Experiment!
Planning, Implementing and Interpreting
1. Auflage Juli 2012
288 Seiten, Softcover
Praktikerbuch
Kurzbeschreibung
An intuitive understanding of the experimental method usually evolves through years of trial and error. This book speeds up the journey for the reader to becoming a proficient experimenter. It provides a general introduction to the scientific approach, describes the processes and tools required, including the relevant statistical and experimental methods, and lastly, leads the reader through the three phases of an experiment: planning, data collection, and analysis and synthesis. A unique introduction to the methodology and implementation of experiments in the natural, engineering, and medical sciences.
Experiments are the most effective way to learn about the world. By cleverly interfering with something to see how it reacts we are able to find out how it works. In contrast to passive observation, experimenting provides us with data relevant to our research and thus less time and effort is spent separating relevant from irrelevant information.
The art of experimentation is often learnt by doing, so an intuitive understanding of the experimental method usually evolves gradually through years of trial and error. This book speeds up the journey for the reader to becoming a proficient experimenter.
Organized in two parts, this unique text begins by providing a general introduction to the scientific approach to experimentation. It then describes the processes and tools required, including the relevant statistical and experimental methods. Towards the end of the book a methodology is presented, which leads the reader through the three phases of an experiment: 'Planning', 'Data Collection', and 'Analysis and Synthesis'.
Experiment!
* Provides an excellent introduction to the methodology and implementation of experimentation in the natural, engineering and medical sciences
* Puts practical tools into scientific context
* Features a number of selected actual experiments to explore what are the key characteristics of good experiments
* Includes examples and exercises in every chapter
This book focuses on general research skills, such as adopting a scientific mindset, learning how to plan meaningful experiments and understanding the fundamentals of collecting and interpreting data. It is directed to anyone engaged in experiments, especially Ph.D. and masters students just starting to create and develop their own experiments.
Part One Understanding the World
1 You, the Discoverer 3
1.1 Venturing into the Unknown 4
1.2 Embarking on a Ph.D 5
1.3 The Art of Discovery 5
1.4 About this Book 7
1.5 How to Use this Book 8
Further Reading 10
References 10
2 What is Science? 11
2.1 Characteristics of the Scientific Approach 11
2.2 The Inductive Method 14
2.3 The Hypothetico-Deductive Method 16
2.4 Consequences of Falsification 19
2.5 The Role of Confirmation 21
2.6 Perception is Personal 23
2.7 The Scientific Community 29
2.8 Summary 30
Further Reading 31
References 31
3 Science's Childhood 33
3.1 Infancy 33
3.2 Ionian Dawn 34
3.3 Divine Mathematics 38
3.4 Adolescence - Revolution! 41
3.5 The Children of the Revolution 47
3.6 Summary 50
Further Reading 50
References 51
4 Science Inclined to Experiment 53
4.1 Galileo's Important Experiment 54
4.2 Experiment or Hoax? 56
4.3 Reconstructing the Experiment 58
4.4 Getting the Swing of Things 60
4.5 The Message from the Plane 62
4.6 Summary 63
References 64
5 Scientists, Engineers and Other Poets 65
5.1 Research and Development 65
5.2 Characteristics of Research 68
5.3 Building Theories 70
5.4 The Relationship between Theory and Reality 75
5.5 Creativity 77
5.6 Summary 79
Further Reading 80
References 80
Part Two Interfering with the World
6 Experiment! 83
6.1 What is an Experiment? 83
6.2 Questions, Answers and Experiments 85
6.3 A Gallery of Experiments 88
6.4 Reflections on the Exhibition 108
6.5 Summary 110
Further Reading 110
References 112
7 Basic Statistics 113
7.1 The Role of Statistics in Data Analysis 113
7.2 Populations and Samples 115
7.3 Descriptive Statistics 116
7.4 Probability Distribution 122
7.5 The Central Limit Effect 126
7.6 Normal Probability Plots 129
7.7 Confidence Intervals 132
7.8 The t-Distribution 134
7.9 Summary 136
Further Reading 137
References 138
8 Statistics for Experiments 139
8.1 A Teatime Experiment 139
8.2 The Importance of Randomization 141
8.3 One-Sided and Two-Sided Tests 142
8.4 The t-Test for One Sample 143
8.5 The Power of a Test 148
8.6 Comparing Two Samples 150
8.7 Analysis of Variance (ANOVA) 155
8.8 A Measurement System Analysis 159
8.9 Other Useful Hypothesis Tests 163
8.10 Interpreting p-Values 164
8.11 Correlation 165
8.12 Regression Modeling 167
8.13 Summary 171
Further Reading 172
References 173
9 Experimental Design 175
9.1 Statistics and the Scientific Method 175
9.2 Designs with One Categorical Factor 176
9.3 Several Categorical Factors: the Full Factorial Design 178
9.4 Are Interactions Important? 186
9.5 Factor Screening: Fractional Factorial Designs 187
9.6 Determining the Confounding Pattern 188
9.7 Design Resolution 190
9.8 Working with Screening Designs 191
9.9 Continuous Factors: Regression and Response Surface Methods 195
9.10 Summary 207
Further Reading 208
References 209
10 Phase I: Planning 211
10.1 The Three Phases of Research 211
10.2 Experiment 1: Visual Orientation in a Beetle 213
10.3 Experiment 2: Lift-Off Length in a Diesel Engine 216
10.4 Finding Out What is Not Known 218
10.5 Determining the Scope 221
10.6 Tools for Generating Hypotheses 222
10.7 Thought Experiments 227
10.8 Planning Checklist 229
10.9 Summary 231
References 233
11 Phase II: Data Collection 235
11.1 Generating Understanding from Data 235
11.2 Measurement Uncertainty 236
11.3 Developing a Measurement System 238
11.4 Measurement System Analysis 244
11.5 The Data Collection Plan 248
11.6 Summary 251
Further Reading 252
References 252
12 Phase III: Analysis and Synthesis 253
12.1 Turning Data into Information 253
12.2 Graphical Analysis 256
12.3 Mathematical Analysis 259
12.4 Writing a Scientific Paper 260
12.5 Writing a Ph.D. Thesis 264
12.6 Farewell 266
12.7 Summary 266
Further Reading 266
References 267
Appendix 269
Standard Normal Probabilities 269
Probability Points for the t-Distribution 270
Index 271
"Provides an excellent introduction to the methodology and implementation of experimentation in the natural, engineering and medical sciences." (Chemistry Views, 20 July 2012)
"I highly recommend the very practical and research skills focused book Experiment!: Planning, Implementing and Interpreting by Oivind Andersson to students from the undergraduate to the doctoral levels, instructors and educators in sciences, practitioners of science in industry and government, and anyone interested in how science works through the scientific method and experimentation. This book is an indispensable guide to planning, designing, conducting, data collecting, and analyzing and synthesizing the results." (Blog Business World, 21 October 2012)
