Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 6 |
Descriptor
Data Interpretation | 7 |
Educational Research | 7 |
Measurement | 7 |
College Freshmen | 2 |
Data Analysis | 2 |
Data Collection | 2 |
Educational Assessment | 2 |
Evaluation Methods | 2 |
Evidence | 2 |
Foreign Countries | 2 |
Hierarchical Linear Modeling | 2 |
More ▼ |
Source
AERA Open | 1 |
Advances in Physiology… | 1 |
CBE - Life Sciences Education | 1 |
Journal of Agricultural… | 1 |
Measurement and Evaluation in… | 1 |
Open Review of Educational… | 1 |
ProQuest LLC | 1 |
Author
Publication Type
Journal Articles | 6 |
Information Analyses | 2 |
Reports - Descriptive | 2 |
Reports - Research | 2 |
Dissertations/Theses -… | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 3 |
Elementary Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Canada | 1 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Knekta, Eva; Runyon, Christopher; Eddy, Sarah – CBE - Life Sciences Education, 2019
Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should…
Descriptors: Factor Analysis, Surveys, Data Collection, Research Methodology
Barclay McKeown, Stephanie; Ercikan, Kadriye – AERA Open, 2017
Aggregate survey responses collected from students are commonly used by universities to compare effective educational practices across program majors, and to make high-stakes decisions about the effectiveness of programs. Yet if there is too much heterogeneity among student responses within programs, the program-level averages may not…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Educational Attitudes
Warmbrod, J. Robert – Journal of Agricultural Education, 2014
Forty-nine percent of the 706 articles published in the "Journal of Agricultural Education" from 1995 to 2012 reported quantitative research with at least one variable measured by a Likert-type scale. Grounded in the classical test theory definition of reliability and the tenets basic to Likert-scale measurement methodology, for the…
Descriptors: Agricultural Education, Educational Research, Periodicals, Journal Articles
Cope, Bill; Kalantzis, Mary – Open Review of Educational Research, 2015
In this article, we argue that big data can offer new opportunities and roles for educational researchers. In the traditional model of evidence-gathering and interpretation in education, researchers are independent observers, who pre-emptively create instruments of measurement, and insert these into the educational process in specialized times and…
Descriptors: Data Collection, Data Interpretation, Evidence, Educational Research
Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2011
Experimental data are analysed statistically to allow researchers to draw conclusions from a limited set of measurements. The hard fact is that researchers can never be certain that measurements from a sample will exactly reflect the properties of the entire group of possible candidates available to be studied (although using a sample is often the…
Descriptors: Educational Research, Statistical Inference, Data Interpretation, Probability
Diakow, Ronli Phyllis – ProQuest LLC, 2013
This dissertation comprises three papers that propose, discuss, and illustrate models to make improved inferences about research questions regarding student achievement in education. Addressing the types of questions common in educational research today requires three different "extensions" to traditional educational assessment: (1)…
Descriptors: Inferences, Educational Assessment, Academic Achievement, Educational Research

Vacha-Haase, Tammi; Nilsson, Johanna E. – Measurement and Evaluation in Counseling and Development, 1998
Statistical significance reporting and use in educational and psychological research is reviewed. An assessment of the use of statistical significance in articles published in MECD from 1990-1996 is presented. The elements of statistical significance (including sample size, effect size, and power), interpretation of results, common erroneous…
Descriptors: Data Interpretation, Educational Research, Hypothesis Testing, Measurement