NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Type
Journal Articles25
Reports - Descriptive25
Guides - Classroom - Teacher2
Opinion Papers2
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 25 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Marc Brysbaert – Cognitive Research: Principles and Implications, 2024
Experimental psychology is witnessing an increase in research on individual differences, which requires the development of new tasks that can reliably assess variations among participants. To do this, cognitive researchers need statistical methods that many researchers have not learned during their training. The lack of expertise can pose…
Descriptors: Experimental Psychology, Individual Differences, Statistical Analysis, Task Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Zumbo, Bruno D.; Kroc, Edward – Educational and Psychological Measurement, 2019
Chalmers recently published a critique of the use of ordinal a[alpha] proposed in Zumbo et al. as a measure of test reliability in certain research settings. In this response, we take up the task of refuting Chalmers' critique. We identify three broad misconceptions that characterize Chalmers' criticisms: (1) confusing assumptions with…
Descriptors: Test Reliability, Statistical Analysis, Misconceptions, Mathematical Models
Peer reviewed Peer reviewed
Direct linkDirect link
Travers, Jason C.; Cook, Bryan G.; Cook, Lysandra – Learning Disabilities Research & Practice, 2017
"p" values are commonly reported in quantitative research, but are often misunderstood and misinterpreted by research consumers. Our aim in this article is to provide special educators with guidance for appropriately interpreting "p" values, with the broader goal of improving research consumers' understanding and interpretation…
Descriptors: Statistical Analysis, Special Education, Research, Hypothesis Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Groth, Randall E.; Butler, Jaime; Nelson, Delmar – Teaching Statistics: An International Journal for Teachers, 2016
Students can struggle to understand and use terms that describe probabilities. Such struggles lead to difficulties comprehending classroom conversations. In this article, we describe some specific misunderstandings a group of students (ages 11-12) held in regard to vocabulary such as "certain", "likely" and…
Descriptors: Statistical Analysis, Statistics, Probability, Misconceptions
Peer reviewed Peer reviewed
Direct linkDirect link
Raff, Lionel M. – Journal of Chemical Education, 2014
The fundamental criteria for chemical reactions to be spontaneous in a given direction are generally incorrectly stated as ?G < 0 or ?A < 0 in most introductory chemistry textbooks and even in some more advanced texts. Similarly, the criteria for equilibrium are also misstated as being ?G = 0 or ?A = 0. Following a brief review of the…
Descriptors: Chemistry, Scientific Concepts, Equations (Mathematics), Thermodynamics
Peer reviewed Peer reviewed
Direct linkDirect link
Trumpower, David – Teaching Statistics: An International Journal for Teachers, 2013
This article describes an assessment activity that can show students how much they intuitively understand about statistics, but also alert them to common misunderstandings. How the activity can be used formatively to help improve students' conceptual understanding of analysis of variance is discussed. (Contains 1 figure and 1 table.)
Descriptors: Statistical Analysis, Formative Evaluation, Mathematics Education, Intuition
Peer reviewed Peer reviewed
Direct linkDirect link
Franke, Todd Michael; Ho, Timothy; Christie, Christina A. – American Journal of Evaluation, 2012
The examination of cross-classified category data is common in evaluation and research, with Karl Pearson's family of chi-square tests representing one of the most utilized statistical analyses for answering questions about the association or difference between categorical variables. Unfortunately, these tests are also among the more commonly…
Descriptors: Evaluators, Statistical Analysis, Research Methodology, Evaluation Research
Peer reviewed Peer reviewed
Direct linkDirect link
Weeks, Andrea; Bachman, Beverly; Josway, Sarah; Laemmerzahl, Arndt F.; North, Brittany – American Biology Teacher, 2014
In order to challenge our undergraduate students' enduring misconception that plants, animals, and fungi must be "advanced" and that other eukaryotes traditionally called protists must be "primitive," we have developed a 24-hour take-home guided inquiry and investigation of live Physarum cultures. The experiment replicates…
Descriptors: Science Instruction, Undergraduate Students, College Science, Misconceptions
Peer reviewed Peer reviewed
Direct linkDirect link
Chick, Helen – Australian Mathematics Teacher, 2013
Arecent episode of "MythBusters" (Williams, 2013) involved a series of "battles of the sexes" to examine myths and urban legends about things that men are supposedly better (or worse) at doing than women. Some of the processes that were used on the show to investigate these myths, along with the data they generated, can be used…
Descriptors: Misconceptions, Mathematics Instruction, Mathematical Concepts, Secondary School Mathematics
Peer reviewed Peer reviewed
Direct linkDirect link
Strayer, Jeremy F. – Mathematics Teacher, 2013
Statistical studies are referenced in the news every day, so frequently that people are sometimes skeptical of reported results. Often, no matter how large a sample size researchers use in their studies, people believe that the sample size is too small to make broad generalizations. The tasks presented in this article use simulations of repeated…
Descriptors: Sampling, Sample Size, Research Methodology, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Hassani, Hossein; Ghodsi, Mansoureh; Howell, Gareth – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2010
Many students confuse the standard deviation and standard error of the mean and are unsure which, if either, to use in presenting data. In this article, we endeavour to address these questions and cover some related ambiguities about these quantities.
Descriptors: Statistical Analysis, Data, Mathematics Instruction, Mathematical Concepts
Peer reviewed Peer reviewed
Direct linkDirect link
Schatschneider, Christopher; Lonigan, Christopher J. – Educational Researcher, 2010
Many of the methodological criticisms of the National Early Literacy Panel (NELP) report presented in this special issue of "Educational Researcher" are not specific to the NELP report but are in fact broad criticisms of much of the quantitative research on early literacy. This rejoinder demonstrates that these criticisms are off target and are…
Descriptors: Research Methodology, Statistical Analysis, Emergent Literacy, Research Reports
Peer reviewed Peer reviewed
Direct linkDirect link
Kohnle, Antje; Mclean, Stewart; Aliotta, Marialuisa – European Journal of Physics, 2011
Understanding students' prior beliefs in nuclear physics is a first step towards improving nuclear physics instruction. This paper describes the development of a diagnostic survey in nuclear physics covering the areas of radioactive decay, binding energy, properties of the nuclear force and nuclear reactions, that was administered to students at…
Descriptors: Nuclear Physics, Test Construction, Misconceptions, Science Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Kalinowski, Pav; Lai, Jerry; Fidler, Fiona; Cumming, Geoff – Statistics Education Research Journal, 2010
Our research in statistical cognition uses both qualitative and quantitative methods. A mixed method approach makes our research more comprehensive, and provides us with new directions, unexpected insights, and alternative explanations for previously established concepts. In this paper, we review four statistical cognition studies that used mixed…
Descriptors: Graduate Students, Qualitative Research, Psychologists, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Connolly, Paul – British Journal of Sociology of Education, 2008
Over recent years the findings of a number of quantitative research studies have been published in the UK on gender and achievement. Much of this work has emanated from Stephen Gorard and his colleagues and has not only been highly critical of existing approaches to handling quantitative data but has also suggested a number of alternative and,…
Descriptors: Underachievement, Foreign Countries, Statistical Analysis, Gender Differences
Previous Page | Next Page ยป
Pages: 1  |  2