| Description |
xiii, 393 pages : illustrations ; 24 cm |
| Series |
An A K Peters book |
| Contents |
Contents note continued: 10.2.4.Facial-Expression Databases -- 10.2.5.Object Sets -- 10.2.6.Image Collections -- 10.2.7.Sound and Multisensory Data -- 10.2.8.Human Behavior -- 11.Presenting Stimuli: The Psychtoolbox -- 11.1.History -- 11.2.Contents -- 11.3.Getting Started -- 11.4.Example 1: A Simple Experiment -- 11.5.Example 2: A More Involved Experiment -- IV.Data Analysis -- 12.Statistical Issues -- 12.1.Variables -- 12.1.1.Interval Variables -- 12.1.2.Ordinal Variables -- 12.1.3.Nominal Variables -- 12.1.4.Guidelines -- 12.2.Distributions -- 12.2.1.The Gaussian or Normal Distribution -- 12.2.2.Guidelines -- 12.3.Descriptive versus Inferential Statistics -- 12.4.Descriptive Statistics -- 12.4.1.Measures of Central Tendency -- 12.4.2.Measures of Dispersion -- 12.4.3.Guidelines -- 12.5.Inferential Statistics -- 12.5.1.Testing for a Difference in Means -- 12.5.2.Population -- 12.5.3.Random Sampling -- 12.5.4.Sample Parameters versus Population Parameters -- |
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Contents note continued: 12.5.5.The Null Hypothesis -- 12.5.6.Type I and type II Errors -- 12.5.7.Power Analysis and Effect Size -- 12.5.8.Cohen's d -- 12.6.Hypothesis Testing -- 12.6.1.Important Distributions -- 12.6.2.One-Tailed versus Two-Tailed Hypothesis Testing -- 12.7.Common Statistical Tests -- 12.7.1.The Binomial Test -- 12.7.2.The Χ2 Goodness-of-Fit Test -- 12.7.3.The Kolmogorov-SmirnovGoodness-of-Fit Test -- 12.7.4.The Χ2 Test for Independence -- 12.7.5.The Independent-Sample t-Test -- 12.7.6.The Mann-Whitney-U Test -- 12.7.7.One-Way Analysis of Variance (ANOVA) -- 12.7.8.The Kruskal-Wallis Test -- 12.7.9.The Paired t-Test -- 12.7.10.The Wilcoxon Test -- 12.7.11.The Sign Test -- 12.7.12.Repeated Measures One-Way ANOVA -- 12.7.13.Friedman test -- 12.7.14.Two-Way ANOVA -- 12.7.15.The Pearson Correlation -- 12.7.16.Spearman's Rank Correlation -- 12.7.17.Linear Regression -- 13.Free Description, Questionnaires, and Rating Scales -- |
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Contents note continued: 13.1.Analysis of Free-Description Data -- 13.1.1.Text Analytics -- 13.1.2.Rapid Miner -- 13.2.Rater Agreement and Rater Reliability -- 13.2.1.Percentage Agreement -- 13.2.2.Cohen's Kappa for Nominal Ratings -- 13.2.3.Spearman's Rank Correlation Coefficient -- 13.2.4.Kendall's Coefficient of Concordance -- 13.2.5.Intraclass Correlation Coefficient (ICC) -- 13.3.Analysis of Semantic Differentials, Similarity Ratings, and Multiple Scales -- 13.3.1.Factor Analysis -- 13.3.2.Multidimensional Scaling (MDS) -- 14.Forced and Multiple Choice -- 14.1.Signal Detection Theory -- 14.2.Receiver Operator Characteristic -- 14.2.1.Area under the Curve (AUC) -- 14.3.Measuring Sensitivity Using d' -- 14.3.1.The Measure d' -- 14.4.Psychometric Functions -- 14.4.1.Parametrizing Psychometric Functions -- 14.4.2.Fitting Psychometric Functions -- 14.4.3.Finding Confidence Intervals |
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Contents note continued: 3.5.1.Response Bias -- 3.5.2.Motivation -- 3.5.3.Instructions -- 3.5.4.Relevance -- 3.5.5.Catch Trials -- 3.5.6.Feedback -- 3.5.7.Practice Trials -- 3.5.8.Anonymity -- 3.5.9.Overt versus Covert Tasks -- 3.5.10.Filler Trials -- 3.5.11.Deception -- 3.5.12.Informed Consent -- 3.5.13.The Experimental Chamber -- 3.6.Summary -- 4.Free Description -- 4.1.Overview of Free-Description Tasks -- 4.1.1.Typical Questions -- 4.1.2.Data Analysis -- 4.1.3.Overview of the Variants -- 4.2.Task Description -- 4.2.1.Advantages and Disadvantages of Unconstrained Answers -- 4.2.2.Interviews and Social Factors -- 4.2.3.General Guidelines -- 4.3.Specific Variants -- 4.3.1.Interviews -- 4.3.2.Questionnaires -- 4.3.3.Long and Short Answers -- 4.3.4.Partial Report -- 4.4.Conclusions -- 5.Rating Scales -- 5.1.Overview of Rating Tasks -- 5.1.1.Typical Questions -- 5.1.2.Data Analysis -- 5.1.3.Overview of the Variants -- 5.2.Task Description -- 5.2.1.The Underlying Dimension -- |
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Contents note continued: 5.2.2.Example Trials -- 5.2.3.A Hypothetical Example -- 5.2.4.General Guidelines -- 5.3.Specific Variants -- 5.3.1.Ordered Ranking -- 5.3.2.Magnitude Estimation -- 5.3.3.Likert Tasks -- 5.3.4.Semantic Differentials -- 5.4.Conclusions -- 6.Forced-Choice -- 6.1.Overview of Forced-Choice Tasks -- 6.1.1.Typical Questions -- 6.1.2.Data Analysis -- 6.1.3.Overview of the Variants -- 6.2.Task Description -- 6.2.1.Discrimination -- 6.2.2.General Guidelines -- 6.3.Specific Variants -- 6.3.1.The Two-Alternative Forced-Choice Task -- 6.3.2.Two-Interval Forced-Choice Task -- 6.3.3.N-alternative Forced-Choice Task -- 6.3.4.NAlternative Non-Forced-Choice Task -- 6.4.Conclusions -- 7.Specialized Multiple Choice -- 7.1.Overview of Specialized Multiple-Choice Tasks -- 7.1.1.Typical Questions -- 7.1.2.Data Analysis -- 7.1.3.Overview of the Variants -- 7.2.Task Description -- 7.2.1.General Guidelines -- 7.3.Specific Variants -- 7.3.1.Go/No Go Tasks -- |
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Contents note continued: 7.3.2.Matching-to-Sample Tasks -- 7.3.3.Visual Search Tasks -- 7.3.4.Rapid Serial Visual Presentation Tasks -- 7.3.5.Free-Grouping Tasks -- 7.4.Conclusions -- 8.Real-World Tasks -- 8.1.Overview of Real-World Tasks -- 8.1.1.Typical Questions -- 8.1.2.Data Analysis -- 8.1.3.Overview of the Variants -- 8.2.Task Description -- 8.2.1.Direct Tasks and the Linguistic Bias -- 8.2.2.Perception-Action Loops -- 8.2.3.General Guidelines -- 8.3.Specific Variants -- 8.3.1.Method of Adjustment -- 8.3.2.Pointing -- 8.4.Conclusions -- 9.Physiology -- 9.1.Psychophysiological Measurements -- 9.1.1.Pupillometry -- 9.1.2.Galvanic Skin Response (GSR) -- 9.2.Eye Tracking -- 9.2.1.Elements -- 9.3.Electroencephalography (EEG) -- 9.3.1.Elements -- 9.4.Functional Magnetic Resonance Imaging (fMRI) -- 9.4.1.Elements -- III.Stimuli -- 10.Choosing Stimuli -- 10.1.Control -- 10.2.Stimulus Databases -- 10.2.1.Guidelines -- 10.2.2.Resources -- 10.2.3.Face Databases -- |
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Machine generated contents note: I.Introduction -- 1.What Is an Experiment? -- 1.1.The Research Question -- 1.2.The Relationship Between Hypothesis and Task -- 1.3.The Experiment -- 1.4.How to Use This Book -- 2.Designing an Experiment -- 2.1.Specificity versus Generality -- 2.1.1.Exploring an Unknown Function -- 2.1.2.Modeling Experimental Design -- 2.1.3.Repeated Measures -- 2.1.4.Multiple Participants -- 2.1.5.Two Conditions -- 2.1.6.Change versus Transformation -- 2.1.7.Symmetrical Experiments -- 2.1.8.Measuring Perception -- 2.1.9.Multiple Levels of a Factor -- 2.1.10.Order Effects and Between-Participants Design -- 2.1.11.Two or More Factors -- 2.1.12.Validity -- 2.1.13.Real-World Example -- 2.2.The Elements of an Experiment -- II.Response Measures -- 3.The Task -- 3.1.Task Taxonomy -- 3.2.Which Method Should I Use to Answer My Question? -- 3.3.Naive Participants -- 3.3.1.Response Bias -- 3.3.2.Addressing Response Bias -- 3.4.Ethics Review -- 3.5.General Guidelines -- |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Computer science -- Experiments.
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Experimental design.
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Human-computer interaction -- Experiments.
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Psychophysics.
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| Author |
Wallraven, Christian.
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| LC no. |
2011031078 |
| ISBN |
1568814682 (alk. paper) |
|
9781568814681 (alk. paper) |
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