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Köp båda 2 för 1472 krMichael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human???information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.
Preface ix About the Companion Website xiii 1 Introduction 1 Basis of How All Quantitative Statistical Based Research 1 Data Analysis, Not Statistical Analysis 3 Quantitative Versus Qualitative Research 8 What the Book Covers and What It Does Not Cover 9 Book Structure 10 References 11 Part I Data Analysis Approaches 13 2 Statistics Terminology 15 Statistically Testing a Hypothesis 15 Statistical Significance and p-Value 19 Confidence Intervals 26 Effect Size 27 Statistical Power of a Test 31 Practical Significance Versus Statistical Significance 34 Statistical Independence 34 Degrees of Freedom 36 Measures of Central Tendency 37 Percentile and Percentile Rank 41 Central Limit Theorem 42 Law of Large Numbers 44 References 48 3 Analysis Issues and Potential Pitfalls 49 Effects of Variables 49 Outliers in the Dataset 53 Relationships Between Variables 53 A Single Contradictory Example Does Not Invalidate a Statistical Relationship 60 References 62 4 Graphically Representing Data 63 Data Distributions 63 Bell Curves 64 Skewed Curves 68 Bimodal Distributions 71 Poisson Distributions 75 Binomial Distribution 77 Histograms 79 Scatter Plots 80 Box Plots 81 Ranges of Values and Error Bars 82 References 85 5 Statistical Tests 87 Inter-Rater Reliability 87 Regression Models 92 Parametric Tests 93 Nonparametric Tests 95 One-Tailed or Two-Tailed Tests 96 Tests Must Make Sense 99 References 103 Part II Data Analysis Examples 105 6 Overview of Data Analysis Process 107 Know How to Analyze It Before Starting the Study 107 Perform an Exploratory Data Analysis 108 Perform the Statistical Analysis 109 Analyze the Results and Draw Conclusions 110 Writing Up the Study 111 References 112 7 Analysis of a Study on Reading and Lighting Levels 113 Lighting and Reading Comprehension 113 Know How the Data Will Be Analyzed Before Starting the Study 113 Perform an Exploratory Data Analysis 115 Perform an Inferential Statistical Analysis 122 Exercises 132 8 Analysis of Usability of an E-Commerce Site 135 Usability of an E-Commerce Site 135 Study Overview 135 Know How You Will Analyze the Data Before Starting the Study 136 Perform an Exploratory Data Analysis 138 Perform an Inferential Statistical Analysis 147 Follow-Up Tests 151 Performing Follow-Up Tests 153 Exercises 157 Reference 158 9 Analysis of Essay Grading 159 Analysis of Essay Grading 159 Exploratory Data Analysis 160 Inferential Statistical Data Analysis 165 Exercises 173 Reference 175 10 Specific Analysis Examples 177 Handling Outliers in the Data 177 Floor/Ceiling Effects 182 Order Effects 183 Data from Stratified Sampling 184 Missing Data 184 Noisy Data 186 Transform the Data 187 References 188 11 Other Types of Data Analysis 189 Time-Series Experiment 189 Analysis for Data Clusters 192 Low-Probability Events 193 Metadata Analysis 193 Reference 195 A Research Terminology 197 Independent, Dependent, and Controlled Variables 197 Between Subjects and Within Subjects 199 Validity and Reliability 200 Variable Types 201 Type of Data 201 Independent Measures and Repeated Measures 203 Variation in Data Collection 205 ProbabilityWhat 30% Chance Means 212 References 214 Index 215