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Statistical Testing with jamovi for Sport

Exercises and case studies

Chapter 8 in the book contains basic exercises covering all of Section 2. Diverse tutors, however, have asked for traditional chapter by chapter exercises, hence the table immediately below. Further down the page, case studies are presented for readers who have finished reading the whole book, or their tutors.

Exercises

These chapter by chapter exercises have been contributed by Marianne Vitug. For each chapter is a document with the questions, and one with the answers, with relevant spreadsheet files (with the .csv suffix). Each page opens in a new tab of your browser.

Ch 2 Research design Questions Answer self-entry
Ch 3 Descriptive statistics Questions Answers data file 0
Ch 4 Null hypothesis significance testing Questions Answers data file 0
Ch 5 Tests of differences Questions Answers data file 1
Ch 5 Tests of differences data file 2
Ch 5 Tests of differences data file 3
Ch 5 Tests of differences data file 4
Ch 6 Tests of relationships Questions Answers data file
Ch 7 Categorical analyses Questions Answers data file
Ch 10 Factorial ANOVA Questions Answers data file 1
Ch 10 Factorial ANOVA data file 2
Ch 10 Factorial ANOVA data file 3
Ch 11 ANCOVA Questions Answers data file
Ch 12 MANOVA Questions Answers data file
Ch 13 PCA and factor analysis Questions Answers data file 1
Ch 13 PCA and factor analysis data file 2
Ch 14 Logistic regression Questions Answers data file
Ch 15 Partial correlations Questions Answers data file
Ch 17 Bayesian statistics Questions Answers data file
Ch 18 Survival analysis (Kaplan-Meier) Questions Answers data file
Ch 19 Cluster analysis Questions Answers data file

Case studies

There are potential answers to each of these, but it may be a better learning experience for students and/or their tutors to do some wrangling.

You have a selection of different measures derived from studies of foul play. Are there different categories of offender attitudes to contravention?

Looking at a battery of results from different measures of athletic performance, you wish to see if a particular model is especially robust.

You have a wealth of quantitative data on attitudes to performance-enhancing drugs. You believe that they have a substantial impact on locker room culture, personal instability and attitudes to sports authorities.

Is a particular type of sport rehabilitation likely to differ in its effectiveness depending on different types of accompanying psychological problem? For example, if graded activity were to be used rather than manual therapy, would it have very different effects on people whose accompanying symptoms were alcoholism, gambling addiction and depression? Age, ethnicity and gender may affect the classification.

You are interested in the willingness of students to participate in sports. Which psychological attributes tend to be associated with keen, apathetic and hostile attitudes? You may wish to consider attributes such as the number of fellow students with similar attitudes, the age and gender of the respondents.

What characteristics typify different levels of coaching success? Include gender and other demographic data as well as measurable attributes.

You are interested in how long it takes footballers to recover from severe sprains. Are there differences between age groups, or ethnicity, or attitudes to problems, or whether or not players have been taking performance-enhancing drugs?

Are schoolchildren in ability groupings more likely to develop sporting skills better than those in mixed ability groupings. Does gender have a part to play?

Each year, over three years, a different coaching approach is used with groups of students with learning disabilities. Each method is used within three different sports (no individual student is a participant in more than one of these sports). By the end of the period, each group of students would have experienced all of the methods.

Coaches try out three different coaching methods for improving the swimming techniques of students. Which works best, and are the differences dependent on coaches' personal attributes? (Or, perhaps, the swimmers' attributes.)

Are there particular types of athlete who are more likely to succumb to the temptations of doping? (Assume no knowledge of the topic.)

Statistics without Mathematics series - General Editor: Cole Davis

ISBN numbers: Hardback - 978-1-915500-21-2 Paperback - 978-1-915500-22-9
                         Ebook - 978-1-915500-23-6

statistics for sport - don't panic!