Basic Statistics for Social Workers covers descriptive and inferential statistics at an introductory level. Using examples from social work, the text covers single-subject analysis, as well as multiple regression. The mathematics is presented in a simple user-friendly manner.
Basic Statistics for Social Workers covers descriptive and inferential statistics at an introductory level. Using examples from social work, the text covers single-subject analysis, as well as multiple regression. The mathematics is presented in a simple user-friendly manner.
Robert A. Schneider, Ph.D., LISW is Associate Professor of Social Work, University of Northern Iowa.
Inhaltsangabe
Chapter 1 For the Instructor Chapter 2 Figures, Images, Equations, and Tables Chapter 3 Introduction: Definition of Statistics Three Reasons to Learn Some Statistics Variables and Attributes Practice Problems Chapter 4 Levels of Measurement: Nominal Level, Categorical Data Ordinal Level Data Continuous, Interval-Ration Level Data Practice Problems Chapter 5 Data Representation: Frequency Tables Histograms Percentiles Practice Problems Chapter 6 Measures of Central Tendency: Mean Median Mode Skewness Practice Problems Chapter 7 Measures of Dispersion: Range Variance Standard Deviation Z-Scores Areas Under the Curve Practice Problems Chapter 8 P-Values: Standard Error of the Mean Area Under the Curve and P-Values Type I and Type II Errors P-Values Confidence Intervals Practice Problems Chapter 9 Measures of Association: Pearson, Spearman, and Point Bi-Serial: Correlations: Causality, Dependence & Association Spearman and Point Bi-Serial Correlations Practice Problems Chapter 10 Multiple Regression: Basics Practice Problems Chapter 11 T-Test and One-Way Analysis of Variance: Basics Directional T-Test One-Way Analysis of Variance Practice Problems Chapter 12 Chi-Square: Chi Square Fisher's Exact Phi Practice Problems Chapter 13 Single System Analysis: Basics Directional T-Test One-Way Analysis of Variance Practice Problems Chapter 14 Intermediate Topics: Multi-way ANOVA Factorial ANOVA Analysis of Covariance (F-Test) Analysis of Covariance (Regression) Practice Problems Chapter 15 Answers to Problems Chapter 16 Index Chapter 17 Table A: Area Under the Curve Chapter 18 Table B: Pearson Product Moment Correlation Coefficients Chapter 19 Table C: T-Test Chapter 20 Table D: Significance of F Chapter 21 Table E: Chi-Square Probabilities Chapter 22 Table F: Table of Random Numbers
Chapter 1 For the Instructor Chapter 2 Figures, Images, Equations, and Tables Chapter 3 Introduction: Definition of Statistics Three Reasons to Learn Some Statistics Variables and Attributes Practice Problems Chapter 4 Levels of Measurement: Nominal Level, Categorical Data Ordinal Level Data Continuous, Interval-Ration Level Data Practice Problems Chapter 5 Data Representation: Frequency Tables Histograms Percentiles Practice Problems Chapter 6 Measures of Central Tendency: Mean Median Mode Skewness Practice Problems Chapter 7 Measures of Dispersion: Range Variance Standard Deviation Z-Scores Areas Under the Curve Practice Problems Chapter 8 P-Values: Standard Error of the Mean Area Under the Curve and P-Values Type I and Type II Errors P-Values Confidence Intervals Practice Problems Chapter 9 Measures of Association: Pearson, Spearman, and Point Bi-Serial: Correlations: Causality, Dependence & Association Spearman and Point Bi-Serial Correlations Practice Problems Chapter 10 Multiple Regression: Basics Practice Problems Chapter 11 T-Test and One-Way Analysis of Variance: Basics Directional T-Test One-Way Analysis of Variance Practice Problems Chapter 12 Chi-Square: Chi Square Fisher's Exact Phi Practice Problems Chapter 13 Single System Analysis: Basics Directional T-Test One-Way Analysis of Variance Practice Problems Chapter 14 Intermediate Topics: Multi-way ANOVA Factorial ANOVA Analysis of Covariance (F-Test) Analysis of Covariance (Regression) Practice Problems Chapter 15 Answers to Problems Chapter 16 Index Chapter 17 Table A: Area Under the Curve Chapter 18 Table B: Pearson Product Moment Correlation Coefficients Chapter 19 Table C: T-Test Chapter 20 Table D: Significance of F Chapter 21 Table E: Chi-Square Probabilities Chapter 22 Table F: Table of Random Numbers
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