Statistics for Health Care Research - 1st Edition

Statistics for Health Care Research

1st Edition

A Practical Workbook

Authors: Susan Grove
Imprint: Saunders

Description

Statistics for Health Care Research: A Practical Workbook is a concise, practical tool that will help you develop confidence in interpreting the statistical data in health sciences research articles. It features 45 exercises designed to strengthen your understanding of sampling, measurement, and statistical analysis techniques. It's the only workbook of its kind to include research examples from both the nursing and the medical literature for a complete perspective on health sciences research.

Key Features

  • 45 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced techniques and prepare you to apply statistics to clinical practice.
  • The health sciences focus encompasses both the nursing and the medical literature so you can review the techniques in context.
  • Statistical Technique in Review sections provide concise summaries to refresh your understanding of each technique.
  • Research Article sections provide the article source, an introduction, and a "Relevant Study Results" section to help you apply the statistical technique in context.
  • Study Questions with answer keys reinforce the exercise content and help you check your understanding of each technique.
  • Questions to Be Graded, printed on separate pages to be completed and submitted to the instructor, test your mastery of key statistical techniques.
  • The concise, practical format makes helps you quickly review and become comfortable with each statistical technique.
  • Fully indexed to help you locate content quickly and easily.

Table of Contents

  1. Identifying Level of Measurement: Nominal

    2. Identifying Level of Measurement: Ordinal

    3. Identifying Level of Measurement: Interval/Ratio

    4. Understanding Percentages

    5. Frequency Distributions with Percentages

    6. Cumulative Percentages and Percentile Ranks

    7. Interpreting Histograms

    8. Interpreting Line Graphs

    9. Identifying Probability and Nonprobability Sampling Methods

    10. Understanding the Sampling Section of a Research Report: Sample Criteria, Sample Size, Refusal Rate, and Mortality

    11. Using Statistics to Describe a Study Sample

    12. Using Power Analysis to Determine Sample Size

    13. Understanding Reliability Values of Measurement Methods

    14. Understanding Validity Values of Measurement Methods

    15. Measurements of Central Tendency Mean, Median, and Mode

    16. Mean and Standard Deviation

    17. Mean, Standard Deviation, and 68% of Normal Curve

    18. Mean, Standard Deviation, and 95% and 99% of Normal Curve

    19. Determining Skewness of a Distribution

    20. Understanding T Scores

    21. Effect Size

    22. Scatterplot

    23. Pearson’s Product-Moment Correlation Coefficient

    24. Understanding Pearson’s r, Effect Size, and Percentage of Variance Explained

    25. Multiple Correlations I

    26. Multiple Correlations II

    27. Simple Linear Regression

    28. Multiple Linear Regression

    29. t-Tests for Independent Groups I

    30. t-Tests for Independent Groups II

    31. t-Tests for Dependent Groups

    32. Significance of Correlation Coefficient

    33. Standard Error of the Mean: 95th Confidence Interval

    34. Standard Error of the Mean: 99th Confidence Interval

    35. Standard Error of a Percentage and 95th Confident Interval

    36. Analysis of Variance (ANOVA) I

    37. Analysis of Variance (ANOVA) II

    38. Post Hoc Analyses Following ANOVA

    39. Analysis of Varia

Details

Language:
English
Imprint:
Saunders
eBook ISBN:
9781455776962
eBook ISBN:
9781455709960

About the Author

Susan Grove

Affiliations and Expertise

Professor, College of Nursing, The University of Texas at Arlington, Arlington, Texas; Adult Nurse Practitioner, Family Practice, Grand Prairie, Texas