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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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Explaining psychological statistics / / Barry H. Cohen
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->  
Hoboken, New Jersey : , : Wiley, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Explaining psychological statistics / / Barry H. Cohen
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->  
Hoboken, New Jersey : , : Wiley, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MSOR connections
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall
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  
New York, New York : , : Oxford University Press, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall
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  
Oxford : , : Oxford University Press, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall
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  
Oxford : , : Oxford University Press, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Teaching statistics : a bag of tricks / Andrew Gelman, Deborah Nolan
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  
Oxford ; New York : Oxford University Press, c2002
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui