In the era of Big Data, because of diminishing cost of data collection and storage, a large number of statistical tests may even possibly be conducted all together by a high school student to seek for some "exciting" new scientific findings. In this article, we propose an interesting approach to introduce students to some important…

During the past two decades, the Geoscience Education Research (GER) community has been increasingly recognized as an evidence-based research subdiscipline in the geoscience and in the larger discipline-based education research (DBER) field. Most recently, the GER community has begun to address the current state of the field and discuss the best…

Our Introduction to Research Methods course is a first-year majors course built around the idea of helping students learn to work like chemists, write like chemists, and think like chemists. We have developed this course as a hybrid hands-on/ lecture experience built around instrumentation use and report preparation. We take the product from one…

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…

The introduction of standards into the education system poses numerous challenges and difficulties. As with any change, plans should be made for teachers to understand and implement the standards. This study examined science teachers' perceptions of the effectiveness of the standards for teaching and learning, and the extent and ease/difficulty of…

This paper proposes an argument framework for the teaching of null hypothesis statistical testing and its application in support of research. Elements of the Toulmin (1958) model of argument are used to illustrate the use of p values and Type I and Type II error rates in support of claims about statistical parameters and subject matter research…

This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical…

A solid understanding of "inferential statistics" is of major importance for designing and interpreting empirical results in any scientific discipline. However, students are prone to many misconceptions regarding this topic. This article structurally summarizes and describes these misconceptions by presenting a systematic review of publications…

The strong-inference protocol puts into action the important concepts in Platt's often-assigned, classic paper on the strong-inference method (10). Yet, perhaps because students are frequently performing experiments with known outcomes, the protocols they write as undergraduates are usually little more than step-by-step instructions for performing…

"Seven Rules for Social Research" teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without. Glenn Firebaugh provides indispensable practical guidance for anyone doing research in the social…

This book provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked…

The usefulness of meta-analysis in summarizing domains of primary research has led to widespread use of the techniques. Often, however, the researcher will have several options when cumulating empirical studies and readers will have questions regarding judgment calls made during a meta-analysis. In these cases, it is helpful to consult the primary…

This book provides a selection of 23 lesson and seminar outlines designed to encourage the teaching of health statistics. It concentrates on a core of statistical knowledge judged important for all categories of health trainees, including medical students. Emphasis is placed on statistical principles and methods that can help health personnel make…

Five new strategies are proposed to help language teachers understand statistical studies. Each strategy is discussed with appropriate tables, figures, and examples drawn from recent articles of the "TESOL Quarterly." (18 references) (Author/LB)

This book is a guide to categorizing, measuring, testing, and assessing aspects of language, and is intended for language teachers, speech therapists and other language-related practitioners, and researchers, in conjunction with other resources on research methods and statistics. The first part is a discussion of basic terminology and the varied…