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Modern Psychometrics with R / / by Patrick Mair
| Modern Psychometrics with R / / by Patrick Mair |
| Autore | Mair Patrick |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 458 p. 155 illus., 96 illus. in color.) |
| Disciplina | 150.28553 |
| Collana | Use R! |
| Soggetto topico |
Statistics
Psychometrics Psychology—Methodology R (Computer program language) Statistics for Social Sciences, Humanities, Law Psychological Methods/Evaluation Statistics and Computing/Statistics Programs |
| ISBN | 3-319-93177-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classical Test Theory.-Factor Analysis -- Path Analysis and Structural Equation Models -- Item Response Theory -- Preference Modeling -- Principal Component Analysis and Extensions -- Correspondence Analysis -- Gifi Methods -- Multidimensional Scaling -- Biplots -- Networks -- Parametric Cluster Analysis and Mixture Regression -- Modeling Trajectories and Time Series -- Analysis of fMRI Data. |
| Record Nr. | UNINA-9910300140003321 |
Mair Patrick
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Pupil reactions in response to human mental activity / / Minoru Nakayama, Yasutaka Shimizu, editors
| Pupil reactions in response to human mental activity / / Minoru Nakayama, Yasutaka Shimizu, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (110 pages) |
| Disciplina | 150.28553 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Psychometrics - Data processing
Psicometria Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-1722-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Controlling the Effects of Brightness on the Measurement of Pupil Size as a Means of Evaluating Mental Activity -- 1 Introduction -- 2 Pupillary Change Due to Picture Brightness -- 2.1 Picture Brightness Control -- 2.2 Experimental Method of Observing the Influence of Brightness -- 2.3 Pupillary Change With Levels of Picture Brightness -- 3 Pupillary Change in Response to Brightness Levels -- 3.1 Experimental Procedure for Pupillary Change Due to Brightness -- 3.2 Results of Observation of Pupillary Change According to Brightness Level -- 3.3 Procedure for Correcting Pupil Size -- 4 Pupillary Changes in Response to Picture Content -- 4.1 Assessment Procedure -- 4.2 Results of Assessment -- 5 Summary -- References -- Pupil Reaction Model Using a Neural Network for Brightness Change -- 1 Introduction -- 2 Experimental Method -- 2.1 Visual Stimuli -- 2.2 Observed Records -- 3 Pupil Reaction Model -- 3.1 Linear Model -- 3.2 Neural Network Model -- 4 Evaluation of Performance Models -- 4.1 Temporal Changes in Pupil Size -- 4.2 Mean Square Errors -- 5 Characteristics of the Model Developed -- 5.1 Optimization of the Number of Units -- 5.2 Weight Distribution of Input Layer -- 5.3 Representation of Hidden Units -- 6 Evaluation of Brightness Compensation Performance -- 6.1 Compensation Due to Random Changes in Brightness During a Video -- 6.2 Compensation Performance During a Video -- 7 Summary -- References -- A Neural-Network-Based Eye Pupil Reaction Model for Use with Television Programs -- 1 Introduction -- 2 Pupil Reaction Model -- 2.1 Modeling Procedure -- 2.2 Training Data Preparation -- 2.3 Evaluation of the model trained for changes in brightness -- 2.4 Internal Representation of the Trained Model -- 3 Evaluation of Extracted Mental Activity Using the Trained Model -- 3.1 Video Materials.
3.2 Compensation Procedures for the Influences of Brightness -- 3.3 Determination of Sampling Duration -- 3.4 Brightness Change Compensation Performance -- 3.5 Video Clip Compensation Performance -- 3.6 Temporal Pupil Responses During Clip Viewing -- 4 Summary -- References -- The Relationship Between Pupillary Changes and Subjective Indices to the Content of Television Programs -- 1 Introduction -- 2 Experimental Method -- 2.1 Pupil Size -- 2.2 Blinks -- 2.3 Subjective Impression -- 2.4 Emotional Impressions of Movie Clips -- 2.5 Presented Video and Experimental Procedure -- 3 Results -- 3.1 Temporal Changes Caused by Clips Viewed -- 3.2 Scene Splitting -- 4 Relationship Between Measured Metrics and Overall Impressions of Video Clips -- 4.1 Overall Impression -- 4.2 Relationship Between Measured Metrics and Overall Impressions -- 4.3 Factors Contributing to Observed Metrics -- 5 Summary -- References -- An Estimation Model for Pupil Size of Blink Artifacts While Viewing TV Programs -- 1 Introduction -- 2 Estimation of Pupil Size -- 2.1 Estimation Using MLP -- 2.2 Training of Pupil Size -- 2.3 Results of Training -- 3 Pupil Estimation During Blinks -- 3.1 Training Using Blink Patterns -- 3.2 Training Results -- 3.3 Internal Representation of the Network -- 4 Applying the Model to TV Program Viewing -- 4.1 Video Clips Presented -- 4.2 Compensation Performance for the Influence of Brightness -- 4.3 Processing Effectiveness Using the Model -- 5 Summary -- References -- Estimation of Eye-Pupil Size During Blink by Support Vector Regression -- 1 Introduction -- 2 Method -- 2.1 Periodic Pupillary Response -- 2.2 Training Data -- 2.3 Pupil Size Estimation by Use of SVR -- 3 Result -- 3.1 Reproducing Performance -- 3.2 Estimation Results -- 3.3 Estimation Performance -- 3.4 Application to Another Data Set -- 4 Summary -- References. Frequency Analysis of Task Evoked Pupillary Response and Eye Movement -- 1 Introduction -- 2 Experimental Method -- 2.1 Experimental Tasks -- 2.2 Pupil Size Estimation During the Eye Blink -- 2.3 Eye Movement During Blink -- 3 Results of Pupillary Response -- 3.1 Estimation Performance -- 3.2 Average Pupil Size -- 3.3 Frequency Analysis of Pupillography -- 4 Results of Eye Movement -- 4.1 Saccadic Eye Movement -- 4.2 Frequency Analysis of Eye Movement Data -- 5 Discussion -- 5.1 Pupillary Response -- 5.2 Eye Movement -- 6 Conclusions -- References -- Appendix Epilogue: Last But Not Least -- References. |
| Record Nr. | UNISA-996466409403316 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Pupil reactions in response to human mental activity / / Minoru Nakayama, Yasutaka Shimizu, editors
| Pupil reactions in response to human mental activity / / Minoru Nakayama, Yasutaka Shimizu, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (110 pages) |
| Disciplina | 150.28553 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Psychometrics - Data processing
Psicometria Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-1722-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Controlling the Effects of Brightness on the Measurement of Pupil Size as a Means of Evaluating Mental Activity -- 1 Introduction -- 2 Pupillary Change Due to Picture Brightness -- 2.1 Picture Brightness Control -- 2.2 Experimental Method of Observing the Influence of Brightness -- 2.3 Pupillary Change With Levels of Picture Brightness -- 3 Pupillary Change in Response to Brightness Levels -- 3.1 Experimental Procedure for Pupillary Change Due to Brightness -- 3.2 Results of Observation of Pupillary Change According to Brightness Level -- 3.3 Procedure for Correcting Pupil Size -- 4 Pupillary Changes in Response to Picture Content -- 4.1 Assessment Procedure -- 4.2 Results of Assessment -- 5 Summary -- References -- Pupil Reaction Model Using a Neural Network for Brightness Change -- 1 Introduction -- 2 Experimental Method -- 2.1 Visual Stimuli -- 2.2 Observed Records -- 3 Pupil Reaction Model -- 3.1 Linear Model -- 3.2 Neural Network Model -- 4 Evaluation of Performance Models -- 4.1 Temporal Changes in Pupil Size -- 4.2 Mean Square Errors -- 5 Characteristics of the Model Developed -- 5.1 Optimization of the Number of Units -- 5.2 Weight Distribution of Input Layer -- 5.3 Representation of Hidden Units -- 6 Evaluation of Brightness Compensation Performance -- 6.1 Compensation Due to Random Changes in Brightness During a Video -- 6.2 Compensation Performance During a Video -- 7 Summary -- References -- A Neural-Network-Based Eye Pupil Reaction Model for Use with Television Programs -- 1 Introduction -- 2 Pupil Reaction Model -- 2.1 Modeling Procedure -- 2.2 Training Data Preparation -- 2.3 Evaluation of the model trained for changes in brightness -- 2.4 Internal Representation of the Trained Model -- 3 Evaluation of Extracted Mental Activity Using the Trained Model -- 3.1 Video Materials.
3.2 Compensation Procedures for the Influences of Brightness -- 3.3 Determination of Sampling Duration -- 3.4 Brightness Change Compensation Performance -- 3.5 Video Clip Compensation Performance -- 3.6 Temporal Pupil Responses During Clip Viewing -- 4 Summary -- References -- The Relationship Between Pupillary Changes and Subjective Indices to the Content of Television Programs -- 1 Introduction -- 2 Experimental Method -- 2.1 Pupil Size -- 2.2 Blinks -- 2.3 Subjective Impression -- 2.4 Emotional Impressions of Movie Clips -- 2.5 Presented Video and Experimental Procedure -- 3 Results -- 3.1 Temporal Changes Caused by Clips Viewed -- 3.2 Scene Splitting -- 4 Relationship Between Measured Metrics and Overall Impressions of Video Clips -- 4.1 Overall Impression -- 4.2 Relationship Between Measured Metrics and Overall Impressions -- 4.3 Factors Contributing to Observed Metrics -- 5 Summary -- References -- An Estimation Model for Pupil Size of Blink Artifacts While Viewing TV Programs -- 1 Introduction -- 2 Estimation of Pupil Size -- 2.1 Estimation Using MLP -- 2.2 Training of Pupil Size -- 2.3 Results of Training -- 3 Pupil Estimation During Blinks -- 3.1 Training Using Blink Patterns -- 3.2 Training Results -- 3.3 Internal Representation of the Network -- 4 Applying the Model to TV Program Viewing -- 4.1 Video Clips Presented -- 4.2 Compensation Performance for the Influence of Brightness -- 4.3 Processing Effectiveness Using the Model -- 5 Summary -- References -- Estimation of Eye-Pupil Size During Blink by Support Vector Regression -- 1 Introduction -- 2 Method -- 2.1 Periodic Pupillary Response -- 2.2 Training Data -- 2.3 Pupil Size Estimation by Use of SVR -- 3 Result -- 3.1 Reproducing Performance -- 3.2 Estimation Results -- 3.3 Estimation Performance -- 3.4 Application to Another Data Set -- 4 Summary -- References. Frequency Analysis of Task Evoked Pupillary Response and Eye Movement -- 1 Introduction -- 2 Experimental Method -- 2.1 Experimental Tasks -- 2.2 Pupil Size Estimation During the Eye Blink -- 2.3 Eye Movement During Blink -- 3 Results of Pupillary Response -- 3.1 Estimation Performance -- 3.2 Average Pupil Size -- 3.3 Frequency Analysis of Pupillography -- 4 Results of Eye Movement -- 4.1 Saccadic Eye Movement -- 4.2 Frequency Analysis of Eye Movement Data -- 5 Discussion -- 5.1 Pupillary Response -- 5.2 Eye Movement -- 6 Conclusions -- References -- Appendix Epilogue: Last But Not Least -- References. |
| Record Nr. | UNINA-9910483437303321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||