Statistics in kinesiology:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Champaign, Ill. [u.a.]
Human Kinetics
1999
|
| Edition: | 2. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XVII, 292 S. Ill., graph. Darst. |
| ISBN: | 0736001484 |
Staff View
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Record in the Search Index
| _version_ | 1804138611948388352 |
|---|---|
| adam_text | Contents
Preface xiii
Acknowledgments xv
List of Key Symbols xvi
Chapter 1 Measurement, Statistics, and Research 1
What Is Measurement? 2
The Process of Measurement 3
Variables and Constants 4
Types of Variables 5
Classification of Data 5
Research Design and Statistical Analysis 7
Hypothesis Testing 8
Independent and Dependent Variables 8
Validity 10
Statistical Inference 11
Parameters and Statistics 12
Probability and Hypothesis Testing 13
Theories and Hypotheses 14
Misuse of Statistics 14
Summary 15
Problems to Solve 16
Key Words in This Chapter 16
Chapter 2 Organizing and Displaying Data 17
Organizing Data 18
Rank Order Distribution 18
Simple Frequency Distribution 19
Grouped Frequency Distribution 20
Displaying Data 24
Graphs 24
Curves 27
Summary 31
Problems to Solve 32
Key Words in This Chapter 32
Chapter 3 Percentiles 33
Common Percentile Divisions 36
; vii
viii Contents Calculations Using Percentiles 37
Rank Order Distributions 37
Simple Frequency Distributions 39
Grouped Frequency Distributions 41
Summary 42
Problems to Solve 43
Key Words in This Chapter 44
Chapter 4 Measures of Central Tendency 45
The Mode 46
The Median 46
The Mean 47
Calculating the Mean 48
Relationships Among the Mode, Median, and Mean 50
Summary 51
Problems to Solve 52
Key Words in This Chapter 52
Chapter 5 Measures of Variability 53
Range 54
Interquartile Range 54
Variance 55
Standard Deviation 56
The Definition Method 57
The Raw Score Method 58
Calculating Standard Deviation for a Sample 60
Choosing the Appropriate Formula 63
Summary 64
Problems to Solve 65
Key Words in This Chapter 65
Chapter 6 The Normal Curve and Sampling Error 67
Z Scores 68
Converting Z Scores to Percentile Scores 70
Standard Scores 71
Percentiles 71
Z Scores 71
T Scores 72
Stanines 73
Predicting Population Parameters Using Statistical Inference 75
Estimating Sampling Error 75
Contents ix
Levels of Confidence and Probability of Error 78
An Example Using Statistical Inference 80
Calculating Skewness and Kurtosis 80
Summary 84
Problems to Solve 84
Key Words in This Chapter 85
Chapter 7 Correlation, Bivariate Regression, and Multiple Regression 87
Correlation 88
Calculating the Correlation Coefficient 92
The Mean/Standard Deviation Formula 94
The Machine Formula 96
Selecting the Correct Formula 96
Evaluating the Size of the Correlation Coefficient 97
Determining the Significance of the Correlation Coefficient 98
Bivariate Regression 100
Determining Error in Prediction 103
Multiple Regression 106
An Example From Exercise Physiology 109
Some Cautions and Assumptions 111
Summary 112
Problems to Solve 113
Key Words in Thi s Chapter 116
Chapter 8 The t Test: Comparing Means From Two Sets of Data 117
t Tests 118
Evaluating Z 119
Evaluating t From a Single Sample 119
Assumptions for the / Test 120
An Example From Physical Education 120
Comparing Two Independent Samples (A Between Comparison) 122
Standard Error of the Difference 124
The t Test With Unequal Values of N 128
Repeated Measures Design (A Within Comparison) 129
Correction for Correlated Samples 130
The Magnitude of the Difference (Size of Effect) 133
Type I and Type II Errors 134
Two- and One-Tailed Tests 136
Two-Tailed Test 136
One-Tailed Test 137
Determining Power and Sample Size 138
Calculating Power 140
Calculating Sample Size 141
x Contents The t Test for Proportions 143
An Example From Administration 143
An Example Comparing Two Proportions 144
Summary 145
Problems to Solve 146
Key Words in This Chapter 148
Chapter 9 Simple Analysis of Variance: Comparing Means
Among Three or More Sets of Data 149
Assumptions in ANOVA 152
Sources ofVariance 153
Sum of Squares and Mean Square 154
Calculating F 155
The Definition Method 156
The Raw Score Method 158
Determining the Significance of F 160
Post Hoc Tests 161
Scheffe s Confidence Interval (I) 161
Tukey s Honestly Significant Difference (HSD) 163
Concluding Statement Regarding Post Hoc Tests 165
The Magnitude of the Treatment (Size of Effect) 165
R2 165
Omega Squared (to2) 166
Summary 168
Problems to Solve 169
Key Words in This Chapter 170
Chapter 10 Analysis of Variance With Repeated Measures 171
Assumptions in Repeated Measures ANOVA 172
Calculating Repeated Measures ANOVA 173
Steps in Calculation 174
Determining the Significance of F 178
Correcting for Violations of the Assumption of Sphericity 178
The Greenhouse-Geisser Adjustment 178
The Huynh-Feldt Adjustment 178
Post Hoc Tests 180
Interpreting the Results 181
An Example From Leisure Studies/Recreation 181
Intraclass Reliability 182
Interpreting Intraclass Reliability 185
Summary 185
Problems to Solve 186
Key Words in This Chapter 187
Contents xi
Chapter 11 Factorial Analysis of Variance 189
A Between-Between Example 194
Steps in the Analysis 195
Interpreting the Results 197
The Magnitude of the Treatment (Size of Effect) 199
Conclusions 200
A Between-Within Example 201
Steps in the Analysis 203
The Magnitude of the Treatment (Size of Effect) 207
Conclusions 207
A Within-Within Example 208
Step Down Analysis 210
Conclusions 210
Summary 211
Key Words in This Chapter 211
Chapter 12 Advanced Statistical Procedures 213
Analysis of Covariance 214
Assumptions and Cautions 215
Multiple Analysis of Variance 216
Assumptions and Cautions 218
Interpreting the Results 219
Factor Analysis 220
Assumptions and Cautions 222
Discriminant Analysis 222
Assumptions and Cautions 223
Summary 223
Key Words in This Chapter 224
Chapter 13 Analysis of Nonparametric Data 225
Chi-Square (Single Classification) 226
An Example From Administration 227
Chi-Square (Two or More Classifications) 228
An Example From Motor Behavior 228
Limitations of Chi-Square 231
Rank Order Correlation 231
An Example From Physical Education 232
Mann-Whitney U Test 233
An Example From Motor Learning 234
Comparing Groups With Small Values of N 236
Kruskal-Wallis ANOVA for Ranked Data 236
An Example From Athletic Training 236
xii Contents Friedman s Two-Way ANOVA by Ranks 239
An Example From Physical Education 239
Summary 240
Problems to Solve 241
Key Words in This Chapter 242
Appendix A Statistical Tables 243
Appendix B Raw Data 261
Appendix C Answers to Problems 265
Glossary 275
References 285
Index 287
About the Author 293
|
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| dewey-search | 613.7 |
| dewey-sort | 3613.7 |
| dewey-tens | 610 - Medicine and health |
| discipline | Sport Medizin |
| edition | 2. ed. |
| format | Book |
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| spelling | Vincent, William J. Verfasser aut Statistics in kinesiology William J. Vincent 2. ed. Champaign, Ill. [u.a.] Human Kinetics 1999 XVII, 292 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Cinésiologie - Méthodes statistiques Cinésiologie - Recherche - Méthodologie Statistique - Méthodologie Statistik Kinesiology Research Methodology Kinesiology Statistical methods Statistics Bewegungslehre (DE-588)4069421-5 gnd rswk-swf Forschungsmethode (DE-588)4155046-8 gnd rswk-swf Sportwissenschaft (DE-588)4056442-3 gnd rswk-swf Trainingslehre (DE-588)4185849-9 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Anwendung (DE-588)4196864-5 gnd rswk-swf Bewegungslehre (DE-588)4069421-5 s Statistik (DE-588)4056995-0 s Anwendung (DE-588)4196864-5 s 1\p DE-604 Forschungsmethode (DE-588)4155046-8 s 2\p DE-604 Trainingslehre (DE-588)4185849-9 s 3\p DE-604 Sportwissenschaft (DE-588)4056442-3 s 4\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017113393&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Vincent, William J. Statistics in kinesiology Cinésiologie - Méthodes statistiques Cinésiologie - Recherche - Méthodologie Statistique - Méthodologie Statistik Kinesiology Research Methodology Kinesiology Statistical methods Statistics Bewegungslehre (DE-588)4069421-5 gnd Forschungsmethode (DE-588)4155046-8 gnd Sportwissenschaft (DE-588)4056442-3 gnd Trainingslehre (DE-588)4185849-9 gnd Statistik (DE-588)4056995-0 gnd Anwendung (DE-588)4196864-5 gnd |
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| title | Statistics in kinesiology |
| title_auth | Statistics in kinesiology |
| title_exact_search | Statistics in kinesiology |
| title_full | Statistics in kinesiology William J. Vincent |
| title_fullStr | Statistics in kinesiology William J. Vincent |
| title_full_unstemmed | Statistics in kinesiology William J. Vincent |
| title_short | Statistics in kinesiology |
| title_sort | statistics in kinesiology |
| topic | Cinésiologie - Méthodes statistiques Cinésiologie - Recherche - Méthodologie Statistique - Méthodologie Statistik Kinesiology Research Methodology Kinesiology Statistical methods Statistics Bewegungslehre (DE-588)4069421-5 gnd Forschungsmethode (DE-588)4155046-8 gnd Sportwissenschaft (DE-588)4056442-3 gnd Trainingslehre (DE-588)4185849-9 gnd Statistik (DE-588)4056995-0 gnd Anwendung (DE-588)4196864-5 gnd |
| topic_facet | Cinésiologie - Méthodes statistiques Cinésiologie - Recherche - Méthodologie Statistique - Méthodologie Statistik Kinesiology Research Methodology Kinesiology Statistical methods Statistics Bewegungslehre Forschungsmethode Sportwissenschaft Trainingslehre Anwendung |
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