Degrees of freedom |
Pubbl/distr/stampa | Australia : , : University of Melbourne, , [2017] |
Descrizione fisica | 1 online resource (1 video file (6 min., 4 sec.)) : sound, colour |
Disciplina | 150.727 |
Collana | Statistics for psychology |
Soggetto topico |
Psychology - Statistical methods
Psychology - Research - Statistical methods |
Soggetto genere / forma |
Nonfiction television programs.
Internet videos. |
ISBN | 1-4739-9743-7 |
Formato | Videoregistrazioni ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910728520303321 |
Australia : , : University of Melbourne, , [2017] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Introduction to research methods and data analysis in psychology [[electronic resource] /] / Darren Langdridge, Gareth Hagger-Johnson |
Autore | Langdridge Darren |
Edizione | [3rd ed.] |
Pubbl/distr/stampa | Harlow, : Pearson, 2013 |
Descrizione fisica | 1 online resource (xxviii, 611 p.) : ill |
Disciplina | 150.721 |
Altri autori (Persone) | Hagger-JohnsonGareth |
Soggetto topico |
Psychology - Research - Methodology
Psychology - Statistical methods Psychology |
ISBN | 0-273-75688-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1 Introducing research methods -- 1 Starting out in research -- 2 Variables: definitions and measurement -- 3 Reliability, validity, sampling and groups -- 4 Collecting data 1: interviews and observation -- 5 Collecting data 2: questionnaires and psychometric tests -- 6 Collecting data 3: experimental and quasi-experimental designs -- 7 E-research -- Part 2 Analysing quantitative data -- 8 Fundamentals of statistics -- 9 Entering and manipulating data -- 10 Graphical representation and descriptive statistics -- 11 Bivariate analysis 1: exploring differences between variables -- 12 Bivariate analysis 2: exploring relationships between variables -- 13 Analysis of variance (ANOVA) -- 14 Multivariate analysis of variance (MANOVA) -- 15 Regression -- Statistical test flowchart -- 16 Exploratory factor analysis (EFA) -- 17 Introducing R and R commander -- Part 3 Analysing qualitative data -- 18 Fundamentals of qualitative research -- 19 Transcribing, coding and organising textual data -- 20 Phenomenological research methods -- 21 Grounded theory -- 22 Discourse analysis -- 23 Life story and narrative research -- 24 The use of computers in qualitative research -- 25 Mixed methods -- Part 4 Ethics and reporting fi ndings -- 26 The ethics and politics of psychological research -- 27 Reporting and presenting findings -- Appendix: Tables of critical values for statistical tests -- References -- Index. |
Record Nr. | UNINA-9910150206603321 |
Langdridge Darren
![]() |
||
Harlow, : Pearson, 2013 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Introduction to statistics and SPSS in psychology / / Andrew Mayers |
Autore | Mayers Andrew |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Harlow, England : , : Pearson, , [2013] |
Descrizione fisica | 1 online resource (626 pages) : illustrations (some color) |
Disciplina | 150.15195 |
Collana | Always learning |
Soggetto topico |
Psychometrics
Psychology - Statistical methods |
ISBN | 0-273-73102-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Contents -- About the author -- Acknowledgements -- Publisher's acknowledgments -- Guided tour -- 1 Introduction -- Why I wrote this book - what's in it for you? -- Why do psychologists need to know about statistics? -- How this book is laid out - what you can expect -- Online resources -- 2 SPSS - the basics -- Learning objectives -- Introduction -- Viewing options in SPSS -- Defining variable parameters -- Entering data -- SPSS menus (and icons) -- Syntax -- Chapter summary -- Extended learning task -- 3 Normal distribution -- Learning objectives -- What is normal distribution? -- Measuring normal distribution -- Statistical assessment of normal distribution -- Adjusting non-normal data -- Homogeneity of between-group variance -- Sphericity of within-group variance -- Chapter summary -- Extended learning task -- 4 Significance, effect size and power -- Learning objectives -- Introduction -- Statistical significance -- Significance and hypotheses -- Measuring statistical significance -- Effect size -- Statistical power -- Measuring effect size and power using G*Power -- Chapter summary -- Extended learning task -- 5 Experimental methods - how to choose the correct statistical test -- Learning objectives -- Introduction -- Conducting 'experiments' in psychology -- Factors that determine the appropriate statistical test -- Exploring differences -- Examining relationships -- Validity and reliability -- Chapter summary -- Extended learning task -- 6 Correlation -- Learning objectives -- What is correlation? -- Theory and rationale -- Pearson's correlation -- Spearman's rank correlation -- Kendall's Tau-b -- Biserial (and point-biserial) correlation -- Partial correlation -- Semi-partial correlation -- Chapter summary -- Research example -- Extended learning task -- 7 Independent t-test -- Learning objectives -- What is a t-test?.
Theory and rationale -- How SPSS performs an independent t-test -- Interpretation of output -- Effect size and power -- Writing up results -- Presenting data graphically -- Chapter summary -- Research example -- Extended learning task -- 8 Related t-test -- Learning objectives -- What is the related t-test? -- Theory and rationale -- How SPSS performs the related t-test -- Interpretation of output -- Effect size and power -- Writing up results -- Presenting data graphically -- Chapter summary -- Research example -- Extended learning task -- 9 Independent one-way ANOVA -- Learning objectives -- Setting the scene: what is ANOVA? -- Theory and rationale -- How SPSS performs independent one-way ANOVA -- Interpretation of output -- Effect size and power -- Writing up results -- Presenting data graphically -- Chapter summary -- Research example -- Extended learning task -- 10 Repeated-measures one-way ANOVA -- Learning objectives -- What is repeated-measures one-way ANOVA? -- Theory and rationale -- How SPSS performs repeated-measures one-way ANOVA -- Interpretation of output -- Effect size and power -- Writing up results -- Presenting data graphically -- Chapter summary -- Research example -- Extended learning task -- 11 Independent multi-factorial ANOVA -- Learning objectives -- What is independent multi-factorial ANOVA? -- Theory and rationale -- How SPSS performs independent multi-factorial ANOVA -- Interpretation of output -- Effect size and power -- Writing up results -- Chapter summary -- Research example -- Extended learning task -- Appendix to Chapter 11: Exploring simple effects -- 12 Repeated-measures multi-factorial ANOVA -- Learning objectives -- What is repeated-measures multi-factorial ANOVA? -- Theory and rationale -- How SPSS performs repeated-measures multi-factorial ANOVA -- Effect size and power -- Writing up results -- Chapter summary. Research example -- Extended learning task -- 13 Mixed multi-factorial ANOVA -- Learning objectives -- What is mixed multi-factorial ANOVA? -- Theory and rationale -- How SPSS performs mixed multi-factorial ANOVA -- Effect size and power -- Writing up results -- Chapter summary -- Research example -- Extended learning task -- 14 Multivariate analyses -- Learning objectives -- What are multivariate analyses? -- What is MANOVA? -- Theory and rationale -- How SPSS performs MANOVA -- Interpretation of output -- Effect size and power -- Writing up results -- Presenting data graphically -- Repeated-measures MANOVA -- Theory and rationale -- How SPSS performs repeated-measures MANOVA -- Interpretation of output -- Effect size and power -- Writing up results -- Chapter summary -- Research example (MANOVA) -- Research example (repeated-measures MANOVA) -- Extended learning tasks -- Appendix to Chapter 14: Manual calculations for MANOVA -- 15 Analyses of covariance -- Learning objectives -- What are analyses of covariance? -- What is ANCOVA? -- Theory and rationale -- How SPSS performs ANCOVA -- Effect size and power -- Writing up results -- MANCOVA: multivariate analysis of covariance -- How SPSS performs MANCOVA -- Effect size and power -- Writing up results -- Chapter summary -- Research examples -- Extended learning tasks -- Appendix to Chapter 15: Mathematics behind (univariate) ANCOVA -- 16 Linear and multiple linear regression -- Learning objectives -- What is linear regression? -- Theory and rationale -- Simple linear regression -- Effect size and power -- Writing up results -- Multiple linear regression -- How SPSS performs multiple linear regression -- Chapter summary -- Research example -- Extended learning task -- Appendix to Chapter 16: Calculating multiple linear regression manually -- 17 Logistic regression -- Learning objectives. What is (binary) logistic regression? -- Theory and rationale -- How SPSS performs logistic regression -- Writing up results -- Chapter summary -- Research example -- Extended learning task -- 18 Non-parametric tests -- Learning objectives -- Introduction -- Common issues in non-parametric tests -- Mann-Whitney U test -- How SPSS performs the Mann-Whitney U -- Wilcoxon signed-rank test -- How SPSS performs the Wilcoxon signed-rank test -- Kruskal-Wallis test -- How SPSS performs Kruskal-Wallis -- Friedman's ANOVA -- How SPSS performs Friedman's ANOVA -- Chapter summary -- 19 Tests for categorical variables -- Learning objectives -- What are tests for categorical variables? -- Theory and rationale -- Measuring outcomes statistically -- Categorical tests with more than two variables -- Loglinear analysis when saturated model is rejected -- Chapter summary -- Research example -- Extended learning task -- 20 Factor analysis -- Learning objectives -- What is factor analysis? -- Theory and rationale -- How SPSS performs principal components analysis -- Writing up results -- Chapter summary -- Research example -- Extended learning task -- 21 Reliability analysis -- Learning objectives -- What is reliability analysis? -- Theory and rationale -- How SPSS performs reliability analysis -- Writing up results -- Chapter summary -- Research example -- Extended learning task -- Appendix 1: Normal distribution (z-score) table -- Appendix 2: t-distribution table -- Appendix 3: r-distribution table -- Appendix 4: F-distribution table -- Appendix 5: U-distribution table -- Appendix 6: Chi-square ( X[sup(2)]) distribution table -- References -- Glossary -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R. S -- T -- U -- V -- W -- Y -- Z. |
Record Nr. | UNINA-9910150208003321 |
Mayers Andrew
![]() |
||
Harlow, England : , : Pearson, , [2013] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Introduzione all'uso della statistica in psicologia / Alessandra Areni, Anna Paola Ercolani, Teresa Gloria Scalisi |
Autore | Areni, Alessandra |
Pubbl/distr/stampa | Milano : LED - Edizioni universitarie di lettere, economia, diritto, c1994 |
Descrizione fisica | 212 p. ; 21 cm |
Disciplina | 150.727 |
Altri autori (Persone) |
Ercolani, Anna Paolaauthor
Scalisi, Teresa Gloria |
Collana | Metodo |
Soggetto topico |
Statistica psicologica
Psicologia - Metodologia Psychology - Statistical methods |
ISBN | 8879160486 |
Classificazione | LC BF39 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISALENTO-991002084079707536 |
Areni, Alessandra
![]() |
||
Milano : LED - Edizioni universitarie di lettere, economia, diritto, c1994 | ||
![]() | ||
Lo trovi qui: Univ. del Salento | ||
|
Invariant measurement : using Rasch models in the social, behavioral, and health sciences / / George Engelhard, Jr |
Autore | Engelhard George <1953-, > |
Pubbl/distr/stampa | New York, N.Y. : , : Psychology Press, , 2013 |
Descrizione fisica | 1 online resource (514 p.) |
Disciplina | 150.28/7 |
Soggetto topico |
Psychometrics
Invariant measures Rasch models Psychology - Statistical methods Social sciences - Statistical methods |
Soggetto genere / forma | Electronic books. |
ISBN |
0-203-07363-0
1-135-10453-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title; Copyright; Dedication; Contents; Preface; Acknowledgments; About the Author; PART I Introduction; 1 Introduction and Overview; Variable Maps; What Are Logits?; The Dichotomous Rasch Model; Five Requirements of Invariant Measurement; Method and Meaning of Rasch Measurement; Illustrative Data Set: Measuring the Home Environment; Discussion and Summary; PART II Conceptual and Theoretical Issues; 2 Invariant Measurement; What Is Measurement?; What Is Invariant Measurement?; Ideal-Type Scales and the Structure of Measurement Data; What Are Rasch Models?
Item-Invariant Person MeasurementPerson-Invariant Item Calibration; Discussion and Summary; 3 Rasch Models; Operating Characteristic Functions; Dichotomous Rasch Model; Polytomous Rasch Models; Partial Credit Model; Rating Scale Model; Many Facet Model; Discussion and Summary; 4 Researcher-Constructed Measures; Building Blocks for Researcher-Constructed Measures; 1. Latent variable: What Is the Latent Variable Being Measured?; 2. Observational Design: What Is the Plan for Collecting Structured Observations or Responses from Persons in Order to Define the Latent Variable? 3. Scoring Rules: How Do We Categorize the Systematic Observations, and then Assign Scores to the Categories To Be Used as Indicators of the Latent Variable?4. Rasch Measurement Model: How Are Person and Item Responses or Observations Mapped onto the Latent Variable?; Applications; 1. Learning Stimulation in the Home Environments of Preschool Children; 2. Assessment in the Health Sciences: The Five Rights of Safe Administration of Medications; Discussion and Summary; 5 An Historical and Comparative Perspective on Research Traditions in Measurement; What Are Measurement Theories? What Are Research Traditions?What Are the Two Major Research Traditions in Measurement?; Test-Score Tradition; 1. The Founding of Classical Test Theory: Spearman; 2. Generalizability Theory: Cronbach and His Colleagues; 3. Factor Analysis: Spearman and Thurstone; 4. Structural Equation Modeling: Joreskog; Scaling Tradition; 1. Psychophysics and the Beginning of the Scaling Tradition: Thorndike; 2. Absolute Scaling and Psychophysics: Thurstone; 3. Item Response Theory: Birnbaum and Rasch; 4. Non-Parametric Item Response Theory: Guttman, Lazarsfeld, and Mokken; Discussion and Summary 6 The Quest for Invariant Measurement within the Scaling TraditionGeneral Issues Guiding the Comparisons among the Scaling Theories; Item-Invariant Person Measurement; 1. Parametric Models: Thorndike, Thurstone, Birnbaum, and Rasch; 2. Non-Parametric Models: Guttman, Lazarsfeld, and Mokken; Person-Invariant Item Calibration; 1. Parametric Models: Thorndike, Thurstone, Birnbaum, and Rasch; 2. Non-Parametric Models: Guttman, Lazarsfeld, and Mokken; Operating Characteristic Functions; 1. Item Response Functions; 2. Person Response Functions; Variable Maps; Discussion and Summary PART III Technical Issues |
Record Nr. | UNINA-9910462952303321 |
Engelhard George <1953-, >
![]() |
||
New York, N.Y. : , : Psychology Press, , 2013 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Invariant measurement : using Rasch models in the social, behavioral, and health sciences / / George Engelhard, Jr |
Autore | Engelhard George <1953-, > |
Pubbl/distr/stampa | New York, N.Y. : , : Psychology Press, , 2013 |
Descrizione fisica | 1 online resource (514 p.) |
Disciplina | 150.28/7 |
Soggetto topico |
Psychometrics
Invariant measures Rasch models Psychology - Statistical methods Social sciences - Statistical methods |
ISBN |
1-135-10452-2
0-203-07363-0 1-135-10453-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title; Copyright; Dedication; Contents; Preface; Acknowledgments; About the Author; PART I Introduction; 1 Introduction and Overview; Variable Maps; What Are Logits?; The Dichotomous Rasch Model; Five Requirements of Invariant Measurement; Method and Meaning of Rasch Measurement; Illustrative Data Set: Measuring the Home Environment; Discussion and Summary; PART II Conceptual and Theoretical Issues; 2 Invariant Measurement; What Is Measurement?; What Is Invariant Measurement?; Ideal-Type Scales and the Structure of Measurement Data; What Are Rasch Models?
Item-Invariant Person MeasurementPerson-Invariant Item Calibration; Discussion and Summary; 3 Rasch Models; Operating Characteristic Functions; Dichotomous Rasch Model; Polytomous Rasch Models; Partial Credit Model; Rating Scale Model; Many Facet Model; Discussion and Summary; 4 Researcher-Constructed Measures; Building Blocks for Researcher-Constructed Measures; 1. Latent variable: What Is the Latent Variable Being Measured?; 2. Observational Design: What Is the Plan for Collecting Structured Observations or Responses from Persons in Order to Define the Latent Variable? 3. Scoring Rules: How Do We Categorize the Systematic Observations, and then Assign Scores to the Categories To Be Used as Indicators of the Latent Variable?4. Rasch Measurement Model: How Are Person and Item Responses or Observations Mapped onto the Latent Variable?; Applications; 1. Learning Stimulation in the Home Environments of Preschool Children; 2. Assessment in the Health Sciences: The Five Rights of Safe Administration of Medications; Discussion and Summary; 5 An Historical and Comparative Perspective on Research Traditions in Measurement; What Are Measurement Theories? What Are Research Traditions?What Are the Two Major Research Traditions in Measurement?; Test-Score Tradition; 1. The Founding of Classical Test Theory: Spearman; 2. Generalizability Theory: Cronbach and His Colleagues; 3. Factor Analysis: Spearman and Thurstone; 4. Structural Equation Modeling: Joreskog; Scaling Tradition; 1. Psychophysics and the Beginning of the Scaling Tradition: Thorndike; 2. Absolute Scaling and Psychophysics: Thurstone; 3. Item Response Theory: Birnbaum and Rasch; 4. Non-Parametric Item Response Theory: Guttman, Lazarsfeld, and Mokken; Discussion and Summary 6 The Quest for Invariant Measurement within the Scaling TraditionGeneral Issues Guiding the Comparisons among the Scaling Theories; Item-Invariant Person Measurement; 1. Parametric Models: Thorndike, Thurstone, Birnbaum, and Rasch; 2. Non-Parametric Models: Guttman, Lazarsfeld, and Mokken; Person-Invariant Item Calibration; 1. Parametric Models: Thorndike, Thurstone, Birnbaum, and Rasch; 2. Non-Parametric Models: Guttman, Lazarsfeld, and Mokken; Operating Characteristic Functions; 1. Item Response Functions; 2. Person Response Functions; Variable Maps; Discussion and Summary PART III Technical Issues |
Record Nr. | UNINA-9910786717203321 |
Engelhard George <1953-, >
![]() |
||
New York, N.Y. : , : Psychology Press, , 2013 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Invariant measurement : using Rasch models in the social, behavioral, and health sciences / / George Engelhard, Jr |
Autore | Engelhard George <1953-, > |
Pubbl/distr/stampa | New York, N.Y. : , : Psychology Press, , 2013 |
Descrizione fisica | 1 online resource (514 p.) |
Disciplina | 150.28/7 |
Soggetto topico |
Psychometrics
Invariant measures Rasch models Psychology - Statistical methods Social sciences - Statistical methods |
ISBN |
1-135-10452-2
0-203-07363-0 1-135-10453-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title; Copyright; Dedication; Contents; Preface; Acknowledgments; About the Author; PART I Introduction; 1 Introduction and Overview; Variable Maps; What Are Logits?; The Dichotomous Rasch Model; Five Requirements of Invariant Measurement; Method and Meaning of Rasch Measurement; Illustrative Data Set: Measuring the Home Environment; Discussion and Summary; PART II Conceptual and Theoretical Issues; 2 Invariant Measurement; What Is Measurement?; What Is Invariant Measurement?; Ideal-Type Scales and the Structure of Measurement Data; What Are Rasch Models?
Item-Invariant Person MeasurementPerson-Invariant Item Calibration; Discussion and Summary; 3 Rasch Models; Operating Characteristic Functions; Dichotomous Rasch Model; Polytomous Rasch Models; Partial Credit Model; Rating Scale Model; Many Facet Model; Discussion and Summary; 4 Researcher-Constructed Measures; Building Blocks for Researcher-Constructed Measures; 1. Latent variable: What Is the Latent Variable Being Measured?; 2. Observational Design: What Is the Plan for Collecting Structured Observations or Responses from Persons in Order to Define the Latent Variable? 3. Scoring Rules: How Do We Categorize the Systematic Observations, and then Assign Scores to the Categories To Be Used as Indicators of the Latent Variable?4. Rasch Measurement Model: How Are Person and Item Responses or Observations Mapped onto the Latent Variable?; Applications; 1. Learning Stimulation in the Home Environments of Preschool Children; 2. Assessment in the Health Sciences: The Five Rights of Safe Administration of Medications; Discussion and Summary; 5 An Historical and Comparative Perspective on Research Traditions in Measurement; What Are Measurement Theories? What Are Research Traditions?What Are the Two Major Research Traditions in Measurement?; Test-Score Tradition; 1. The Founding of Classical Test Theory: Spearman; 2. Generalizability Theory: Cronbach and His Colleagues; 3. Factor Analysis: Spearman and Thurstone; 4. Structural Equation Modeling: Joreskog; Scaling Tradition; 1. Psychophysics and the Beginning of the Scaling Tradition: Thorndike; 2. Absolute Scaling and Psychophysics: Thurstone; 3. Item Response Theory: Birnbaum and Rasch; 4. Non-Parametric Item Response Theory: Guttman, Lazarsfeld, and Mokken; Discussion and Summary 6 The Quest for Invariant Measurement within the Scaling TraditionGeneral Issues Guiding the Comparisons among the Scaling Theories; Item-Invariant Person Measurement; 1. Parametric Models: Thorndike, Thurstone, Birnbaum, and Rasch; 2. Non-Parametric Models: Guttman, Lazarsfeld, and Mokken; Person-Invariant Item Calibration; 1. Parametric Models: Thorndike, Thurstone, Birnbaum, and Rasch; 2. Non-Parametric Models: Guttman, Lazarsfeld, and Mokken; Operating Characteristic Functions; 1. Item Response Functions; 2. Person Response Functions; Variable Maps; Discussion and Summary PART III Technical Issues |
Record Nr. | UNINA-9910810687203321 |
Engelhard George <1953-, >
![]() |
||
New York, N.Y. : , : Psychology Press, , 2013 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Learning to use statistical tests in psychology [[electronic resource] /] / Judith Greene and Manuela d'Oliveira |
Autore | Greene Judith |
Edizione | [3rd ed.] |
Pubbl/distr/stampa | Maidenhead, : Open University Press, 2006 |
Descrizione fisica | 1 online resource (226 p.) |
Disciplina | 150.727 |
Altri autori (Persone) | D'OliveiraManuela |
Soggetto topico |
Psychometrics
Psychology - Statistical methods Psychology - Research |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-95387-X
9786610953875 0-335-22560-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover; Halftitle; Title; Copyright; Dedication; Contents; Preface to the third edition; Study guide for students; Acknowledgements; Part 1; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Part 2; Chapter 5; Chapter 6; Chapter 7; Chapter 8; Chapter 9; Chapter 10; Chapter 11; Chapter 12; Part 3; Chapter 13; Chapter 14; Chapter 15; Chapter 16; Chapter 17; Chapter 18; Chapter 19; Part 4; Chapter 20; Chapter 21; Chapter 22; Chapter 23; Chapter 24; Answers to Questions; Recommended Reading; References; Statistical Tables; Decision Chart |
Record Nr. | UNINA-9910457896303321 |
Greene Judith
![]() |
||
Maidenhead, : Open University Press, 2006 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Learning to use statistical tests in psychology [[electronic resource] /] / Judith Greene and Manuela d'Oliveira |
Autore | Greene Judith |
Edizione | [3rd ed.] |
Pubbl/distr/stampa | Maidenhead, : Open University Press, 2006 |
Descrizione fisica | 1 online resource (226 p.) |
Disciplina | 150.727 |
Altri autori (Persone) | D'OliveiraManuela |
Soggetto topico |
Psychometrics
Psychology - Statistical methods Psychology - Research |
ISBN |
1-280-95387-X
9786610953875 0-335-22560-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover; Halftitle; Title; Copyright; Dedication; Contents; Preface to the third edition; Study guide for students; Acknowledgements; Part 1; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Part 2; Chapter 5; Chapter 6; Chapter 7; Chapter 8; Chapter 9; Chapter 10; Chapter 11; Chapter 12; Part 3; Chapter 13; Chapter 14; Chapter 15; Chapter 16; Chapter 17; Chapter 18; Chapter 19; Part 4; Chapter 20; Chapter 21; Chapter 22; Chapter 23; Chapter 24; Answers to Questions; Recommended Reading; References; Statistical Tables; Decision Chart |
Record Nr. | UNINA-9910784697203321 |
Greene Judith
![]() |
||
Maidenhead, : Open University Press, 2006 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Learning to use statistical tests in psychology [[electronic resource] /] / Judith Greene and Manuela d'Oliveira |
Autore | Greene Judith |
Edizione | [3rd ed.] |
Pubbl/distr/stampa | Maidenhead, : Open University Press, 2006 |
Descrizione fisica | 1 online resource (226 p.) |
Disciplina | 150.727 |
Altri autori (Persone) | D'OliveiraManuela |
Soggetto topico |
Psychometrics
Psychology - Statistical methods Psychology - Research |
ISBN |
1-280-95387-X
9786610953875 0-335-22560-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover; Halftitle; Title; Copyright; Dedication; Contents; Preface to the third edition; Study guide for students; Acknowledgements; Part 1; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Part 2; Chapter 5; Chapter 6; Chapter 7; Chapter 8; Chapter 9; Chapter 10; Chapter 11; Chapter 12; Part 3; Chapter 13; Chapter 14; Chapter 15; Chapter 16; Chapter 17; Chapter 18; Chapter 19; Part 4; Chapter 20; Chapter 21; Chapter 22; Chapter 23; Chapter 24; Answers to Questions; Recommended Reading; References; Statistical Tables; Decision Chart |
Record Nr. | UNINA-9910813696803321 |
Greene Judith
![]() |
||
Maidenhead, : Open University Press, 2006 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|