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" Introduction to Statistics in Psychology. "
Dennis Howitt
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BL
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| Record Number
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731713
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b551499
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| Main Entry
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Dennis Howitt
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| Title & Author
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Introduction to Statistics in Psychology.\ Dennis Howitt
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| Edition Statement
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6th edition
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| Publication Statement
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Harlow, England: Pearson, 2013
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| Page. NO
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((760 pages))
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| ISBN
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0132051613
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: 1292000740
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: 1292000759
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: 1306329698
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: 1408250047
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: 9780132051613
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: 9781292000749
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: 9781292000756
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: 9781306329699
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: 9781408250044
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| Contents
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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
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| Abstract
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Focusing on the needs and teaching methods for both students and lecturers, this represents a complete package for teaching statistics to psychology undergraduates.
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| LC Classification
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BF39.D466 2013
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| Added Entry
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Dennis Howitt
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