Umfang:
Online-Ressource (XV, 283p. 94 illus, digital)
ISBN:
9781461421979
Serie:
SpringerLink
Inhalt:
Massimo Grassi
Inhalt:
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.
Anmerkung:
Description based upon print version of record
,
MATLAB for Psychologists; Preface; Acknowledgments; Contents; Chapter 1: Basic Operations; Variables; Thinking in a Matrix Way; Operations; Summary; Exercises; A Brick for an Experiment; References; Suggested Readings; Chapter 2: Data Handling; Types of Variables (Logical Values, Strings, NaN, Structures, Cells); Logical Variables; Strings; NaN; Structures; Dynamic Field Names; Cells; Import/Export; Summary; Exercises; A Brick for an Experiment; Read the Results; Reference; Suggested Readings; Chapter 3: Plotting Data 1; Plot Data; Control the Plot's Objects: Labels, Legend, Title…
,
Subplot: Multiple Plots in One Figure3-D Plots; Printing and Saving Images; Handle Graphics; Summary; Exercises; A Brick for an Experiment; Plot the Results; Reference; Suggested Readings; Chapter 4: Start Programming; M-Scripts and Functions; Control Flow Statements; Cycles and Conditionals: If; Switch Case; For Loops; Analysis; While; Analysis; Analysis; Break; Try-Catch; Loops Versus Matrices and If Versus Logicals; Functions; Scope of Variables; Analysis; Change the Number of Inputs and Outputs; Analysis; More on Data Import/Export: Script Examples; Analysis
,
Guidelines for a Good Programming StyleWriting Code; Debug; Summary; Exercises; A Brick for an Experiment; Analysis; References; Suggested Readings; Chapter 5: A Better Sound; Generate a Sound; Multiple Sounds; Manipulating a Sound's Level; Match the Level of Sound with Different Waveforms; Analysis; Stereophonic Sounds for ITD and ILD 3; A Sound's Envelope; Sound Filtering; Sound Analysis; Summary; Exercises; A Brick for an Experiment; References; Suggested Readings; Chapter 6: Create and Proccess Images 1; Images Basics; Importing and Exporting Images; Display Images
,
Basic Manipulation of ImagesPoint Operations; Intensity Transformation; Windowing; Neighborhood Processing; The Edges of the Image; Advanced Image Processing; Creating Images by Computation; Summary; Exercises; References; Suggested Readings; Chapter 7: Data Analysis; Descriptive Statistics; Measures of Central Tendency; Measures of Dispersion; Bivariate and Multivariate Descriptive Statistics; Covariance; Simple and Multiple Linear Regression; Generalized Linear Model; Inferential Statistics; Parametric Statistics; Assessing the Parametric Assumptions; z -Test; t -Test; One-Sample t -Test
,
Two-Sample t -TestANOVA; One-Way ANOVA; Two- and n-Way ANOVA; anovan(); Example; One-Way Repeated-Measure ANOVA Analysis with anova1(); Two-Way Repeated-Measure ANOVA; Three-Way Mixed-Measures ANOVA; Nonparametric Statistics; Categorical Data; Binomial Distribution; Chi2; Ordinal Data; Wilcoxon Signed Rank Test; Mann-Whitney U Test (or Wilcoxon Rank Sum Test); Kruskal-Wallis Test; Friedman's Test; Signal-Detection Theory (STD) Indexes; d'; b; c; A' and B″; Summary; Exercises; A Brick for an Experiment; References; Suggested Readings; Chapter 8: The Charm of Graphical User Interface
,
Introduction
Weitere Ausg.:
9781461421962
Weitere Ausg.:
Buchausg. u.d.T. Borgo, Mauro MATLAB for Psychologists New York : Springer, 2012 9781489986993
Weitere Ausg.:
9781461421962
Sprache:
Englisch
Fachgebiete:
Psychologie
Schlagwort(e):
Psychologie
;
Statistik
;
MATLAB
;
Psychologie
;
Statistik
;
MATLAB
DOI:
10.1007/978-1-4614-2197-9
Bookmarklink