statistical criteria were not followed to apply the parametric approach. The objective of this paper is to…
Descriptors: Agricultural Education, Nonparametric Statistics, Educational Research, Models
Walter M. Stroup; Anthony Petrosino; Corey Brady; Karen Duseau – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Tests of statistical significance often play a decisive role in establishing the empirical warrant of evidence-based research in education. The results from pattern-based assessment items, as introduced in this paper, are categorical and multimodal and do not immediately support the use of measures of central tendency as typically related to…
Descriptors: Statistical Significance, Comparative Analysis, Research Methodology, Evaluation Methods
Powell, Marvin G.; Hull, Darrell M.; Beaujean, A. Alexander – Journal of Experimental Education, 2020
Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…
Descriptors: Probability, Scores, Observation, Educational Research
Kleinert, Whitney L.; Codding, Robin S.; Minami, Takuya; Gould, Kaitlin – Journal of Behavioral Education, 2018
Taped problems is an intervention strategy for addressing mathematics fluency that has been evaluated in multiple single-case design studies. Although its efficacy has been supported in individual studies, no comprehensive quantitative synthesis has been conducted on taped problems. The purpose of this study was to synthesize the literature that…
Descriptors: Meta Analysis, Intervention, Statistical Analysis, Literature Reviews
Margaret Denny; Suzanne Denieffe; Majda Pajnkihar – Sage Research Methods Cases, 2017
This case study considers how a non-equivalent control group design was used in a PhD study examining the impact of a multiple intelligence teaching approach on student engagement and learning. Two groups of second year undergraduate nursing students undertook the study: a treatment group (n = 26) and a control group (n = 18). The intervention for…
Descriptors: Educational Research, Control Groups, Research Methodology, Nursing Students
Yorke, Mantz – Tertiary Education and Management, 2017
When analysing course-level data by subgroups based upon some demographic characteristics, the numbers in analytical cells are often too small to allow inferences to be drawn that might help in the enhancement of practices. However, relatively simple analyses can provide useful pointers. This article draws upon a study involving a partnership with…
Descriptors: Demography, Nonparametric Statistics, Partnerships in Education, Research Methodology
Suzic, Nenad – Research in Pedagogy, 2017
This paper sets out to tackle the issue of the criteria which should be met prior to submission of papers to indexed scientific journals. Firstly, the author addresses the field of qualitative research and tries to define the general characteristics of such works, and secondly, some clarification is brought with respect to the imbalance between…
Descriptors: Writing for Publication, Scholarship, Periodicals, Sciences
Steiner, Peter M.; Kim, Yongnam – Society for Research on Educational Effectiveness, 2014
In contrast to randomized experiments, the estimation of unbiased treatment effects from observational data requires an analysis that conditions on all confounding covariates. Conditioning on covariates can be done via standard parametric regression techniques or nonparametric matching like propensity score (PS) matching. The regression or…
Descriptors: Observation, Research Methodology, Test Bias, Regression (Statistics)
Golino, Hudson F.; Gomes, Cristiano M. A. – International Journal of Research & Method in Education, 2016
This paper presents a non-parametric imputation technique, named random forest, from the machine learning field. The random forest procedure has two main tuning parameters: the number of trees grown in the prediction and the number of predictors used. Fifty experimental conditions were created in the imputation procedure, with different…
Descriptors: Item Response Theory, Regression (Statistics), Difficulty Level, Goodness of Fit
Vuolo, Mike – Sociological Methods & Research, 2017
Often in sociology, researchers are confronted with nonnormal variables whose joint distribution they wish to explore. Yet, assumptions of common measures of dependence can fail or estimating such dependence is computationally intensive. This article presents the copula method for modeling the joint distribution of two random variables, including…
Descriptors: Sociology, Research Methodology, Social Science Research, Models
Turkeli, Anil; Senel, Omer – Educational Research and Reviews, 2016
The current study was carried out to find out the attitudes of physical education teachers towards educational philosophy and technology, and to determine the relationship between the philosophy of education that they adopt and their attitudes toward technology. With this aim, the study was conducted on 22 female and 69 male physical education…
Descriptors: Physical Education, Physical Education Teachers, Teacher Attitudes, Educational Philosophy
Yavuz, Soner – Journal of Education and Training Studies, 2016
Environmental chemistry has been a research subject for master thesis and doctoral dissertations since the end of 1980s. Because of the wide usage of in literature, it is essential to draw a framework about the subject. For this reason, content analysis is conducted to analyze master thesis and doctoral dissertations about Environmental Education,…
Descriptors: Foreign Countries, Content Analysis, Masters Theses, Doctoral Dissertations
Reardon, Sean F.; Ho, Andrew D. – Journal of Educational and Behavioral Statistics, 2015
In an earlier paper, we presented methods for estimating achievement gaps when test scores are coarsened into a small number of ordered categories, preventing fine-grained distinctions between individual scores. We demonstrated that gaps can nonetheless be estimated with minimal bias across a broad range of simulated and real coarsened data…
Descriptors: Achievement Gap, Performance Factors, Educational Practices, Scores