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Showing 1 to 15 of 18 results Save | Export
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Holmes, Christopher; Kim-Spoon, Jungmeen – Journal of Early Adolescence, 2017
Although religiousness has been identified as a protective factor against adolescent substance use, processes through which these effects may operate are unclear. The current longitudinal study examined sequential mediation of afterlife beliefs and future orientation in the relation between adolescent religiousness and cigarette, alcohol, and…
Descriptors: Religion, Beliefs, Role, Correlation
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Vaughan, Timothy S. – Journal of Statistics Education, 2015
This paper introduces a dataset and associated analysis of the scores of National Football League (NFL) games over the 2012, 2013, and first five weeks of the 2014 season. In the face of current media attention to "lopsided" scores in Thursday night games in the early part of the 2014 season, t-test results indicate no statistically…
Descriptors: Team Sports, Success, Scores, Statistics
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Taub, Gordon E.; McGrew, Kevin S.; Keith, Timothy Z. – Journal of Research in Childhood Education, 2015
This article examines the effect of improvements in timing/rhythmicity on mathematics achievement. A total of 86 participants attending 1st through 4th grades completed pre- and posttest measures of mathematics achievement from the Woodcock-Johnson III Tests of Achievement. Students in the experimental group participated in a 4-week intervention…
Descriptors: Elementary School Students, Elementary School Mathematics, Mathematics Achievement, Intervals
Swaminathan, Hariharan; Horner, Robert H.; Rogers, H. Jane; Sugai, George – Society for Research on Educational Effectiveness, 2012
This study is aimed at addressing the criticisms that have been leveled at the currently available statistical procedures for analyzing single subject designs (SSD). One of the vexing problems in the analysis of SSD is in the assessment of the effect of intervention. Serial dependence notwithstanding, the linear model approach that has been…
Descriptors: Evidence, Effect Size, Research Methodology, Intervention
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LeMire, Steven D. – Journal of Statistics Education, 2010
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…
Descriptors: Hypothesis Testing, Relationship, Statistical Significance, Models
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Rusticus, Shayna A.; Lovato, Chris Y. – Practical Assessment, Research & Evaluation, 2011
Assessing the comparability of different groups is an issue facing many researchers and evaluators in a variety of settings. Commonly, null hypothesis significance testing (NHST) is incorrectly used to demonstrate comparability when a non-significant result is found. This is problematic because a failure to find a difference between groups is not…
Descriptors: Medical Education, Evaluators, Intervals, Testing
Navarrete-Alvarez, Esteban; Rosales-Moreno, Maria Jesus; Huete-Morales, Maria Dolores – Online Submission, 2010
Statistics teaching should not be carried out in the same way for all kinds of university students. Instead, teaching statistics should take into account the different fields of study that students have chosen. For example, students of sciences or engineering have different interests and backgrounds compared to students of any social or juridical…
Descriptors: Academic Achievement, Statistics, Labor, Teaching Methods
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Kron, Assaf; Schul, Yaacov; Cohen, Asher; Hassin, Ran R. – Journal of Experimental Psychology: General, 2010
We propose that experience of emotion is a mental phenomenon, which requires resources. This hypothesis implies that a concurrent cognitive load diminishes the intensity of feeling since the 2 activities are competing for the same resources. Two sets of experiments tested this hypothesis. The first line of experiments (Experiments 1-4) examined…
Descriptors: Emotional Response, Emotional Experience, Psychological Patterns, Stimuli
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Krishnamoorthy, K.; Xia, Yanping – Multivariate Behavioral Research, 2008
The problems of hypothesis testing and interval estimation of the squared multiple correlation coefficient of a multivariate normal distribution are considered. It is shown that available one-sided tests are uniformly most powerful, and the one-sided confidence intervals are uniformly most accurate. An exact method of calculating sample size to…
Descriptors: Statistical Analysis, Intervals, Sample Size, Testing
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Bonnett, Douglas G. – Psychological Methods, 2008
Most psychology journals now require authors to report a sample value of effect size along with hypothesis testing results. The sample effect size value can be misleading because it contains sampling error. Authors often incorrectly interpret the sample effect size as if it were the population effect size. A simple solution to this problem is to…
Descriptors: Intervals, Hypothesis Testing, Effect Size, Sampling
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Keselman, H. J.; Algina, James; Lix, Lisa M.; Wilcox, Rand R.; Deering, Kathleen N. – Psychological Methods, 2008
Standard least squares analysis of variance methods suffer from poor power under arbitrarily small departures from normality and fail to control the probability of a Type I error when standard assumptions are violated. This article describes a framework for robust estimation and testing that uses trimmed means with an approximate degrees of…
Descriptors: Intervals, Testing, Least Squares Statistics, Effect Size
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
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Walker, David A. – NASPA Journal, 2004
Using correct statistical concepts is an important component when conducting quantitative research. Ideas such as power, effect size, and confidence intervals need to be addressed appropriately every time a research study is initiated. The intent of this review of the literature is to reacquaint faculty, practitioners, and graduate students with…
Descriptors: Statistical Analysis, Intervals, Graduate Students, Sample Size
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Shine, Lester C., II – Educational and Psychological Measurement, 1977
A series of independent, normally distributed events may be broken into intervals on an a priori basis. Then, within interval variance may be compared to among interval variance. These might be considered short-term and long-term variances. This concept and a test for comparing variances are presented. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Intervals
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Robey, Randall R. – Journal of Fluency Disorders, 2004
The purpose of this tutorial is threefold: (a) review the state of statistical science regarding effect-sizes, (b) illustrate the importance of effect-sizes for interpreting findings in all forms of research and particularly for results of clinical-outcome research, and (c) demonstrate just how easily a criterion on reporting effect-sizes in…
Descriptors: Web Sites, Intervals, Effect Size, Statistical Analysis
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