Introduction to statistics in psychology

Content: Cover
 Contents
 Guided tour
 Introduction
 Acknowledgements
 1 Why statistics?
 Overview
 1.1 Introduction
 1.2 Research on learning statistics
 1.3 What makes learning statistics difficult?
 1.4 Positive about statistics
 1.5 What statistics doesnâ#x80
#x99
t do
 1.6 Easing the way
 1.7 What do I need to know to be an effective user of statistics?
 1.8 A few words about SPSS
 Key points
 PART 1 Descriptive statistics
 2 Some basics: Variability and measurement
 Overview
 2.1 Introduction
 2.2 Variables and measurement
 2.3 Major types of measurement
 Key points
 Computer analysis 3 Describing variables: Tables and diagramsOverview
 3.1 Introduction
 3.2 Choosing tables and diagrams
 3.3 Errors to avoid
 Key points
 Computer analysis
 4 Describing variables numerically: Averages, variation and spread
 Overview
 4.1 Introduction
 4.2 Typical scores: mean, median and mode
 4.3 Comparison of mean, median and mode
 4.4 The spread of scores: variability
 Key points
 Computer analysis
 5 Shapes of distributions of scores
 Overview
 5.1 Introduction
 5.2 Histograms and frequency curves
 5.3 The normal curve
 5.4 Distorted curves
 5.5 Other frequency curves
 Key points Computer analysis6 Standard deviation and z-scores: The standard unit of measurement in statistics
 Overview
 6.1 Introduction
 6.2 Theoretical background
 6.3 Measuring the number of standard deviations â#x80
#x93
 the z -score
 6.4 A use of z -scores
 6.5 The standard normal distribution
 6.6 An important feature of z-scores
 Key points
 Computer analysis
 7 Relationships between two or more variables: Diagrams and tables
 Overview
 7.1 Introduction
 7.2 The principles of diagrammatic and tabular presentation
 7.3 Type A: both variables numerical scores 7.4 Type B: both variables nominal categories7.5 Type C: one variable nominal categories, the other numerical scores
 Key points
 Computer analysis
 8 Correlation coefficients: Pearson correlation and Spearmanâ#x80
#x99
s rho
 Overview
 8.1 Introduction
 8.2 Principles of the correlation coefficient
 8.3 Some rules to check out
 8.4 Coefficient of determination
 8.5 Significance testing
 8.6 Spearmanâ#x80
#x99
s rho â#x80
#x93
 another correlation coefficient
 8.7 An example from the literature
 Key points
 Computer analysis
 9 Regression: Prediction with precision
 Overview
 9.1 Introduction 9.2 Theoretical background and regression equations9.3 Standard error: how accurate are the predicted score and the regression equations?
 Key points
 Computer analysis
 PART 2 Significance testing
 10 Samples and populations: Generalising and inferring
 Overview
 10.1 Introduction
 10.2 Theoretical considerations
 10.3 The characteristics of random samples
 10.4 Confidence intervals
 Key points
 Computer analysis
 11 Statistical significance for the correlation coefficient: A practical introduction to statistical inference
 Overview
 11.1 Introduction
 11.2 Theoretical considerations