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Showing 1 to 15 of 18 results
Liu, Xiaofeng Steven; Loudermilk, Brandon; Simpson, Thomas – Measurement in Physical Education and Exercise Science, 2014
Sample size can be chosen to achieve a specified width in a confidence interval. The probability of obtaining a narrow width given that the confidence interval includes the population parameter is defined as the power of the confidence interval, a concept unfamiliar to many practitioners. This article shows how to utilize the Statistical Analysis…
Descriptors: Sample Size, Statistical Analysis, Confidence Testing, Intervals
Li, Li – Measurement in Physical Education and Exercise Science, 2012
Modern history has evidence that sport biomechanics provide valuable contribution in the pursuit of "faster, higher, and stronger." In this article, the contribution of sport biomechanics to the Olympic Games has been divided into three different categories: improve the physical capacity of the athletes, develop innovative techniques in a given…
Descriptors: Athletes, Biomechanics, Physical Activities, Measures (Individuals)
Lee, Anita N.; Matthews, Tracey D.; Cucina, Irene M.; Tritschler, Kathleen A. – Measurement in Physical Education and Exercise Science, 2011
The purpose of this article is to introduce a 12-step approach for an abbreviated research project to promote research writing in an undergraduate measurement course. This 12-step approach assumes a 14-week semester schedule that is common among many colleges and universities. The steps for the proposed research project include selecting a topic,…
Descriptors: Research Projects, Writing Instruction, Undergraduate Students, Data Collection
Graber, Kim C.; Erwin, Heather; Woods, Amelia Mays; Rhoades, Jesse; Zhu, Weimo – Measurement in Physical Education and Exercise Science, 2011
Physical education teacher education faculty are responsible for educating the next generation of teachers. Despite their significant role, little is known about their characteristics, work preferences, or role responsibilities. The last comprehensive study undertaken to examine these variables was conducted approximately 25 years ago by Metzler…
Descriptors: Teacher Education, Physical Education, Profiles, Psychometrics
Dyson, Ben; Placek, Judith H.; Graber, Kim C.; Fisette, Jennifer L.; Rink, Judy; Zhu, Weimo; Avery, Marybell; Franck, Marian; Fox, Connie; Raynes, De; Park, Youngsik – Measurement in Physical Education and Exercise Science, 2011
This article describes how assessments in PE Metrics were developed following six steps: (a) determining test blueprint, (b) writing assessment tasks and scoring rubrics, (c) establishing content validity, (d) piloting assessments, (e) conducting item analysis, and (f) modifying the assessments based on analysis and expert opinion. A task force,…
Descriptors: Expertise, Evidence, Physical Education, Elementary Education
Zhu, Weimo; Rink, Judy; Placek, Judith H.; Graber, Kim C.; Fox, Connie; Fisette, Jennifer L.; Dyson, Ben; Park, Youngsik; Avery, Marybell; Franck, Marian; Raynes, De – Measurement in Physical Education and Exercise Science, 2011
New testing theories, concepts, and psychometric methods (e.g., item response theory, test equating, and item bank) developed during the past several decades have many advantages over previous theories and methods. In spite of their introduction to the field, they have not been fully accepted by physical educators. Further, the manner in which…
Descriptors: Physical Education, Quality Control, Psychometrics, Item Response Theory
Myers, Nicholas D.; Brincks, Ahnalee M.; Beauchamp, Mark R. – Measurement in Physical Education and Exercise Science, 2010
The primary purpose of this tutorial is to succinctly review some options for, and consequences of, centering Level 1 predictors in commonly applied cross-sectional two-level models. It is geared toward both practitioners and researchers. A general understanding of multilevel modeling is necessary prior to understanding the subtleties of centering…
Descriptors: Models, Statistical Analysis, Predictor Variables, Athletes
Dietrich, Hanno; Ehrlenspiel, Felix – Measurement in Physical Education and Exercise Science, 2010
Cognitive models postulate that respondents to a questionnaire follow a four-stage process when answering a question: comprehension, memory retrieval, decision, and response. Cognitive interviewing is a qualitative tool to gain insight into this process by means of letting respondents think aloud or asking them specific questions (Willis, 2005).…
Descriptors: Interviews, Questionnaires, Cognitive Processes, Protocol Analysis
Baumgartner, Ted A. – Measurement in Physical Education and Exercise Science, 2009
Practitioners can benefit from using norms, but they often have to develop their own percentile rank and percentile norms. This article is a tutorial on how to quickly and easily calculate percentile rank and percentile norms using SPSS, and this information is presented for a data set. Some issues in calculating percentile rank and percentile…
Descriptors: Norms, Mathematical Concepts, Physical Education, Computer Software
Silverman, Stephen; Keating, Xiaofen Deng; Phillips, Sharon R. – Measurement in Physical Education and Exercise Science, 2008
This article addresses ways in which fitness tests can be used positively in physical education. We take the position throughout the article that fitness tests should be used as formative evaluation to further educational goals. We begin by discussing the different ways in which adults and children use fitness tests. The next section, the heart of…
Descriptors: Physical Education, Student Attitudes, Formative Evaluation, Testing
Mahar, Matthew T.; Rowe, David A. – Measurement in Physical Education and Exercise Science, 2008
Accurate measures of youth fitness are needed by researchers and practitioners. Evidence of validity and reliability are essential before results of youth fitness tests can be used to make sound decisions. This article describes a three-stage paradigm for validation research and provides guidance for conducting and understanding norm-referenced…
Descriptors: Test Reliability, Test Validity, Guidelines, Physical Education Teachers
Wiersma, Lenny D.; Sherman, Clay P. – Measurement in Physical Education and Exercise Science, 2008
While physical fitness testing has the potential to invoke embarrassment and anxiety, strategies can be developed that can motivate students to exert maximal effort, provide positive feedback on skill improvement, and encourage students to set fitness goals that can be achieved through developmentally appropriate physical activities. The purpose…
Descriptors: Feedback (Response), Educational Strategies, Physical Activities, Incentives
Welk, Gregory J. – Measurement in Physical Education and Exercise Science, 2008
The emphasis in public health on lifestyle physical activity in recent years has focused attention on the promotion of lifetime physical activity as the primary objective of physical education. If used properly, physical activity and physical fitness assessments can enhance individual promotion of physical activity and also provide valuable…
Descriptors: Physical Education, Physical Activities, Public Health, Physical Fitness
Looney, Marilyn A. – Measurement in Physical Education and Exercise Science, 2008
Use of the internet in today's culture, by young and old alike, is prevalent and continues to increase. Tasks commonly performed via the internet include sharing information, purchasing goods and services, delivering educational courses, and conducting survey research. The purpose of this article is to illustrate how the use of an online survey…
Descriptors: Feedback (Response), Confidentiality, Internet, Computer Assisted Testing
Vanderburgh, Paul M.; Laubach, Lloyd L. – Measurement in Physical Education and Exercise Science, 2007
The adverse effect of increasing age and/or body weight on distance run performance has been well documented. Accordingly, nearly all five kilometer (5K) road races employ age categories and, sometimes, a heavier body weight classification. Problems with such conventions include small numbers of runners within older age categories and the…
Descriptors: Physiology, Physical Activities, Body Weight, Models
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