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Causal models [[electronic resource] ] : how people think about the world and its alternatives / / Steven Sloman
Causal models [[electronic resource] ] : how people think about the world and its alternatives / / Steven Sloman
Autore Sloman Steven A
Pubbl/distr/stampa Oxford ; ; New York, : Oxford University Press, 2005
Descrizione fisica 1 online resource (225 p.)
Disciplina 122
Soggetto topico Psychology - Mathematical models
Causation
Soggetto genere / forma Electronic books.
ISBN 0-19-988474-9
0-19-987095-0
1-280-42861-9
1-60256-568-6
9786610428618
0-19-804037-7
1-299-38582-6
0-19-972840-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agency and the role of causation in mental life -- The information is in the invariants -- What is a cause? -- Causal models -- Observation versus action -- Reasoning about causation -- Decision making via causal consequences -- The psychology of judgment : causality is pervasive -- Causality and conceptual structure -- Categorical induction -- Locating causal structure in language -- Causal learning -- Causation in the mind.
Record Nr. UNINA-9910452721403321
Sloman Steven A  
Oxford ; ; New York, : Oxford University Press, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Causal models [[electronic resource] ] : how people think about the world and its alternatives / / Steven Sloman
Causal models [[electronic resource] ] : how people think about the world and its alternatives / / Steven Sloman
Autore Sloman Steven A
Pubbl/distr/stampa Oxford ; ; New York, : Oxford University Press, 2005
Descrizione fisica 1 online resource (225 p.)
Disciplina 122
Soggetto topico Psychology - Mathematical models
Causation
ISBN 0-19-988474-9
0-19-987095-0
1-280-42861-9
1-60256-568-6
9786610428618
0-19-804037-7
1-299-38582-6
0-19-972840-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agency and the role of causation in mental life -- The information is in the invariants -- What is a cause? -- Causal models -- Observation versus action -- Reasoning about causation -- Decision making via causal consequences -- The psychology of judgment : causality is pervasive -- Causality and conceptual structure -- Categorical induction -- Locating causal structure in language -- Causal learning -- Causation in the mind.
Record Nr. UNINA-9910779414003321
Sloman Steven A  
Oxford ; ; New York, : Oxford University Press, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Causal models [[electronic resource] ] : how people think about the world and its alternatives / / Steven Sloman
Causal models [[electronic resource] ] : how people think about the world and its alternatives / / Steven Sloman
Autore Sloman Steven A
Pubbl/distr/stampa Oxford ; ; New York, : Oxford University Press, 2005
Descrizione fisica 1 online resource (225 p.)
Disciplina 122
Soggetto topico Psychology - Mathematical models
Causation
ISBN 0-19-988474-9
0-19-987095-0
1-280-42861-9
1-60256-568-6
9786610428618
0-19-804037-7
1-299-38582-6
0-19-972840-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agency and the role of causation in mental life -- The information is in the invariants -- What is a cause? -- Causal models -- Observation versus action -- Reasoning about causation -- Decision making via causal consequences -- The psychology of judgment : causality is pervasive -- Causality and conceptual structure -- Categorical induction -- Locating causal structure in language -- Causal learning -- Causation in the mind.
Record Nr. UNINA-9910816183103321
Sloman Steven A  
Oxford ; ; New York, : Oxford University Press, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Descriptive and normative approaches to human behavior [[electronic resource] /] / edited by Ehtibar Dzhafarov & Lacey Perry
Descriptive and normative approaches to human behavior [[electronic resource] /] / edited by Ehtibar Dzhafarov & Lacey Perry
Pubbl/distr/stampa New Jersey, : World Scientific, 2011
Descrizione fisica 1 online resource (335 p.)
Disciplina 155.2
Altri autori (Persone) DzhafarovEhtibar N
PerryLacey
Collana Advanced series on mathematical psychology
Soggetto topico Psychology - Mathematical models
Analysis (Philosophy) - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 1-280-37755-0
9786613555465
981-4368-01-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; 1. The Impossibility of a Satisfactory Population Ethics Gustaf Arrhenius; 1.1. Introduction; 1.2. The Basic Structure; 1.3. Adequacy Conditions; 1.4. The Impossibility Theorem; 1.4.1. Lemma 1.1; 1.4.2. Lemma 1.2; 1.4.3. Lemma 1.3; 1.4.4. Lemma 1.4; 1.5. Discussion; Acknowledgments; References; 2. Explaining Interference Effects Using Quantum Probability Theory Jerome R. Busemeyer and Jennifer S. Trueblood; 2.1. Introduction; 2.2. What Is an Interference Effect?; 2.3. What Is the Evidence for Interference Effects?; 2.3.1. Perception of ambiguous figures
2.3.2. Categorization - decision making2.3.3. Disjunction effect in decision making; 2.4. What Are the Explanations for These Effects?; 2.4.1. Markov model; 2.4.2. Quantum model; 2.4.3. Quantum noise model; 2.5. What Next?; References; 3. Defining Goodness and Badness in Terms of Betterness Without Negation Erik Carlson; 3.1. Introduction; 3.2. Assumptions; 3.3. Defining the Monadic Value Predicates; 3.4. Incomparability and Indeterminacy; 3.5. Giving Up Monotonicity; 3.6. Conclusion; Acknowledgments; Appendix: Proofs.; References
4. Optimality in Multisensory Integration Dynamics: Normative and Descriptive Aspects Hans Colonius and Adele Diederich4.1. Introduction; 4.1.1. Two basic experimental paradigms; 4.1.2. The race model; 4.2. Time Window of Integration (TWIN) Model: Assumptions and Predictions; 4.2.1. Deriving TWIN predictions for RTP and FAP; 4.3. Towards an Optimal Time Window of Integration; 4.3.1. The basic decision situation; 4.3.2. Deriving an optimal decision rule; 4.3.3. Optimal time window in focused attention paradigm; 4.4. Two Empirical Studies of Time Window Optimality
4.4.1. The effect of prior probability: The van Wanrooij et al. 2010 study4.4.2. The effect of age: The Diederich et al. 2008 study; 4.5. Summary and Outlook; Acknowledgments; Appendix 1; Appendix 2; References; 5. On the Reverse Problem of Fechnerian Scaling Ehtibar N. Dzhafarov; 5.1. Background; 5.2. Problem; 5.3. General Considerations; 5.4. Special Stimulus Spaces; 5.4.1. Directly linked spaces; 5.4.2. Spaces with metric-in-the-small dissimilarities; 5.4.3. Uniformly discrete spaces; Acknowledgments; References; 6. Bayesian Adaptive Estimation: A Theoretical Review Janne V. Kujala
6.1. Introduction6.1.1. Psychophysics; 6.1.2. The greedy strategy; 6.1.3. The entropy loss function and mutual information; 6.1.4. Calculating expected information gain; 6.1.5. Nuisance variables and utility weights; 6.1.6. Global strategies; 6.1. 7. The globally optimal strategy; 6.1.8. Non-adaptive and batch strategies; 6.2. Examples; 6.2.1. A simplified psychometric model; 6.2.1.1. Success of the greedy strategy; 6.2.1.2. Non-adaptive and batch strategies; 6.2.1.3. Comparison; 6.2.2. Exploration versus exploitation; 6.2.3. Inappropriate utility function; 6.3. Random Cost of Observation
6.3.1. Obtaining the best value for money
Record Nr. UNINA-9910457266303321
New Jersey, : World Scientific, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Descriptive and normative approaches to human behavior [[electronic resource] /] / edited by Ehtibar Dzhafarov & Lacey Perry
Descriptive and normative approaches to human behavior [[electronic resource] /] / edited by Ehtibar Dzhafarov & Lacey Perry
Pubbl/distr/stampa New Jersey, : World Scientific, 2011
Descrizione fisica 1 online resource (335 p.)
Disciplina 155.2
Altri autori (Persone) DzhafarovEhtibar N
PerryLacey
Collana Advanced series on mathematical psychology
Soggetto topico Psychology - Mathematical models
Analysis (Philosophy) - Mathematical models
ISBN 1-280-37755-0
9786613555465
981-4368-01-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; 1. The Impossibility of a Satisfactory Population Ethics Gustaf Arrhenius; 1.1. Introduction; 1.2. The Basic Structure; 1.3. Adequacy Conditions; 1.4. The Impossibility Theorem; 1.4.1. Lemma 1.1; 1.4.2. Lemma 1.2; 1.4.3. Lemma 1.3; 1.4.4. Lemma 1.4; 1.5. Discussion; Acknowledgments; References; 2. Explaining Interference Effects Using Quantum Probability Theory Jerome R. Busemeyer and Jennifer S. Trueblood; 2.1. Introduction; 2.2. What Is an Interference Effect?; 2.3. What Is the Evidence for Interference Effects?; 2.3.1. Perception of ambiguous figures
2.3.2. Categorization - decision making2.3.3. Disjunction effect in decision making; 2.4. What Are the Explanations for These Effects?; 2.4.1. Markov model; 2.4.2. Quantum model; 2.4.3. Quantum noise model; 2.5. What Next?; References; 3. Defining Goodness and Badness in Terms of Betterness Without Negation Erik Carlson; 3.1. Introduction; 3.2. Assumptions; 3.3. Defining the Monadic Value Predicates; 3.4. Incomparability and Indeterminacy; 3.5. Giving Up Monotonicity; 3.6. Conclusion; Acknowledgments; Appendix: Proofs.; References
4. Optimality in Multisensory Integration Dynamics: Normative and Descriptive Aspects Hans Colonius and Adele Diederich4.1. Introduction; 4.1.1. Two basic experimental paradigms; 4.1.2. The race model; 4.2. Time Window of Integration (TWIN) Model: Assumptions and Predictions; 4.2.1. Deriving TWIN predictions for RTP and FAP; 4.3. Towards an Optimal Time Window of Integration; 4.3.1. The basic decision situation; 4.3.2. Deriving an optimal decision rule; 4.3.3. Optimal time window in focused attention paradigm; 4.4. Two Empirical Studies of Time Window Optimality
4.4.1. The effect of prior probability: The van Wanrooij et al. 2010 study4.4.2. The effect of age: The Diederich et al. 2008 study; 4.5. Summary and Outlook; Acknowledgments; Appendix 1; Appendix 2; References; 5. On the Reverse Problem of Fechnerian Scaling Ehtibar N. Dzhafarov; 5.1. Background; 5.2. Problem; 5.3. General Considerations; 5.4. Special Stimulus Spaces; 5.4.1. Directly linked spaces; 5.4.2. Spaces with metric-in-the-small dissimilarities; 5.4.3. Uniformly discrete spaces; Acknowledgments; References; 6. Bayesian Adaptive Estimation: A Theoretical Review Janne V. Kujala
6.1. Introduction6.1.1. Psychophysics; 6.1.2. The greedy strategy; 6.1.3. The entropy loss function and mutual information; 6.1.4. Calculating expected information gain; 6.1.5. Nuisance variables and utility weights; 6.1.6. Global strategies; 6.1. 7. The globally optimal strategy; 6.1.8. Non-adaptive and batch strategies; 6.2. Examples; 6.2.1. A simplified psychometric model; 6.2.1.1. Success of the greedy strategy; 6.2.1.2. Non-adaptive and batch strategies; 6.2.1.3. Comparison; 6.2.2. Exploration versus exploitation; 6.2.3. Inappropriate utility function; 6.3. Random Cost of Observation
6.3.1. Obtaining the best value for money
Record Nr. UNINA-9910778815403321
New Jersey, : World Scientific, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Descriptive and normative approaches to human behavior [[electronic resource] /] / edited by Ehtibar Dzhafarov & Lacey Perry
Descriptive and normative approaches to human behavior [[electronic resource] /] / edited by Ehtibar Dzhafarov & Lacey Perry
Pubbl/distr/stampa New Jersey, : World Scientific, 2011
Descrizione fisica 1 online resource (335 p.)
Disciplina 155.2
Altri autori (Persone) DzhafarovEhtibar N
PerryLacey
Collana Advanced series on mathematical psychology
Soggetto topico Psychology - Mathematical models
Analysis (Philosophy) - Mathematical models
ISBN 1-280-37755-0
9786613555465
981-4368-01-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; 1. The Impossibility of a Satisfactory Population Ethics Gustaf Arrhenius; 1.1. Introduction; 1.2. The Basic Structure; 1.3. Adequacy Conditions; 1.4. The Impossibility Theorem; 1.4.1. Lemma 1.1; 1.4.2. Lemma 1.2; 1.4.3. Lemma 1.3; 1.4.4. Lemma 1.4; 1.5. Discussion; Acknowledgments; References; 2. Explaining Interference Effects Using Quantum Probability Theory Jerome R. Busemeyer and Jennifer S. Trueblood; 2.1. Introduction; 2.2. What Is an Interference Effect?; 2.3. What Is the Evidence for Interference Effects?; 2.3.1. Perception of ambiguous figures
2.3.2. Categorization - decision making2.3.3. Disjunction effect in decision making; 2.4. What Are the Explanations for These Effects?; 2.4.1. Markov model; 2.4.2. Quantum model; 2.4.3. Quantum noise model; 2.5. What Next?; References; 3. Defining Goodness and Badness in Terms of Betterness Without Negation Erik Carlson; 3.1. Introduction; 3.2. Assumptions; 3.3. Defining the Monadic Value Predicates; 3.4. Incomparability and Indeterminacy; 3.5. Giving Up Monotonicity; 3.6. Conclusion; Acknowledgments; Appendix: Proofs.; References
4. Optimality in Multisensory Integration Dynamics: Normative and Descriptive Aspects Hans Colonius and Adele Diederich4.1. Introduction; 4.1.1. Two basic experimental paradigms; 4.1.2. The race model; 4.2. Time Window of Integration (TWIN) Model: Assumptions and Predictions; 4.2.1. Deriving TWIN predictions for RTP and FAP; 4.3. Towards an Optimal Time Window of Integration; 4.3.1. The basic decision situation; 4.3.2. Deriving an optimal decision rule; 4.3.3. Optimal time window in focused attention paradigm; 4.4. Two Empirical Studies of Time Window Optimality
4.4.1. The effect of prior probability: The van Wanrooij et al. 2010 study4.4.2. The effect of age: The Diederich et al. 2008 study; 4.5. Summary and Outlook; Acknowledgments; Appendix 1; Appendix 2; References; 5. On the Reverse Problem of Fechnerian Scaling Ehtibar N. Dzhafarov; 5.1. Background; 5.2. Problem; 5.3. General Considerations; 5.4. Special Stimulus Spaces; 5.4.1. Directly linked spaces; 5.4.2. Spaces with metric-in-the-small dissimilarities; 5.4.3. Uniformly discrete spaces; Acknowledgments; References; 6. Bayesian Adaptive Estimation: A Theoretical Review Janne V. Kujala
6.1. Introduction6.1.1. Psychophysics; 6.1.2. The greedy strategy; 6.1.3. The entropy loss function and mutual information; 6.1.4. Calculating expected information gain; 6.1.5. Nuisance variables and utility weights; 6.1.6. Global strategies; 6.1. 7. The globally optimal strategy; 6.1.8. Non-adaptive and batch strategies; 6.2. Examples; 6.2.1. A simplified psychometric model; 6.2.1.1. Success of the greedy strategy; 6.2.1.2. Non-adaptive and batch strategies; 6.2.1.3. Comparison; 6.2.2. Exploration versus exploitation; 6.2.3. Inappropriate utility function; 6.3. Random Cost of Observation
6.3.1. Obtaining the best value for money
Record Nr. UNINA-9910813877703321
New Jersey, : World Scientific, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Discovering cognitive architecture by selectively influencing mental processes [[electronic resource] /] / by Richard Schweickert, Donald L. Fisher & Kyongje Sung
Discovering cognitive architecture by selectively influencing mental processes [[electronic resource] /] / by Richard Schweickert, Donald L. Fisher & Kyongje Sung
Autore Schweickert Richard
Pubbl/distr/stampa New Jersey, : World Scientific, 2012
Descrizione fisica 1 online resource (431 p.)
Disciplina 150.1/5195
Altri autori (Persone) FisherDonald L
SungKyongje
Collana Advanced series on mathematical psychology
Soggetto topico Psychology - Mathematical models
Psychometrics
Soggetto genere / forma Electronic books.
ISBN 1-283-59358-0
9786613906038
981-4277-46-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Chapter 1: Introduction to Techniques; Stretching Processes Rather Than Inserting Them; Chapter 2: Introduction to Process Schedules; Gantt Charts and Directed Acyclic Task Networks; Directed Acyclic Task Networks; Acyclic Task Networks in Human Factors; Systems Not Easily Represented in Acyclic Task Networks; Processing Trees; Systems Not Easily Represented As Processing Trees; Analyzing both reaction time and accuracy; Chapter 3: Selectively Influencing Processes in Task Networks; Effects of Selectively Influencing Processes in Task Networks; Slack; Selective influence
Monotonic Response Time MeansA note on SOA in dual tasks; A note on OR networks; Monotonic Interaction Contrasts; Calculations and simulations; Interaction Contrasts: Concurrent Processes; Example 1: Exponential distributions; Example 2: Truncated normal distributions; OR networks; Statistical considerations; Interaction contrasts: Sequential processes; Sequential processes case 1: Not in a Wheatstone bridge; Example 3: Exponential distributions; Example 4: Truncated normal distributions; Sequential processes case 2: An incomplete Wheatstone bridge; Example 5: Exponential distributions
Example 6: Truncated normal distributionsSequential processes case 3: A complete Wheatstone bridge; Distinguishing Concurrent and Sequential Processes; Limiting Values of Interaction Contrasts; Concurrent processes; Sequential processes; Building Blocks: Superprocesses and Stages in Task Networks; Superprocesses; Additive Factors and Stages; Appendix; Limits of Interaction Contrasts; Chapter 4: Theoretical Basis for Properties of Means and Interaction Contrasts; Notation and Definitions; Probability spaces; Ordering random variables; Conditional expectation
Effects of Experimental Factors on ProcessesFactors selectively influencing random variables; Factors ordering random vectors; Factors selectively influencing random vectors by increments; Monotonic reaction time means; Interaction contrasts; Concurrent processes; Sequential processes; OR networks; Chapter 5: Critical Path Models of Dual Tasks and Locus of Slack Analysis; Critical Path Network Models of Dual Tasks; Central limitations; Response limitations; Both central and response limitations; Selective Influence of Processes in Dual Tasks; Sensory and Central Processes
Central Processing in Task 1 and SOA (B1,SOA)Later work on B1 and SOA; SOA and Task 2 Sensory Processing (SOA, A2); Locus of Slack Analysis; SOA and Task 2 Central Processing, ; Number of Task 2 alternatives; Degree of mental rotation; Stimulus 2 discriminability; Number of Task 2 alternatives again, with response modality; Sensory and central Task 2 processing, ; Central processing of Task 1, central processing of Task 2, ; PRP: Number of alternatives; PRP: Discriminability; PRP: Central Process Order; Stroop tasks; Number of alternatives and Stroop conflict
Post-Central and Response Processes
Record Nr. UNINA-9910465489403321
Schweickert Richard  
New Jersey, : World Scientific, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Discovering cognitive architecture by selectively influencing mental processes [[electronic resource] /] / by Richard Schweickert, Donald L. Fisher & Kyongje Sung
Discovering cognitive architecture by selectively influencing mental processes [[electronic resource] /] / by Richard Schweickert, Donald L. Fisher & Kyongje Sung
Autore Schweickert Richard
Pubbl/distr/stampa New Jersey, : World Scientific, 2012
Descrizione fisica 1 online resource (431 p.)
Disciplina 150.1/5195
Altri autori (Persone) FisherDonald L
SungKyongje
Collana Advanced series on mathematical psychology
Soggetto topico Psychology - Mathematical models
Psychometrics
ISBN 1-283-59358-0
9786613906038
981-4277-46-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Chapter 1: Introduction to Techniques; Stretching Processes Rather Than Inserting Them; Chapter 2: Introduction to Process Schedules; Gantt Charts and Directed Acyclic Task Networks; Directed Acyclic Task Networks; Acyclic Task Networks in Human Factors; Systems Not Easily Represented in Acyclic Task Networks; Processing Trees; Systems Not Easily Represented As Processing Trees; Analyzing both reaction time and accuracy; Chapter 3: Selectively Influencing Processes in Task Networks; Effects of Selectively Influencing Processes in Task Networks; Slack; Selective influence
Monotonic Response Time MeansA note on SOA in dual tasks; A note on OR networks; Monotonic Interaction Contrasts; Calculations and simulations; Interaction Contrasts: Concurrent Processes; Example 1: Exponential distributions; Example 2: Truncated normal distributions; OR networks; Statistical considerations; Interaction contrasts: Sequential processes; Sequential processes case 1: Not in a Wheatstone bridge; Example 3: Exponential distributions; Example 4: Truncated normal distributions; Sequential processes case 2: An incomplete Wheatstone bridge; Example 5: Exponential distributions
Example 6: Truncated normal distributionsSequential processes case 3: A complete Wheatstone bridge; Distinguishing Concurrent and Sequential Processes; Limiting Values of Interaction Contrasts; Concurrent processes; Sequential processes; Building Blocks: Superprocesses and Stages in Task Networks; Superprocesses; Additive Factors and Stages; Appendix; Limits of Interaction Contrasts; Chapter 4: Theoretical Basis for Properties of Means and Interaction Contrasts; Notation and Definitions; Probability spaces; Ordering random variables; Conditional expectation
Effects of Experimental Factors on ProcessesFactors selectively influencing random variables; Factors ordering random vectors; Factors selectively influencing random vectors by increments; Monotonic reaction time means; Interaction contrasts; Concurrent processes; Sequential processes; OR networks; Chapter 5: Critical Path Models of Dual Tasks and Locus of Slack Analysis; Critical Path Network Models of Dual Tasks; Central limitations; Response limitations; Both central and response limitations; Selective Influence of Processes in Dual Tasks; Sensory and Central Processes
Central Processing in Task 1 and SOA (B1,SOA)Later work on B1 and SOA; SOA and Task 2 Sensory Processing (SOA, A2); Locus of Slack Analysis; SOA and Task 2 Central Processing, ; Number of Task 2 alternatives; Degree of mental rotation; Stimulus 2 discriminability; Number of Task 2 alternatives again, with response modality; Sensory and central Task 2 processing, ; Central processing of Task 1, central processing of Task 2, ; PRP: Number of alternatives; PRP: Discriminability; PRP: Central Process Order; Stroop tasks; Number of alternatives and Stroop conflict
Post-Central and Response Processes
Record Nr. UNINA-9910792082403321
Schweickert Richard  
New Jersey, : World Scientific, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Discovering cognitive architecture by selectively influencing mental processes [[electronic resource] /] / by Richard Schweickert, Donald L. Fisher & Kyongje Sung
Discovering cognitive architecture by selectively influencing mental processes [[electronic resource] /] / by Richard Schweickert, Donald L. Fisher & Kyongje Sung
Autore Schweickert Richard
Pubbl/distr/stampa New Jersey, : World Scientific, 2012
Descrizione fisica 1 online resource (431 p.)
Disciplina 150.1/5195
Altri autori (Persone) FisherDonald L (Donald Lloyd)
SungKyongje
Collana Advanced series on mathematical psychology
Soggetto topico Psychology - Mathematical models
Psychometrics
ISBN 1-283-59358-0
9786613906038
981-4277-46-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Chapter 1: Introduction to Techniques; Stretching Processes Rather Than Inserting Them; Chapter 2: Introduction to Process Schedules; Gantt Charts and Directed Acyclic Task Networks; Directed Acyclic Task Networks; Acyclic Task Networks in Human Factors; Systems Not Easily Represented in Acyclic Task Networks; Processing Trees; Systems Not Easily Represented As Processing Trees; Analyzing both reaction time and accuracy; Chapter 3: Selectively Influencing Processes in Task Networks; Effects of Selectively Influencing Processes in Task Networks; Slack; Selective influence
Monotonic Response Time MeansA note on SOA in dual tasks; A note on OR networks; Monotonic Interaction Contrasts; Calculations and simulations; Interaction Contrasts: Concurrent Processes; Example 1: Exponential distributions; Example 2: Truncated normal distributions; OR networks; Statistical considerations; Interaction contrasts: Sequential processes; Sequential processes case 1: Not in a Wheatstone bridge; Example 3: Exponential distributions; Example 4: Truncated normal distributions; Sequential processes case 2: An incomplete Wheatstone bridge; Example 5: Exponential distributions
Example 6: Truncated normal distributionsSequential processes case 3: A complete Wheatstone bridge; Distinguishing Concurrent and Sequential Processes; Limiting Values of Interaction Contrasts; Concurrent processes; Sequential processes; Building Blocks: Superprocesses and Stages in Task Networks; Superprocesses; Additive Factors and Stages; Appendix; Limits of Interaction Contrasts; Chapter 4: Theoretical Basis for Properties of Means and Interaction Contrasts; Notation and Definitions; Probability spaces; Ordering random variables; Conditional expectation
Effects of Experimental Factors on ProcessesFactors selectively influencing random variables; Factors ordering random vectors; Factors selectively influencing random vectors by increments; Monotonic reaction time means; Interaction contrasts; Concurrent processes; Sequential processes; OR networks; Chapter 5: Critical Path Models of Dual Tasks and Locus of Slack Analysis; Critical Path Network Models of Dual Tasks; Central limitations; Response limitations; Both central and response limitations; Selective Influence of Processes in Dual Tasks; Sensory and Central Processes
Central Processing in Task 1 and SOA (B1,SOA)Later work on B1 and SOA; SOA and Task 2 Sensory Processing (SOA, A2); Locus of Slack Analysis; SOA and Task 2 Central Processing, ; Number of Task 2 alternatives; Degree of mental rotation; Stimulus 2 discriminability; Number of Task 2 alternatives again, with response modality; Sensory and central Task 2 processing, ; Central processing of Task 1, central processing of Task 2, ; PRP: Number of alternatives; PRP: Discriminability; PRP: Central Process Order; Stroop tasks; Number of alternatives and Stroop conflict
Post-Central and Response Processes
Record Nr. UNINA-9910818142403321
Schweickert Richard  
New Jersey, : World Scientific, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Explaining psychological statistics / / Barry H. Cohen, New York University
Explaining psychological statistics / / Barry H. Cohen, New York University
Autore Cohen Barry H. <1949->
Edizione [4th ed.]
Pubbl/distr/stampa Hoboken, NJ : , : John Wiley & Sons, , 2013
Descrizione fisica 1 online resource (850 p.)
Disciplina 150.1
150/.1/5195
Collana Coursesmart
Soggetto topico Psychometrics
Psychology - Mathematical models
Statistics - Study and teaching (Higher)
PSYCHOLOGY / Statistics
Soggetto genere / forma Electronic books.
ISBN 1-118-65214-2
1-118-65224-X
Classificazione PSY032000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; Key Formulas; Key Formulas; Preface to the Fourth Edition; Acknowledgments; Part One Descriptive Statistics; Chapter 1 Introduction to Psychological Statistics; A. Conceptual Foundation; What Is (Are) Statistics?; Statistics and Research; Variables and Constants; Scales of Measurement; Parametric Versus Nonparametric Statistics; Likert Scales and the Measurement Controversy; Continuous Versus Discrete Variables; Scales Versus Variables Versus Underlying Constructs; Independent Versus Dependent Variables; Experimental Versus Observational Research
Populations Versus SamplesStatistical Formulas; Summary; Exercises; B. Basic Statistical Procedures; Variables With Subscripts; The Summation Sign; Properties of the Summation Sign; Rounding Off Numbers; Summary; Exercises; C. Analysis by SPSS; Ihno's Data; Variable View; Data Coding; Missing Values; Computing New Variables; Reading Excel Files Into SPSS; Exercises; Chapter 2 Frequency Tables, Graphs, and Distributions; A. Conceptual Foundation; Frequency Distributions; The Cumulative Frequency Distribution; The Relative Frequency and Cumulative Relative Frequency Distributions
The Cumulative Percentage DistributionPercentiles; Graphs; Real Versus Theoretical Distributions; Summary; Exercises; B. Basic Statistical Procedures; Grouped Frequency Distributions; Apparent Versus Real Limits; Constructing Class Intervals; Choosing the Class Interval Width; Choosing the Limits of the Lowest Interval; Relative and Cumulative Frequency Distributions; Cumulative Percentage Distribution; Estimating Percentiles and Percentile Ranks by Linear Interpolation; Graphing a Grouped Frequency Distribution; Guidelines for Drawing Graphs of Frequency Distributions; Summary; Exercises
C. Analysis by SPSSCreating Frequency Distributions; Percentile Ranks and Missing Values; Graphing Your Distribution; Obtaining Percentiles; The Split File Function; Stem-and-Leaf Plots; Exercises; Chapter 3 Measures of Central Tendency and Variability; A. Conceptual Foundation; Measures of Central Tendency; Measures of Variability; Skewed Distributions; Summary; Exercises; B. Basic Statistical Procedures; Formulas for the Mean; Computational Formulas for the Variance and Standard Deviation; Obtaining the Standard Deviation Directly From Your Calculator; Properties of the Mean
Properties of the Standard DeviationMeasuring Skewness; Measuring Kurtosis; Summary; Exercises; C. Analysis by SPSS; Summary Statistics; Using Explore to Obtain Additional Statistics; Boxplots; Selecting Cases; Exercises; Key Formulas; Chapter 4 Standardized Scores and the Normal Distribution; A. Conceptual Foundation; z Scores; Finding a Raw Score From a z Score; Sets of z Scores; Properties of z Scores; SAT, T, and IQ Scores; The Normal Distribution; Introducing Probability: Smooth Distributions Versus Discrete Events; Real Distributions Versus the Normal Distribution
z Scores as a Research Tool
Record Nr. UNINA-9910453698403321
Cohen Barry H. <1949->  
Hoboken, NJ : , : John Wiley & Sons, , 2013
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