Explaining Psychological Statistics.

Now in its 4th edition, this popular and comprehensive graduate-level statistics text offers students an easy to grasp and non-intimidating approach to statistics for the non-mathematician. The text provides practical coverage of SPSS in every chapter, including screen shots, procedures, exercises,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cohen, Barry H.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Wiley, 2013.
Temas:
Psychometrics.
Psychology > Mathematical models.
Statistics > Study and teaching (Higher)
Psychometrics
Psychométrie.
Psychologie > Modèles mathématiques.
Psychology > Mathematical models
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Title Page
  • Copyright
  • Dedication
  • Preface to the Fourth Edition
  • The ABC Format
  • The Organization of the Chapters
  • A Note About the Use of Calculators
  • Appendixes
  • Resources for Instructors
  • Resources for Students
  • My Own Statistics Web Pages
  • 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 Samples
  • Statistical Formulas
  • A. Summary
  • Exercises
  • B. BASIC STATISTICAL PROCEDURES
  • Variables With Subscripts
  • The Summation Sign
  • Properties of the Summation Sign
  • Rounding Off Numbers
  • B. 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 Distribution
  • Percentiles
  • Graphs
  • Real Versus Theoretical Distributions
  • A. 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
  • B. Summary
  • Exercises
  • C. ANALYSIS BY SPSS
  • Creating 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
  • A. 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 Deviation
  • Measuring Skewness
  • Measuring Kurtosis
  • B. Summary
  • Exercises
  • C. ANALYSIS BY SPSS
  • Summary Statistics

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