Using statistics in the social and healt
β Abbott, Martin
π Library
π
2017
π John Wiley & Sons
π English
β¦ LIBER β¦
π
Experiments and Modeling in Cognitive Science: MATLAB, SPSS, Excel and E-Prime
β Scribed by Fabien Mathy, Mustapha Chekaf
- Publisher
- ISTE Press
- Year
- 2018
- Tongue
- English
- Leaves
- 286
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Software Simulation and Modeling in Psychology: MATLAB, SPSS, Excel and E-Prime describes all the stages of psychology experimentation, from the manipulation of factors, to statistical analysis, data modeling, and automated stimuli creation. The book shows how software can help automate various stages of the experiment for which operations may quickly become repetitive. For example, it shows how to compile data files (instead of opening files one by one to copy and paste), generate stimuli (instead of drawing one by one in a drawing software), and transform and recode tables of data.
This type of modeling in psychology helps determine if a model fits the data, and also demonstrates that the algorithmic is not only useful, but essential for modeling data.
β¦ Table of Contents
Cover......Page 1
Experiments and Modeling
in Cognitive Science:
MATLAB, SPSS, Excel and E-Prime
......Page 3
Copyright
......Page 4
Preface
......Page 5
Part 1: Experiments, Models, Simulations
......Page 9
1 Principles of Modeling......Page 10
2 Modeling and Simulation......Page 29
3 Adjustment of the Model to the Data......Page 47
4 Introduction to Programming
in MATLAB......Page 70
Part 2: Experimentation
......Page 101
5 Principles of Experimentation
Organization and Experimental Reasoning......Page 102
6 Building Experimental Conditions from
Random Draws or Permutations......Page 116
7 Creating Stimuli Digitally......Page 134
8 Experimenting with Psychtoolbox
(and Others)......Page 159
Part 3: Analysis and Modeling
......Page 198
9 Analyzing Data: Import, Transformation,
Compilation, Restructuring, Aggregation
and Use of Statisticstoolbox......Page 199
10 Introduction to Bayesian Analysis......Page 234
11 Complex and Original Figures......Page 265
References......Page 278
Index......Page 284
Back Cover......Page 286
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