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Statistics for nursing research : a workbook for evidence-based practice / Susan K. Grove and Daisha J. Cipher.

By: Contributor(s): Material type: TextTextPublisher: St. Louis, Missouri : Elsevier, 2020Edition: Third editionDescription: x, 486 pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780323654111
Subject(s): DDC classification:
  • 610.727 G919s 23
LOC classification:
  • RA409 .G76
Contents:
Identifying Levels of Measurement: Nominal, Ordinal, Interval, and Ratio -- Identifying Probability and Nonprobability Sampling Methods in Studies -- Understanding the Sampling Section of a Research Report: Population, Sampling Criteria, Sample Size, Refusal Rate, and Attrition Rate -- Understanding Reliability of Measurement Methods -- Understanding Validity of Measurement Methods -- Understanding Frequencies and Percentages -- Interpreting Line Graphs -- Measures of Central Tendency: Mean, Median, and Mode -- Measures of Dispersion: Range and Standard Deviation -- Description of a Study Sample -- Interpreting Scatterplots -- Algorithm for Determining the Appropriateness of Inferential Statistical Techniques -- Understanding Pearson's Product-Moment Correlation Coefficient -- Understanding Simple Linear Regression -- Understanding Multiple Linear Regression -- Understanding Independent Samples t-test -- Understanding Paired or Dependent Samples t-test -- Understanding Analysis of Variance (ANOVA) and Post Hoc Analyses -- Understanding Pearson Chi-Square -- Understanding Spearman Rank-Order Correlation Coefficient -- Understanding Mann-Whitney U Test -- Understanding Wilcoxon Signed-Rank Test -- Selecting Appropriate Analysis Techniques for Studies -- Describing the Elements of Power Analysis: Power, Effect Size, Alpha, and Sample Size -- Conducting Power Analysis -- Determining the Normality of a Distribution -- Calculating Descriptive Statistics -- Calculating Pearson's Product-Moment Correlation Coefficient -- Calculating Simple Linear Regression -- Calculating Multiple Linear Regression -- Calculating t-tests for Independent Samples -- Calculating t-tests for Paired (Dependent) Samples -- Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA -- Calculating Sensitivity and Specificity -- Calculating Pearson Chi-Square -- Calculating Odds Ratio and 95% Confidence Intervals.
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library-Nabua Graduate School Library GRD 610.727 G919s 2020 (Browse shelf(Opens below)) 1-4 Available 022810
Books Books Main Library-Nabua Graduate School Library GRD 610.727 G919s 2020 (Browse shelf(Opens below)) 2-4 Available 022811
Books Books Main Library-Nabua Graduate School Library GRD 610.727 G919s 2020 (Browse shelf(Opens below)) 3-4 Available 025873
Books Books Main Library-Nabua Graduate School Library GRD 610.727 G919s 2020 (Browse shelf(Opens below)) 4-4 Available 027474

Includes bibliographical references and index.

Identifying Levels of Measurement: Nominal, Ordinal, Interval, and Ratio -- Identifying Probability and Nonprobability Sampling Methods in Studies -- Understanding the Sampling Section of a Research Report: Population, Sampling Criteria, Sample Size, Refusal Rate, and Attrition Rate -- Understanding Reliability of Measurement Methods -- Understanding Validity of Measurement Methods -- Understanding Frequencies and Percentages -- Interpreting Line Graphs -- Measures of Central Tendency: Mean, Median, and Mode -- Measures of Dispersion: Range and Standard Deviation -- Description of a Study Sample -- Interpreting Scatterplots -- Algorithm for Determining the Appropriateness of Inferential Statistical Techniques -- Understanding Pearson's Product-Moment Correlation Coefficient -- Understanding Simple Linear Regression -- Understanding Multiple Linear Regression -- Understanding Independent Samples t-test -- Understanding Paired or Dependent Samples t-test -- Understanding Analysis of Variance (ANOVA) and Post Hoc Analyses -- Understanding Pearson Chi-Square -- Understanding Spearman Rank-Order Correlation Coefficient -- Understanding Mann-Whitney U Test -- Understanding Wilcoxon Signed-Rank Test -- Selecting Appropriate Analysis Techniques for Studies -- Describing the Elements of Power Analysis: Power, Effect Size, Alpha, and Sample Size -- Conducting Power Analysis -- Determining the Normality of a Distribution -- Calculating Descriptive Statistics -- Calculating Pearson's Product-Moment Correlation Coefficient -- Calculating Simple Linear Regression -- Calculating Multiple Linear Regression -- Calculating t-tests for Independent Samples -- Calculating t-tests for Paired (Dependent) Samples -- Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA -- Calculating Sensitivity and Specificity -- Calculating Pearson Chi-Square -- Calculating Odds Ratio and 95% Confidence Intervals.

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