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->
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Hoboken, NJ : , : John Wiley & Sons, , 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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Explaining psychological statistics / / Barry H. Cohen |
Autore | Cohen Barry H. <1949-> |
Edizione | [Fourth edition.] |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2013 |
Descrizione fisica | 1 online resource (849 pages) : illustrations, graphs |
Disciplina | 150.1/5195 |
Soggetto topico |
Psychometrics
Psychology - Mathematical models Statistics - Study and teaching (Higher) |
ISBN |
9781118652145
1118652142 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910796094103321 |
Cohen Barry H. <1949->
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Hoboken, New Jersey : , : Wiley, , 2013 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Explaining psychological statistics / / Barry H. Cohen |
Autore | Cohen Barry H. <1949-> |
Edizione | [Fourth edition.] |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2013 |
Descrizione fisica | 1 online resource (849 pages) : illustrations, graphs |
Disciplina | 150.1/5195 |
Soggetto topico |
Psychometrics
Psychology - Mathematical models Statistics - Study and teaching (Higher) |
ISBN |
9781118652145
1118652142 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910820180903321 |
Cohen Barry H. <1949->
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Hoboken, New Jersey : , : Wiley, , 2013 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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MSOR connections |
Pubbl/distr/stampa | Birmingham : , : LTSN Maths, Stats & OR Network |
Descrizione fisica | 1 online resource |
Disciplina | [E] |
Soggetto topico |
Mathematics - Study and teaching (Higher) - Great Britain
Statistics - Study and teaching (Higher) - Great Britain Operations research - Study and teaching (Higher) - Great Britain Mathematics - Study and teaching (Higher) Operations research - Study and teaching (Higher) Statistics - Study and teaching (Higher) |
Soggetto genere / forma |
periodicals.
Periodicals. Périodiques. |
ISSN | 2051-4220 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910140400003321 |
Birmingham : , : LTSN Maths, Stats & OR Network | ||
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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 | 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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Teaching statistics : a bag of tricks / Andrew Gelman, Deborah Nolan |
Autore | Gelman, Andrew |
Pubbl/distr/stampa | Oxford ; New York : Oxford University Press, c2002 |
Descrizione fisica | xv, 299 p. : ill. ; 22 cm |
Disciplina | 519.5 |
Altri autori (Persone) | Nolan, Deborah Annauthor |
Soggetto topico | Statistics - Study and teaching (Higher) |
ISBN | 0198572247 |
Classificazione |
AMS 62-01
LC HA35.G44 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991001585499707536 |
Gelman, Andrew
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Oxford ; New York : Oxford University Press, c2002 | ||
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Lo trovi qui: Univ. del Salento | ||
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