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Statistics for social workers Robert W. Weinbach, Richard M. Grinnell, Jr.

Por: Colaborador(es): Detalles de publicación: White Plains, N.Y. Longman c1991.Edición: 2nd edDescripción: xii, 217 p. ill. 23 cmISBN:
  • 080130413X
Tema(s): Clasificación CDD:
  • 519.5/024362 20
Clasificación LoC:
  • HA29 .W433 1990
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Written by social workers for social work students, Statistics for Social Workers, 4/e, focuses on the kinds of statistical analysis most often used by social workers. As a result, students are able to use statistics in their everyday work in order to become more effective practitioners. Weinbach & Grinnell avoid the heavy use of mathematical formulae & present statistics in a highly accessible, user-friendly format that helps students understand, appreciate, & make use of statistics in refining their helping skills. NEW FEATURES- * New chapter on sampling distributions & expanded coverage of hypothesis testing. * Additional case examples throughout the text vividly illustrate concepts & provide students with a useful point of reference for understanding statistics. * Reorganized material to reflect the relationship between bivariate & multivariate analysis. CONTENTS 1. Introduction 2. Frequency Distributions & Graphs 3. Central Tendency & Variability 4. Normal Distributions 5. Introduction to Hypothesis Testing 6. Sampling Distributions & Hypothesis Testing 7. Selecting Statistical Tests 8. Correlation 9. Simple Linear Regression 10. Cross-Tabulation 11. t Tests & Analysis of Variance 12. Additional Parametric & Multivariate Tests References & Further Reading Glossary Appendices Index

Includes bibliographical references and index.

Tabla de contenidos provista por Syndetics

  • All chapters conclude with "Concluding Thoughts" and "Study Questions
  • "Preface
  • 1 Introduction to Statistical Analysis
  • Uses of Statistical Analysis
  • General Methodological Terms
  • Levels of Measurement
  • Levels of Measurement and Analysis of Data
  • Other Measurement Classifications
  • Categories of Statistical Analyses
  • 2 Frequency Distributions and Graphs
  • Frequency Distributions
  • Grouped Frequency Distributions
  • Using Frequency Distributions to Analyze Data
  • Misrepresentation of Data
  • Graphical Presentation of Data
  • A Common Mistake in Displaying Data
  • 3 Central Tendency and Variability
  • Central Tendency
  • Variability
  • 4 Normal Distributions
  • Skewed Distributions
  • Normal Distributions
  • Converting Raw Scores to Z Scores and Percentiles
  • Deriving Raw Scores From Percentiles
  • 5 Introduction to Hypothesis Testing
  • Alternative Explanations
  • Probability
  • Refuting Sampling Error
  • Research Hypotheses
  • Testing the Null Hypothesis
  • Statistical Significance
  • Errors in Drawing Conclusions About Relationships
  • Statistically Significant Relationships and Meaningful Findings
  • 6 Sampling Distributions and Hypothesis Testing
  • Sample Size and Sampling Error
  • Sampling Distributions and Inference
  • Sampling Distribution of Means
  • Estimating Parameters From Statistics
  • Other Distributions
  • 7 Selecting a Statistical Test
  • The Importance of Selecting the Correct Statistical Test
  • Factors to Consider When Selecting a Statistical Test
  • Parametric and Nonparametric Tests
  • Multivariate Statistical Tests
  • General Guidelines for Test Selection
  • Getting Help With Data Analyses
  • 8 Correlation
  • Uses of Correlation
  • Perfect Correlations
  • Nonperfect Correlations
  • Interpreting Linear Correlations
  • Using Correlation For Inference
  • Computation and Presentation of Person's R
  • Nonparametric Alternatives
  • Using Correlation With Three or More Variables
  • Other Multivariate Tests that Use Correlation
  • 9 Regression Analyses
  • What is Prediction?
  • What is Simple Linear Regression?
  • Computation of the Regression Equation
  • More About the Regression Line
  • Interpreting Results
  • Using Regression Analyses in Social Work Practice
  • Regression With Three or More Variables
  • Other Types of Regression Analyses
  • 10 Cross-Tabulation
  • The Chi-Square Test of Association
  • Using Chi-Square in Social Work Practice
  • Chi-Square With Three or More Variables
  • Special Applications of the Chi-Square Formula
  • 11 t Tests and Analysis of Variance
  • The Use of t Tests
  • The One-Sample t Test
  • The Dependent t Test
  • The Independent t Test
  • Simple Analysis of Variance (One-Way Anova)
  • Appendix A
  • Evaluating Programs
  • Evaluating Individual Practitioner Effectiveness
  • Glossary
  • Index
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