Introduction to Statistics in Human Performance

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A01=Dale Mood
A01=James Morrow
A01=Matthew McQueen
ACB
advanced statistics
anova
ANOVA Design
ANOVA Output
applied statistical analysis in kinesiology
athletic training analysis
Author_Dale Mood
Author_James Morrow
Author_Matthew McQueen
BMI Score
Category=PBT
Category=SC
correlation
Dale P. Mood
Data Set
descriptive statistics
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_sports-fitness
exercise science data
experimental design techniques
Factorial ANCOVA
Factorial ANOVA
Factorial MANCOVA
Grouped Frequency Distribution
human performance
Hypothetical Sampling Distribution
Immediately Post
Independent Groups
inferential statistics
introduction to statistics
James R. Morrow Jr
Jr.
manova
Matthew McQueen
Multiple ANOVAs
Multiple Comparison Procedure
Multiple Comparison Technique
Multivariate ANOVA
nonparametric statistics
normal curve
Null Hypothesis
Pearson Product Moment Correlation Coefficient
physical therapy statistics
Post Hoc
quantitative research methods
R
regression
Repeat Measure ANOVA
Repeat Measure ANOVA Analysis
research methods
Spearman Rank Order Correlation
Sphericity Assumption
sports and health sciences
sports science measurement
SPSS
SPSS & R package
standard scores
statistical problems
statistics in exercise science
statistics in human performance
statistics in kinesiology
stats
t-tests
Univariate ANOVA
Univariate ANOVA Result

Product details

  • ISBN 9780815381198
  • Weight: 453g
  • Dimensions: 178 x 254mm
  • Publication Date: 23 Jul 2019
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: Using SPSS and R provides students facing statistical problems for the first time with an accessible and informal introduction to the key concepts and procedures of statistical analysis.

Now in its second edition, the book covers processes involved in using both SPSS and R, and includes chapters on:

  • research methods
  • descriptive statistics
  • the normal curve and standard scores
  • correlation and regression
  • inferential statistics introduction
  • issues in inferential statistics
  • t-tests
  • anova, factorial anova and manova
  • advanced statistics, and
  • nonparametric statistics

Including examples relevant to the field, review questions, practice computer problems and activities throughout, and online materials including step-by-step video guides, data tables for importing into computer activities, a bank of possible test questions, and PowerPoint® slides, the book offers students all the tools they need to understand statistical concepts in sport and exercise. This is a vital resource for any students of sport and exercise science, kinesiology, physical therapy, athletic training, and fitness and health taking classes in statistics.

Dale P. Mood is a Professor Emeritus at the University of Colorado, USA, where he taught for 47 years in the Department of Integrative Physiology. He is a former Department Chair, Associate Dean for Student Academic Affairs, coordinator of the Responsible Conduct of Research program on the Boulder campus and interim Director of the Post Baccalaureate Pre-Medical program. He has authored five textbooks, three book chapters, nearly 50 articles, and he has presented both nationally and internationally in the areas of measurement and research.

James R. Morrow, Jr. is a Regents Professor Emeritus in the Department of Kinesiology, Health Promotion, and Recreation at the University of North Texas, USA. He has authored more than 200 peer-reviewed manuscripts and five books, and he has made nearly 300 professional presentations. He received the 2011 President’s Council on Fitness, Sports & Nutrition Honor Award. His teaching and research focus on measurement issues related to physical fitness and activity assessment.

Matthew B. McQueen is the founding Director of the Public Health Certificate Program and teaches introduction to epidemiology for undergraduate students as well as advanced biostatistics for graduate students at the University of Colorado Boulder. Dr. McQueen’s research objectives are focused on the development and application of epidemiological and biostatistical methods to advance our understanding of human disease from genes to populations. His research program is highly interdisciplinary involving studies of genetics and the microbiome, cardiometabolic disease, substance abuse as well as neurological studies of Alzheimer’s disease and mild traumatic brain injury.

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