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    Statistics for evidence-based practice and evaluation / Allen Rubin.

    • Title:Statistics for evidence-based practice and evaluation / Allen Rubin.
    •    
    • Author/Creator:Rubin, Allen.
    • Published/Created:Belmont, CA : Brooks/Cole, Cengage Learning, ©2013.
    • Holdings

       
    • Library of Congress Subjects:Medical statistics.
      Evidence-based medicine--Statistical methods.
      Clinical medicine--Statistical methods.
    • Medical Subjects: Statistics as Topic.
    • Edition:3rd ed., student ed.
    • Description:xvi, 347 pages : illustrations ; 26 cm
    • Summary:"Both practical and easy to read, Rubin's 'Statistics for Evidence-Based Practice and Evaluation' provides you with a step-by-step guide that will help you succeed in your course. Practice illustrations and exercises support your ability to study and retain core concepts, while practical examples provide you with the opportunity to see how and when data analysis and statistics are used by helping professionals in the real world." -- Amazon.com.
    • Notes:Includes bibliographical references (pages 339-341) and index.
    • ISBN:9780840029140
      0840029144
    • Contents:Machine generated contents note: pt. I Introduction and Evidence-Based Practice
      ch. 1 Why Study Statistics?
      Introduction
      Relevance of Statistics to Practice
      Plan of This Book
      Main Points
      Review Questions and Exercises
      ch. 2 Use of Statistics in Evidence-Based Practice
      What Is Evidence-Based Practice?
      EBP and EBPs
      Stages of the EBP Process
      Stage 1 Formulating a Question
      Stage 2 Searching for Evidence
      Stage 3 Critically Appraising the Evidence
      Stage 4 Selecting and Implementing the Intervention
      Stage 5 Evaluating Outcome
      What Types of Statistics Apply to What Types of Practice Questions or Practice Roles?
      Descriptive Statistics
      Inferential Statistics
      Correlation and Relationship Strength
      Meta-Analysis
      Regression Analysis
      Statistics for Single-System Design Evaluations
      Coding and Data Processing
      Main Points
      Review Questions and Exercises
      ch. 3 Review of Key Research Methodology Concepts and Terms
      Introduction
      Research Process
      Conceptual Elements of Quantitative Research Studies
      Levels of Measurement
      Nominal Measures
      Ordinal Measures
      Interval Measures
      Ratio Measures
      Altering a Variable's Level of Measurement
      Key Measurement Concepts
      Key Sampling Concepts
      Key Concepts in Designs for Evaluating Programs and Practice
      Main Points
      Review Questions and Exercises
      pt. II Descriptive Statistics
      ch. 4 Frequency Distributions
      Introduction
      Types of Frequency Distributions
      Absolute Frequencies
      Relative Frequencies
      Cumulative Frequencies
      Grouped Frequency Distributions
      Cross-Tabulation
      How Frequency Distribution Data Are Presented in Journal Articles
      Misleading Percentages
      Main Points
      Review Questions and Exercises
      ch. 5 Graphs and Charts
      Introduction
      Bar Graphs
      Pie Charts
      Histograms
      Frequency Polygons
      Line Graphs Showing Trends Over
      Misleading Graphics
      Main Points
      Review Questions and Exercises
      ch. 6 Measures of Central Tendency
      Introduction
      Mean
      Median
      Influence of Extreme Values
      Mode
      Selecting a Measure of Central Tendency
      Main Points
      Review Questions and Exercises
      ch. 7 Measures of Dispersion
      Introduction
      Range
      Interquartile Range
      Variance
      Standard Deviation
      Putting It All Together
      Main Points
      Review Questions and Exercises
      ch. 8 Types of Distributions
      Introduction
      Skewed Distributions
      Normal Distributions
      Kurtosis
      Some Clarification
      Bimodal Distributions
      Utility of Distribution Statistics in Evidence-Based Practice
      Main Points
      Review Questions and Exercises
      ch. 9 z-Scores, Percentiles, and Effect Size
      Introduction
      Calculating z-Scores
      Practical Uses of z-Scores
      Using a z-Score Table
      Some Practice Examples
      Positive and Negative z-Score Percentiles
      Some Negative z-scores Can Be Positive!
      Effect Size (Cohen's d)
      Practical Uses of Effect-Size Statistics
      Main Points
      Review Questions and Exercises
      pt. III Inferential Data Analysis: Conceptual Foundation
      ch. 10 Probability and Sampling Distributions
      Introduction
      Chance (Sampling Error)
      Probability
      Theoretical Sampling Distributions
      Standard Error
      Confidence Intervals for Estimating Population Parameters
      Estimating Confidence Intervals Involving Proportions
      Practical Use
      Main Points
      Review Questions and Exercises
      ch. 11 Hypothesis Testing and Statistical Significance
      Introduction
      Theoretical Sampling Distributions in Hypothesis Testing
      Null Hypothesis
      Can We Confirm the Null Hypothesis?
      One-Tailed and Two-Tailed Tests of Statistical Significance
      Illustration of Critical Regions and Sample-Size Influence in One- and Two-Tailed Tests
      Main Points
      Review Questions and Exercises
      ch. 12 Type I and Type II Errors
      Introduction
      Statistical Conclusion Validity
      Type I Errors
      Type II Errors
      Which Type of Error Is More Serious?
      Selecting a Significance Level
      Influence of Sample Size
      Main Points
      Review Questions and Exercises
      ch. 13 Interpreting the Strength and Importance of Relationships
      Introduction
      Correlation
      Correlation Coefficients
      Coefficient of Determination
      Effect Size
      How Strong Is "Strong"?
      Substantive (Practical) Significance
      Clinical Significance
      Statistical Power Analysis
      Meta-Analysis
      Main Points
      Review Questions and Exercises
      pt. IV Inferential Data Analysis: Parametric and Nonparametric Procedures
      ch. 14 t-Test
      Introduction
      Types of t-Tests
      Calculating the t-Score
      Independent-Samples t-Test
      Paired-Samples t-Test
      One-Sample t-Test
      Common Mistake
      Independent-Samples t-Test with Change Scores
      Nonparametric Alternatives to the t-Test
      Nonparametric Alternatives to the Paired-Samples t-Test with Ordinal Data
      Nonparametric Alternatives to the Independent-Samples t-Test
      How t-Tests Are Presented in Reports and Journal Articles
      Main Points
      Review Questions and Exercises
      ch. 15 Analysis of Variance
      Introduction
      F-Ratio Formula
      Illustration of ANOVA
      Post Hoc Tests
      Analysis of Covariance (ANCOVA)
      Two-Factor Analysis of Variance
      Multivariate Analysis of Variance (MANOVA)
      How ANOVA and ANCOVA Are Presented in Reports and Journal Articles
      Main Points
      Review Questions and Exercises
      ch. 16 Cross-Tabulation and Chi-Square
      Introduction
      Two-by-Two Cross-Tabulation Tables
      Calculating Chi-Square
      Tables with More Than Two Rows or Columns
      Goodness-of-Fit Test
      Median Test
      McNemar's Test
      Main Points
      Review Questions and Exercises
      ch. 17 Correlation
      Introduction
      Scatterplots
      Curvilinear Correlation
      Why Would a Practitioner Want to Look at Scatterplots and Correlations?
      Computing Parametric and Nonparametric Correlation Coefficients
      Use and Interpretation of Correlation Coefficients
      Correlation Coefficients for Nominal Data
      Testing the Statistical Significance of Correlation Coefficients
      Some Cautions to Remember About Correlation
      Linearity and Other Assumptions
      Handling Outliers
      Can a Correlation Ever Be Too Strong?
      Correlation Does Not Prove Causation
      How Correlation Results Are Presented in Reports and Journal Articles
      Main Points
      Review Questions and Exercises
      ch. 18 Regression Analysis
      Introduction
      Regression Equation
      More on the Meaning of Slope
      Additional Illustrations of the Utility of Regression Analysis in Evidence-Based Practice
      Multiple Correlation
      Multiple and Partial Correlation
      Partial r
      Multicollinearity
      Multiple R
      Multiple Regression
      Multiple Regression Equation
      Standardized Beta
      Alternative Methods for Including Variables in Multiple Regression
      Assumptions of Multiple Regression Analysis
      Main Points
      Review Questions and Exercises
      ch. 19 Applications to Single-System Evaluation Designs
      Introduction
      Visual Analysis
      Effect Size
      Statistical Significance
      t-Test
      Two-Standard-Deviation Procedure
      X-Moving Range-Three-Standard-Deviation Method
      Autocorrelation
      Pronounced Trends
      Proportion-Frequency Procedure
      Main Points
      Review Questions and Exercises
      Appendix A Review of Some Math Basics
      Introduction
      Positive and Negative Signs
      Addition
      Subtraction
      Multiplication
      Division
      Proportions and Percentages
      Calculating Increases or Decreases in Terms of Proportions or Percentages
      Adding and Subtracting Proportions
      Multiplying Proportions and Percentages
      Dividing Proportions
      Squares and Square Roots
      Appendix B Statistical Symbols
      Appendix C Conceptual Overview of Factor Analysis
      Appendix D Conceptual Overview of Discriminant Analysis
      Appendix E Conceptual Overview of Logistic Regression
      Appendix F Conceptual Overview of Multilevel Modeling (Hierarchical Linear Models)
      Appendix G Conceptual Overview of Path Analysis
      Appendix H Conceptual Overview of Structural Equation Modeling
      Appendix I Conceptual Overview of Event History Analysis (Survival Analysis)
      Appendix J Reporting Your Statistical Findings
      Audience
      Results and Discussion Sections
      Findings Section
      Tables, Charts, and Figures
      Additional Generic Guidelines
      Improving Your Chances for Publication
      Appendix K Preparing Data for Analysis
      Introduction
      Coding with Different Levels of Measurement
      Coding Open-Ended Data
      Codebook Construction
      Data Entry
      Data Cleaning
      Main Points
      Review Questions and Exercises
      Appendix L Hypothetical Data Set for SPSS
      Appendix M SPSS Instructions and Exercises
      Introduction
      Getting Started (See Appendix K)
      SPSS Exercise on Getting Started
      Using SPSS to Create Frequency Distributions (Chapter 4)
      Using SPSS to Create Grouped Frequency Distributions (Chapter 4)
      SPSS Exercises on Frequency Distributions
      Using SPSS to Create Graphs (Chapter 5)
      SPSS Exercises on Graphs and Charts
      Using SPSS to Calculate Measures of Central Tendency (Chapter 6)
      SPSS Exercise on Central Tendency
      Using SPSS to Calculate Measures of Dispersion (Chapter 7)
      SPSS Exercise on Calculating Measures of Dispersion
      Contents note continued: Using SPSS to Calculate Measures of Kurtosis and Skewness (Chapter 8)
      SPSS Exercise on Calculating Measures of Kurtosis and Skewness
      Using SPSS to Calculate z-Scores (Chapter 9)
      SPSS Exercise to Calculate z-Scores
      Using SPSS to Calculate t-Tests (Chapter 14)
      SPSS t-Test Exercises
      Using the Compute Procedure in SPSS to Create Change Scores (Chapter 14)
      Using SPSS to Conduct a One-Way ANOVA (Chapter 15)
      SPSS Exercise for a One-Way ANOVA
      Using SPSS to Conduct an ANCOVA (Chapter 15)
      SPSS Exercise for ANCOVA
      Using SPSS to Conduct a Two-Factor ANOVA (Chapter 15)
      Using SPSS to Calculate Chi-Square (Chapter 16)
      SPSS Exercises for Chapter 16
      Using SPSS to Calculate Correlation Coefficients and Scatterplots (Chapter 17)
      Eta
      Phi or Cramer's V
      SPSS Exercises for Correlation and Scatterplots
      Using SPSS to Obtain a Regression Line and Calculate the Regression Equation (Chapter 18)
      SPSS Exercise for a Bivariate Regression Analysis
      Using SPSS for Multiple Regression and Multiple Correlation (Chapter 18)
      SPSS Exercise on Multiple Regression.
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