Borgo / Soranzo / Grassi MATLAB for Psychologists

1. Auflage 2012
ISBN: 978-1-4614-2197-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 293 Seiten

This concise volume shows how to use MATLAB in experimental psychology research, for such tasks as programming experiments, creating sensory stimuli, running simulations, calculating statistics, or biosignal processing. Includes examples and graphics.

Mauro Borgo received his B.A. and his Ph.D. in Electronic and Telecommunication Engineer in 1999 and in 2003 respectively, both from the University of Padova, Italy.  His interests are in signal and data processing for wireless communication. He adapted his competences of signal processing to the multi-sensor/actuators cells systems. He has an international patent on 'Multi site- Single CellElectroporation'. He was a lecturer in 'Electrical communication' and in 'Matlab' at the University of Padova(Italy).

Alessandro Soranzo received his B.A. in Experimental Psychology in 1999 and his Ph.D. in Experimental Psychology in 2004, both from the University of Trieste, Italy. He also did a Post-doc in Vision Sciences at Glasgow Caledonian University (Glasgow, UK). He is senior lecturer in Cognitive Psychology at Teesside University in Middlesbrough (UK). His research interests are in colour perception and psychophysical methods.

Massimo Grassi received his B.A. in Experimental Psychology in 1997 and his Ph.D. in Experimental Psychology in 2003, both from the University of Padova (Italy). He has also been a Visiting Scientist at University of Sussex (UK). He is lecturer in Sensation and Perception at University of Padova (Italy). His research interests are in sound perception, crossmodal perception, and psychophysical methods.

Autoren/Hrsg.

Borgo, Mauro

Soranzo, Alessandro

Grassi, Massimo

Inhaltsverzeichnis

1;MATLAB for Psychologists;3
1.1;Preface;7
1.2;Acknowledgments;9
1.3;Contents;11
1.4;Chapter 1: Basic Operations;17
1.4.1;Variables;21
1.4.2;Thinking in a Matrix Way;24
1.4.3;Operations;31
1.4.4;Summary;33
1.4.5;Exercises;34
1.4.6;A Brick for an Experiment;36
1.4.7;References;39
1.4.7.1;Suggested Readings;39
1.5;Chapter 2: Data Handling;40
1.5.1;Types of Variables (Logical Values, Strings, NaN, Structures, Cells);40
1.5.1.1;Logical Variables;40
1.5.1.2;Strings;46
1.5.1.3;NaN;50
1.5.1.4;Structures;50
1.5.1.4.1;Dynamic Field Names;52
1.5.1.5;Cells;53
1.5.2;Import/Export;55
1.5.3;Summary;57
1.5.4;Exercises;58
1.5.5;A Brick for an Experiment;59
1.5.5.1;Read the Results;59
1.5.6;Reference;61
1.5.6.1;Suggested Readings;61
1.6;Chapter 3: Plotting Data 1;62
1.6.1;Plot Data;62
1.6.2;Control the Plot’s Objects: Labels, Legend, Title…;65
1.6.3;Subplot: Multiple Plots in One Figure;67
1.6.4;3-D Plots;71
1.6.5;Printing and Saving Images;73
1.6.6;Handle Graphics;73
1.6.7;Summary;76
1.6.8;Exercises;77
1.6.9;A Brick for an Experiment;79
1.6.9.1;Plot the Results;79
1.6.10;Reference;80
1.6.10.1;Suggested Readings;80
1.7;Chapter 4: Start Programming;81
1.7.1;M-Scripts and Functions;81
1.7.2;Control Flow Statements;84
1.7.2.1;Cycles and Conditionals: If;84
1.7.2.2;Switch Case;86
1.7.2.3;For Loops;88
1.7.2.3.1;Analysis;90
1.7.2.4;While;92
1.7.2.4.1;Analysis;93
1.7.2.4.2;Analysis;94
1.7.2.5;Break;95
1.7.2.6;Try–Catch;96
1.7.2.7;Loops Versus Matrices and If Versus Logicals;96
1.7.3;Functions;97
1.7.3.1;Scope of Variables;100
1.7.3.1.1;Analysis;100
1.7.3.2;Change the Number of Inputs and Outputs;101
1.7.3.2.1;Analysis;103
1.7.4;More on Data Import/Export: Script Examples;104
1.7.4.1;Analysis;109
1.7.5;Guidelines for a Good Programming Style;110
1.7.5.1;Writing Code;110
1.7.5.2;Debug;112
1.7.6;Summary;114
1.7.7;Exercises;115
1.7.8;A Brick for an Experiment;116
1.7.8.1;Analysis;118
1.7.9;References;120
1.7.9.1;Suggested Readings;120
1.8;Chapter 5: A Better Sound;121
1.8.1;Generate a Sound;121
1.8.2;Multiple Sounds;126
1.8.3;Manipulating a Sound’s Level;128
1.8.3.1;Match the Level of Sound with Different Waveforms;129
1.8.3.1.1;Analysis;129
1.8.4;Stereophonic Sounds for ITD and ILD 3;130
1.8.5;A Sound’s Envelope;132
1.8.6;Sound Filtering;134
1.8.7;Sound Analysis;137
1.8.8;Summary;139
1.8.9;Exercises;139
1.8.10;A Brick for an Experiment;140
1.8.11;References;141
1.8.11.1;Suggested Readings;142
1.9;Chapter 6: Create and Proccess Images 1;143
1.9.1;Images Basics;143
1.9.1.1;Importing and Exporting Images;146
1.9.1.2;Display Images;148
1.9.2;Basic Manipulation of Images;149
1.9.3;Point Operations;150
1.9.3.1;Intensity Transformation;150
1.9.3.2;Windowing;152
1.9.4;Neighborhood Processing;154
1.9.4.1;The Edges of the Image;158
1.9.5;Advanced Image Processing;158
1.9.6;Creating Images by Computation;158
1.9.7;Summary;163
1.9.8;Exercises;164
1.9.9;References;165
1.9.9.1;Suggested Readings;166
1.10;Chapter 7: Data Analysis;167
1.10.1;Descriptive Statistics;167
1.10.1.1;Measures of Central Tendency;167
1.10.1.2;Measures of Dispersion;168
1.10.2;Bivariate and Multivariate Descriptive Statistics;169
1.10.2.1;Covariance;170
1.10.2.2;Simple and Multiple Linear Regression;170
1.10.2.3;Generalized Linear Model;174
1.10.3;Inferential Statistics;176
1.10.3.1;Parametric Statistics;176
1.10.3.1.1;Assessing the Parametric Assumptions;176
1.10.3.1.2;z -Test;176
1.10.3.2;t -Test;177
1.10.3.2.1;One-Sample t -Test;177
1.10.3.2.2;Two-Sample t -Test;178
1.10.3.3;ANOVA;180
1.10.3.3.1;One-Way ANOVA;180
1.10.3.3.2;Two- and n-Way ANOVA;183
1.10.3.3.3;anovan();185
1.10.3.3.3.1;Example;185
1.10.3.3.4;One-Way Repeated-Measure ANOVA Analysis with anova1();187
1.10.3.3.4.1;Two-Way Repeated-Measure ANOVA;187
1.10.3.3.4.2;Three-Way Mixed-Measures ANOVA;188
1.10.4;Nonparametric Statistics;191
1.10.4.1;Categorical Data;191
1.10.4.1.1;Binomial Distribution;191
1.10.4.1.1.1;Chi2;192
1.10.4.2;Ordinal Data;193
1.10.4.2.1;Wilcoxon Signed Rank Test;193
1.10.4.2.2;Mann–Whitney U Test (or Wilcoxon Rank Sum Test);194
1.10.4.2.3;Kruskal–Wallis Test;194
1.10.4.2.4;Friedman’s Test;195
1.10.4.3;Signal-Detection Theory (STD) Indexes;196
1.10.4.3.1;d';197
1.10.4.3.2;b;197
1.10.4.3.3;c;197
1.10.4.3.4;A' and B?;197
1.10.5;Summary;198
1.10.6;Exercises;199
1.10.7;A Brick for an Experiment;200
1.10.8;References;201
1.10.8.1;Suggested Readings;201
1.11;Chapter 8: The Charm of Graphical User Interface;202
1.11.1;Introduction;202
1.11.2;GUIDE;202
1.11.2.1;Starting GUIDE;203
1.11.3;The GUI Toolbar;203
1.11.3.1;Adding UiControls to the GUI;204
1.11.3.2;Closing the GUI;206
1.11.4;Controlling UiControls from Other UiControls;209
1.11.4.1;The Sum-Two-Numbers Example;209
1.11.4.2;Displaying Graphs and Figures in the GUI;215
1.11.5;Saving User Input;217
1.11.5.1;Adding Your Own Functions;220
1.11.5.1.1;Summary;220
1.11.5.1.2;Exercises;220
1.11.5.1.2.1;Exercise 1;220
1.11.5.1.2.2;Solution;220
1.11.5.1.2.3;Exercise 2;221
1.11.5.1.2.4;Solution;222
1.11.6;A Brick for an Experiment;225
1.11.7;Appendix;228
1.11.7.1;The File Menu;229
1.11.7.2;The Edit Menu;229
1.11.7.3;The View Menu;230
1.11.7.4;The Layout Menu;230
1.11.7.5;Tools Menu;231
1.11.7.6;Help;231
1.11.8;Preferences for GUIDE;232
1.11.8.1;Backward Compatibility;233
1.11.8.2;Other Preferences;234
1.11.9;Suggested Readings;234
1.12;Chapter 9: Psychtoolbox: Video;235
1.12.1;The Screen Function;235
1.12.1.1;Analysis;237
1.12.2;How to Use Screen to Get Information;237
1.12.3;How to Use Screen to Draw Figures;239
1.12.3.1;Preliminary Notions: Drawing Figures in Three Steps—Opening, Drawing, and Closing;239
1.12.3.2;Opening the Window;239
1.12.3.3;Drawing: An Introduction;241
1.12.3.4;Closing;242
1.12.4;Drawing: Reprise;242
1.12.4.1;Analysis;243
1.12.4.2;Drawing Shapes;243
1.12.5;Batch Processing: Drawing Multiple Figures at Once;247
1.12.6;Drawing Text;248
1.12.7;Importing Images;250
1.12.7.1;Analysis;251
1.12.8;Video Clips;252
1.12.8.1;Analysis;252
1.12.8.2;Analysis;253
1.12.9;Drawing Things at the Right Time;253
1.12.9.1;Analysis;255
1.12.10;Summary;255
1.12.11;Exercises;256
1.12.11.1;Exercise 1;256
1.12.11.2;Solution 1;256
1.12.11.3;Exercise 2;256
1.12.11.4;Solution 2;257
1.12.12;A Brick for an Experiment;257
1.12.13;References;260
1.12.13.1;Suggested Readings;260
1.13;Chapter 10: Psychtoolbox: Sound, Keyboard and Mouse;261
1.13.1;Timing;261
1.13.2;Priority;262
1.13.3;Sound Functions;263
1.13.4;Getting Participants’ Inputs: Keyboard and Mouse Functions;265
1.13.4.1;Keyboard Response;265
1.13.4.2;“Press Any Key to Proceed”;266
1.13.4.3;“Press the Spacebar to Proceed”;266
1.13.4.4;“Press Any Key to Respond”;268
1.13.4.5;Reaction-Time Detection;268
1.13.4.6;Choice Reaction Time;270
1.13.4.7;Go/No-Go Reaction Time;271
1.13.4.8;Reaction Times Within a Video Clip;272
1.13.4.9;Mouse Input;274
1.13.5;Using Participants’ Input to Manipulate Shape Characteristics;275
1.13.5.1;Keyboard Manipulations;276
1.13.5.1.1;Analysis;277
1.13.5.2;Placing Discs with the Mouse;278
1.13.5.2.1;Analysis;279
1.13.6;Summary;279
1.13.7;Exercises;280
1.13.7.1;Exercise 1;280
1.13.7.2;Solution;280
1.13.7.2.1;Analysis;281
1.13.8;A Brick for an Experiment;281
1.13.9;References;284
1.13.9.1;Suggested Readings;285
1.14;About the Authors;286
1.15;Index;287