The Oxford handbook of quantitative methods in psychology . Vol. 2 Statistical analysis / / edited by Todd D. Little [[electronic resource]] |
Pubbl/distr/stampa | New York : , : Oxford University Press, , 2013 |
Descrizione fisica | 1 online resource : illustrations (black and white) |
Disciplina | 150.151 |
Collana | Oxford library of psychology |
Soggetto topico |
Psychology - Mathematical models
Psychology - Statistical methods |
ISBN | 0-19-997130-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti |
Quantitative methods in psychology
Handbook of quantitative methods in psychology |
Record Nr. | UNINA-9910814064103321 |
New York : , : Oxford University Press, , 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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The Oxford handbook of quantitative methods in psychology . Vol. 1 Foundations / / edited by Todd D. Little [[electronic resource]] |
Pubbl/distr/stampa | New York : , : Oxford University Press, , 2013 |
Descrizione fisica | 1 online resource (507 p.) |
Disciplina |
150.72/1
150.721 |
Collana | Oxford library of psychology |
Soggetto topico |
Psychology - Statistical methods
Psychology - Mathematical models |
ISBN | 0-19-997129-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Contents; Oxford Library of Psychology; About the Editor; Contributors; Table of Contents; 1. Introduction; 2. The Philosophy of Quantitative Methods; 3. Quantitative Methods and Ethics; 4. Special Populations; 5. Theory Construction, Model Building, and Model Selection; 6. Teaching Quantitative Psychology; 7. Modern Test Theory; 8. The IRT Tradition and its Applications; 9. Survey Design and Measure Development; 10. High-Stakes Test Construction and Test Use; 11. Effect Size and Sample Size Planning
12. Experimental Design for Causal Inference: Clinical Trials and Regression Discontinuity Designs13. Matching and Propensity Scores; 14. Designs for and Analyses of Response Time Experiments; 15. Observational Methods; 16. A Primer of Epidemiologic Methods, Concepts, and Analysis with Examples and More Advanced Applications within Psychology; 17. Program Evaluation: Principles, Procedures, and Practices; 18. Overview of Statistical Estimation Methods; 19. Robust Statistical Estimation; 20. Bayesian Statistical Methods; 21. Mathematical Modeling; 22. Monte Carlo Analysis in Academic Research IndexA; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; Y |
Altri titoli varianti |
Quantitative methods in psychology
Handbook of quantitative methods in psychology |
Record Nr. | UNINA-9910808663003321 |
New York : , : Oxford University Press, , 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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Psychological test and assessment modeling |
Pubbl/distr/stampa | Lengerich ; ; Miami, : Pabst Science Publishers, [2010]- |
Descrizione fisica | 1 online resource |
Soggetto topico |
Psychological tests
Psychology - Mathematical models Psychometrics Psychologie Educational Measurement Psychological Tests |
Soggetto genere / forma | Periodicals. |
ISSN | 2190-0507 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996336665303316 |
Lengerich ; ; Miami, : Pabst Science Publishers, [2010]- | ||
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Lo trovi qui: Univ. di Salerno | ||
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Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall |
Autore | Geher Glenn |
Pubbl/distr/stampa | New York, New York : , : Oxford University Press, , 2014 |
Descrizione fisica | 1 online resource (481 p.) |
Disciplina | 150.15195 |
Soggetto topico |
Psychometrics
Psychology - Research Psychology - Mathematical models Statistics - Study and teaching (Higher) |
Soggetto genere / forma | Electronic books. |
ISBN | 0-19-939579-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Straightforward Statistics; Copyright; Contents; Preface; Acknowledgements; chapter 1 Prelude: Why Do I Need to Learn Statistics?; The Nature of Findings and Factsin the Behavioral Sciences; Statistical Significance and Effect Size; Descriptive and Inferential Statistics; A Conceptual Approach to Teachingand Learning Statistics; The Nature of this Book; How to Approach this Class andWhat You Should Get Out of It; Key Terms; chapter 2 Describing a Single Variable; Variables, Values, and Scores; Types of Variables; Describing Scores for a Single Variable; Indices of Central Tendency
Indices of Variability (and the SheerBeauty of Standard Deviation!)Rounding; Describing Frequencies of Valuesfor a Single Variable; Representing Frequency Data Graphically; Describing Data for a Categorical Variable; A Real Research Example; Summary; Key Terms; chapter 3 Standardized Scores; When a Z-Score Equals 0, the Raw ScoreIt Corresponds to Must Equal the Mean; Verbal Scores for the MadupistanAptitude Measure; Quantitative Scores for theMadupistan Aptitude Measure; Every Raw Score for Any VariableCorresponds to a Particular Z-Score Computing Z-Scores for All Studentsfor the Madupistan Verbal TestComputing Raw Scores from Z-Scores; Comparing Your GPA of 3.10 from SolidState University with Pat's GPA of 1.95from Advanced Technical University; Each Z-Score for Any VariableCorresponds to a Particular Raw Score; Converting Z-Scores to Raw Scores(The Dorm Resident Example); A Real Research Example; Summary; Key Terms; chapter 4 Correlation; Correlations Are Summaries; Representing a Correlation Graphically; Representing a Correlation Mathematically; Return to Madupistan; Correlation Does Not Imply Causation A Real Research ExampleSummary; Key Terms; chapter 5 Statistical Prediction and Regression; Standardized Regression; Predicting Scores on Y with DifferentAmounts of Information; Beta Weight; Unstandardized Regression Equation; The Regression Line; Quantitatively Estimating the PredictivePower of Your Regression Model; Interpreting r2; A Real Research Example; Conclusion; Key Terms; chapter 6 The Basic Elements of Hypothesis Testing; The Basic Elements ofInferential Statistics; The Normal Distribution; A Real Research Example; Summary; Key Terms; chapter 7 Introduction to Hypothesis Testing The Basic Rationale of Hypothesis TestingUnderstanding the BroaderPopulation of Interest; Population versus Sample Parameters; The Five Basic Steps of Hypothesis Testing; A Real Research Example; Summary; Key Terms; chapter 8 Hypothesis Testing if N > 1; The Distribution of Means; Steps in Hypothesis Testing if N > 1; Confidence Intervals; Real Research Example; Summary; Key Terms; chapter 9 Statistical Power; What Is Statistical Power?; An Example of Statistical Power; Factors that Affect Statistical Power; A Real Research Example; Summary; Key Terms chapter 10 t-tests (One-Sample and Within-Groups) |
Record Nr. | UNINA-9910458293603321 |
Geher Glenn
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New York, New York : , : Oxford University Press, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall |
Autore | Geher Glenn |
Pubbl/distr/stampa | Oxford : , : Oxford University Press, , [2014] |
Descrizione fisica | 1 online resource (481 pages) |
Disciplina | 150.15195 |
Soggetto topico |
Psychometrics
Psychology - Research Psychology - Mathematical models Statistics - Study and teaching (Higher) |
ISBN | 0-19-939579-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Straightforward Statistics; Copyright; Contents; Preface; Acknowledgements; chapter 1 Prelude: Why Do I Need to Learn Statistics?; The Nature of Findings and Factsin the Behavioral Sciences; Statistical Significance and Effect Size; Descriptive and Inferential Statistics; A Conceptual Approach to Teachingand Learning Statistics; The Nature of this Book; How to Approach this Class andWhat You Should Get Out of It; Key Terms; chapter 2 Describing a Single Variable; Variables, Values, and Scores; Types of Variables; Describing Scores for a Single Variable; Indices of Central Tendency
Indices of Variability (and the SheerBeauty of Standard Deviation!)Rounding; Describing Frequencies of Valuesfor a Single Variable; Representing Frequency Data Graphically; Describing Data for a Categorical Variable; A Real Research Example; Summary; Key Terms; chapter 3 Standardized Scores; When a Z-Score Equals 0, the Raw ScoreIt Corresponds to Must Equal the Mean; Verbal Scores for the MadupistanAptitude Measure; Quantitative Scores for theMadupistan Aptitude Measure; Every Raw Score for Any VariableCorresponds to a Particular Z-Score Computing Z-Scores for All Studentsfor the Madupistan Verbal TestComputing Raw Scores from Z-Scores; Comparing Your GPA of 3.10 from SolidState University with Pat's GPA of 1.95from Advanced Technical University; Each Z-Score for Any VariableCorresponds to a Particular Raw Score; Converting Z-Scores to Raw Scores(The Dorm Resident Example); A Real Research Example; Summary; Key Terms; chapter 4 Correlation; Correlations Are Summaries; Representing a Correlation Graphically; Representing a Correlation Mathematically; Return to Madupistan; Correlation Does Not Imply Causation A Real Research ExampleSummary; Key Terms; chapter 5 Statistical Prediction and Regression; Standardized Regression; Predicting Scores on Y with DifferentAmounts of Information; Beta Weight; Unstandardized Regression Equation; The Regression Line; Quantitatively Estimating the PredictivePower of Your Regression Model; Interpreting r2; A Real Research Example; Conclusion; Key Terms; chapter 6 The Basic Elements of Hypothesis Testing; The Basic Elements ofInferential Statistics; The Normal Distribution; A Real Research Example; Summary; Key Terms; chapter 7 Introduction to Hypothesis Testing The Basic Rationale of Hypothesis TestingUnderstanding the BroaderPopulation of Interest; Population versus Sample Parameters; The Five Basic Steps of Hypothesis Testing; A Real Research Example; Summary; Key Terms; chapter 8 Hypothesis Testing if N > 1; The Distribution of Means; Steps in Hypothesis Testing if N > 1; Confidence Intervals; Real Research Example; Summary; Key Terms; chapter 9 Statistical Power; What Is Statistical Power?; An Example of Statistical Power; Factors that Affect Statistical Power; A Real Research Example; Summary; Key Terms chapter 10 t-tests (One-Sample and Within-Groups) |
Record Nr. | UNINA-9910790902003321 |
Geher Glenn
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Oxford : , : Oxford University Press, , [2014] | ||
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Lo trovi qui: Univ. Federico II | ||
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Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall |
Autore | Geher Glenn |
Pubbl/distr/stampa | Oxford : , : Oxford University Press, , [2014] |
Descrizione fisica | 1 online resource (481 pages) |
Disciplina | 150.15195 |
Soggetto topico |
Psychometrics
Psychology - Research Psychology - Mathematical models Statistics - Study and teaching (Higher) |
ISBN | 0-19-939579-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Straightforward Statistics; Copyright; Contents; Preface; Acknowledgements; chapter 1 Prelude: Why Do I Need to Learn Statistics?; The Nature of Findings and Factsin the Behavioral Sciences; Statistical Significance and Effect Size; Descriptive and Inferential Statistics; A Conceptual Approach to Teachingand Learning Statistics; The Nature of this Book; How to Approach this Class andWhat You Should Get Out of It; Key Terms; chapter 2 Describing a Single Variable; Variables, Values, and Scores; Types of Variables; Describing Scores for a Single Variable; Indices of Central Tendency
Indices of Variability (and the SheerBeauty of Standard Deviation!)Rounding; Describing Frequencies of Valuesfor a Single Variable; Representing Frequency Data Graphically; Describing Data for a Categorical Variable; A Real Research Example; Summary; Key Terms; chapter 3 Standardized Scores; When a Z-Score Equals 0, the Raw ScoreIt Corresponds to Must Equal the Mean; Verbal Scores for the MadupistanAptitude Measure; Quantitative Scores for theMadupistan Aptitude Measure; Every Raw Score for Any VariableCorresponds to a Particular Z-Score Computing Z-Scores for All Studentsfor the Madupistan Verbal TestComputing Raw Scores from Z-Scores; Comparing Your GPA of 3.10 from SolidState University with Pat's GPA of 1.95from Advanced Technical University; Each Z-Score for Any VariableCorresponds to a Particular Raw Score; Converting Z-Scores to Raw Scores(The Dorm Resident Example); A Real Research Example; Summary; Key Terms; chapter 4 Correlation; Correlations Are Summaries; Representing a Correlation Graphically; Representing a Correlation Mathematically; Return to Madupistan; Correlation Does Not Imply Causation A Real Research ExampleSummary; Key Terms; chapter 5 Statistical Prediction and Regression; Standardized Regression; Predicting Scores on Y with DifferentAmounts of Information; Beta Weight; Unstandardized Regression Equation; The Regression Line; Quantitatively Estimating the PredictivePower of Your Regression Model; Interpreting r2; A Real Research Example; Conclusion; Key Terms; chapter 6 The Basic Elements of Hypothesis Testing; The Basic Elements ofInferential Statistics; The Normal Distribution; A Real Research Example; Summary; Key Terms; chapter 7 Introduction to Hypothesis Testing The Basic Rationale of Hypothesis TestingUnderstanding the BroaderPopulation of Interest; Population versus Sample Parameters; The Five Basic Steps of Hypothesis Testing; A Real Research Example; Summary; Key Terms; chapter 8 Hypothesis Testing if N > 1; The Distribution of Means; Steps in Hypothesis Testing if N > 1; Confidence Intervals; Real Research Example; Summary; Key Terms; chapter 9 Statistical Power; What Is Statistical Power?; An Example of Statistical Power; Factors that Affect Statistical Power; A Real Research Example; Summary; Key Terms chapter 10 t-tests (One-Sample and Within-Groups) |
Record Nr. | UNINA-9910828437303321 |
Geher Glenn
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Oxford : , : Oxford University Press, , [2014] | ||
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Lo trovi qui: Univ. Federico II | ||
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Trauma, meaning, and spirituality : translating research into clinical practice / / Crystal L. Park, Joseph M. Currier, J. Irene Harris, and Jeanne M. Slattery |
Autore | Park Crystal L. |
Edizione | [First edition.] |
Pubbl/distr/stampa | Washington, DC : , : American Psychological Association, , 2017 |
Descrizione fisica | 1 online resource (vi, 300 pages) |
Disciplina | 616.85/210628 |
Soggetto topico |
Post-traumatic stress disorder
Spiritual healing Psychology - Mathematical models Trauma and Stressor Related Disorders - psychology Spirituality Models, Psychological Counseling - methods |
ISBN | 1-4338-2326-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The intersection of religion/spirituality and trauma -- The centrality of meaning in human lives -- Reciprocal relationships between spirituality and trauma -- Current treatment approaches to trauma and PTSD -- The reciprocal meaning model : clinical implications -- Assessment from the reciprocal meaning making perspective -- Overview of treatment issues from the reciprocal meaning making model -- The therapist's place in the reciprocal meaning making model -- Working with beliefs, goals and values -- Interventions for helping clients resolve spiritual struggle and increase spiritual well-being -- Developing resilience -- Ethical considerations for addressing spirituality with trauma survivors from a reciprocal perspective -- Applications and future development of the reciprocal meaning making model. |
Record Nr. | UNINA-9910155032303321 |
Park Crystal L.
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Washington, DC : , : American Psychological Association, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Tutorials in contemporary nonlinear methods for the behavioral sciences [[electronic resource] /] / edited by Michael A. Riley & Guy C. Van Orden |
Pubbl/distr/stampa | [Arlington, VA] : , : [National Science Foundation], , [2005] |
Descrizione fisica | 6 unnumbered pages, 400 pages : digital, PDF file |
Altri autori (Persone) |
RileyMichael A
Van OrdenGuy C |
Soggetto topico |
Nonlinear theories
Psychology - Mathematical models Statics and dynamics (Social sciences) |
Soggetto genere / forma | Conference papers and proceedings. |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910695279803321 |
[Arlington, VA] : , : [National Science Foundation], , [2005] | ||
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Lo trovi qui: Univ. Federico II | ||
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