Statistics for Social Workers with Enhanced Pearson eText -- Access Card Package
9th Edition
Will be published approx. on 27. November 2014
Book
Mixed media product
304 pages
978-0-13-390906-7 (ISBN)
Description
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A reader-friendly approach to statistics in social work practice.
Statistics for Social Workers, 9/e familiarizes students with statistical tests and analyses that are most likely to be encountered by social work researchers and practitioners. This reader-friendly title emphasizes the conceptual underpinning of statistical analyses, keeping mathematics and complicated formulae to a minimum. Readers require no prior knowledge of statistics and only basic mathematical competence.
Improve mastery and retention with the Enhanced Pearson eText
The Enhanced Pearson eText provides a rich, interactive learning environment designed to improve student mastery of content. The Enhanced Pearson eText is:
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0133909069 / 9780133909067 Statistics for Social Workers with Pearson eText -- Access Card Package
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0205867030 / 9780205867035 Statistics for Social Workers
0205867243 / 9780205867240 Statistics for Social Workers, Pearson eText -- Access Card
If purchasing or renting from companies other than Pearson, the access codes for the Enhanced Pearson eText may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.
This package includes the Enhanced Pearson eText and the bound book
A reader-friendly approach to statistics in social work practice.
Statistics for Social Workers, 9/e familiarizes students with statistical tests and analyses that are most likely to be encountered by social work researchers and practitioners. This reader-friendly title emphasizes the conceptual underpinning of statistical analyses, keeping mathematics and complicated formulae to a minimum. Readers require no prior knowledge of statistics and only basic mathematical competence.
Improve mastery and retention with the Enhanced Pearson eText
The Enhanced Pearson eText provides a rich, interactive learning environment designed to improve student mastery of content. The Enhanced Pearson eText is:
Engaging. The new interactive, multimedia learning features were developed by the authors and other subject-matter experts to deepen and enrich the learning experience.
Convenient. Enjoy instant online access from your computer or download the Pearson eText App to read on or offline on your iPad (R) and Android (R) tablet.*
Affordable. Experience the advantages of the Enhanced Pearson eText along with all the benefits of print for 40% to 50% less than a print bound book.
*The Pearson eText App is available on Google Play and in the App Store. It requires Android OS 3.1-4, a 7" or 10" tablet, or iPad iOS 5.0 or later.
0133909069 / 9780133909067 Statistics for Social Workers with Pearson eText -- Access Card Package
Package consists of:
0205867030 / 9780205867035 Statistics for Social Workers
0205867243 / 9780205867240 Statistics for Social Workers, Pearson eText -- Access Card
More details
Product info
Time-limited license permitted subject to limit of 6 months.
Edition
9th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 260 mm
Width: 210 mm
Thickness: 10 mm
Weight
470 gr
ISBN-13
978-0-13-390906-7 (9780133909067)
Schweitzer Classification
Persons
Robert W. Weinbach, Ph.D., MSW, ACSW is Distinguished Professor Emeritus at the University of South Carolina, where he continues to teach graduate level research courses in the College of Social Work. He is also a co-author of Research Methods for Social Workers, seventh Edition; The Social Worker as Manager, Sixth Edition; and is the author of Evaluating Social Work Services and Programs, (all published by Allyn & Bacon), as well as over 75 other publications and invited book chapters. He earned graduate degrees in social work from SUNY-Buffalo and Ohio State University and has worked in both medical and psychiatric social work practice and as a program evaluator.
Richard M. Grinnell, Jr. is a Professor of Social Work and holds the Clair and Clarice Platt Jones/Helen Frays Endowed Chair of Social Work Research in the School of Social Work at Western Michigan University. He received his Ph.D. in social work from the University of Wisconsin at Madison and for over the past 40 years has held academic and senior university administrative appointments in Australia, Canada, and the United States. He has published over 100 journal articles, book chapters, and conference presentations, and 36 books. His two latest books are Evaluation for Social Workers: Foundations of Evidence-Based Programs, 6th edition (Oxford University Press, 2012, with Peter Gabor and Yvonne Unrau) and Social Work Research and Evaluation: Foundations of Evidence-Based Practice, 10th edition (Oxford University Press, 2014, with Yvonne Unrau).
Richard M. Grinnell, Jr. is a Professor of Social Work and holds the Clair and Clarice Platt Jones/Helen Frays Endowed Chair of Social Work Research in the School of Social Work at Western Michigan University. He received his Ph.D. in social work from the University of Wisconsin at Madison and for over the past 40 years has held academic and senior university administrative appointments in Australia, Canada, and the United States. He has published over 100 journal articles, book chapters, and conference presentations, and 36 books. His two latest books are Evaluation for Social Workers: Foundations of Evidence-Based Programs, 6th edition (Oxford University Press, 2012, with Peter Gabor and Yvonne Unrau) and Social Work Research and Evaluation: Foundations of Evidence-Based Practice, 10th edition (Oxford University Press, 2014, with Yvonne Unrau).
Content
In this Section:
I) Brief Table of Contents
II) Detailed Table of Contents
I) Brief Table of Contents
Chapter 1. Introduction
Chapter 2. Frequency Distributions and Graphs
Chapter 3. Measures of Central Tendency and Variability
Chapter 4. Normal Distributions
Chapter 5. Testing Hypotheses
Chapter 6. Sampling Distributions
Chapter 7. t Tests and Analysis of Variance
Chapter 8. The Chi-Square Test of Association between Variables
Chapter 9. Correlation
Chapter 10. Regression
Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice
II) Detailed Table of Contents
Chapter 1. Introduction
Useful Terms You Will Need to Know
Measurement iSSUES
Additional Measurement Classifications
Research Hypotheses
Classification of Variables and Their Relationship
Categories of Statistical Analyses
Statistics and data collection
Research designs and statistics
Chapter 2. Frequency Distributions and Graphs
Frequency Distributions
Grouped Frequency Distributions
Using Frequency Distributions to Analyze Data
Misrepresentation of Data
Graphs
A Caution: Computer-generated graphs
Chapter 3. Measures of Central Tendency and Variability
Measures of Central Tendency
Measures of Variability
Other Uses for Central Tendency and Variability
Chapter 4. Normal Distributions
Skewness
Kurtosis
The Normal Curve
The Standard Normal Distribution
Converting Raw Scores to z Scores and Percentiles
Deriving raw Scores From Percentiles
Chapter 5. Testing Hypotheses
Alternative Explanations for Relationships Within Samples
Probability and Inference
Refuting Sampling Error
Statistical Significance
Testing the Null Hypothesis
Errors in Drawing Conclusions About Relationships
Statistically Significant Relationships and Meaningful Findings
The Hypothesis Testing process
Chapter 6. Sampling Distributions
Sample Size and Sampling Error
What are Sampling Distribution?
Rejection Regions and hypothesis testing
Estimating Parameters
Selecting Statistical Tests
Deciding Which Test to use
Chapter 7. t Tests and Analysis of Variance
The use of t Tests
The One-sample t Test
The Dependent t Test
The Independent tTest
Misuse of t tests
Simple Analysis of Variance (Simple Anova)
Multivariate Analysis of Variance
Chapter 8. The Chi-Square Test of Association between Variables
When Chi-Square is Appropriate
Cross-Tabulation Tables
Using Chi-Square
When Chi-square is not appropriate
Using chi-square in social work practice
Cross-Tabulation With Three or More Variables
Special Applications of The Chi-Square Formula
Chapter 9. Correlation
Uses of Correlation
Scattergrams
Nonperfect Correlations
Interpreting Linear Correlations
Using Correlation for inference
Pearson'S r
Nonparametric Alternatives to Pearson'S r
Correlation With Three or More Variables
Other Multivariate analyses That use Correlation
Chapter 10. Regression
Prediction and Evidence-Based Practice
Prediction and Statistical Analysis
What is Simple Linear Regression?
Computation of the Regression Equation
More About the Regression Line
Interpreting Results
Using regression in social work practice
When is regression analysis appropriate
Regression With Three or More Variables
Other Types of Regression Analyses
Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice
Meta-analyses
Program evaluations
Single-System designs
I) Brief Table of Contents
II) Detailed Table of Contents
I) Brief Table of Contents
Chapter 1. Introduction
Chapter 2. Frequency Distributions and Graphs
Chapter 3. Measures of Central Tendency and Variability
Chapter 4. Normal Distributions
Chapter 5. Testing Hypotheses
Chapter 6. Sampling Distributions
Chapter 7. t Tests and Analysis of Variance
Chapter 8. The Chi-Square Test of Association between Variables
Chapter 9. Correlation
Chapter 10. Regression
Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice
II) Detailed Table of Contents
Chapter 1. Introduction
Useful Terms You Will Need to Know
Measurement iSSUES
Additional Measurement Classifications
Research Hypotheses
Classification of Variables and Their Relationship
Categories of Statistical Analyses
Statistics and data collection
Research designs and statistics
Chapter 2. Frequency Distributions and Graphs
Frequency Distributions
Grouped Frequency Distributions
Using Frequency Distributions to Analyze Data
Misrepresentation of Data
Graphs
A Caution: Computer-generated graphs
Chapter 3. Measures of Central Tendency and Variability
Measures of Central Tendency
Measures of Variability
Other Uses for Central Tendency and Variability
Chapter 4. Normal Distributions
Skewness
Kurtosis
The Normal Curve
The Standard Normal Distribution
Converting Raw Scores to z Scores and Percentiles
Deriving raw Scores From Percentiles
Chapter 5. Testing Hypotheses
Alternative Explanations for Relationships Within Samples
Probability and Inference
Refuting Sampling Error
Statistical Significance
Testing the Null Hypothesis
Errors in Drawing Conclusions About Relationships
Statistically Significant Relationships and Meaningful Findings
The Hypothesis Testing process
Chapter 6. Sampling Distributions
Sample Size and Sampling Error
What are Sampling Distribution?
Rejection Regions and hypothesis testing
Estimating Parameters
Selecting Statistical Tests
Deciding Which Test to use
Chapter 7. t Tests and Analysis of Variance
The use of t Tests
The One-sample t Test
The Dependent t Test
The Independent tTest
Misuse of t tests
Simple Analysis of Variance (Simple Anova)
Multivariate Analysis of Variance
Chapter 8. The Chi-Square Test of Association between Variables
When Chi-Square is Appropriate
Cross-Tabulation Tables
Using Chi-Square
When Chi-square is not appropriate
Using chi-square in social work practice
Cross-Tabulation With Three or More Variables
Special Applications of The Chi-Square Formula
Chapter 9. Correlation
Uses of Correlation
Scattergrams
Nonperfect Correlations
Interpreting Linear Correlations
Using Correlation for inference
Pearson'S r
Nonparametric Alternatives to Pearson'S r
Correlation With Three or More Variables
Other Multivariate analyses That use Correlation
Chapter 10. Regression
Prediction and Evidence-Based Practice
Prediction and Statistical Analysis
What is Simple Linear Regression?
Computation of the Regression Equation
More About the Regression Line
Interpreting Results
Using regression in social work practice
When is regression analysis appropriate
Regression With Three or More Variables
Other Types of Regression Analyses
Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice
Meta-analyses
Program evaluations
Single-System designs