Statistics for Nursing Research 3rd Edition By Susan Grove, Daisha Cipher
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Statistics for Nursing Research 3rd Edition By Susan Grove, Daisha Cipher

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749
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5.66 MB
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About this ebook
The Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 3rd Edition by Susan K. Grove and Daisha J. Cipher spans 36 chapters divided into two primary parts: [1]
Part 1: Understanding Statistical Methods
This section covers foundational data mechanics, sampling appraisal, and descriptive approaches:
  • Levels of Measurement: Nominal, ordinal, interval, and ratio scales.
  • Sampling Methods: Probability and non-probability sampling techniques.
  • Research Sample Appraisal: Evaluating the population, sampling criteria, sample size, refusal rate, and attrition rate.
  • Measurement Quality: Understanding the reliability and validity of measurement instruments.
  • Descriptive Statistics: Calculating frequencies, percentages, measures of central tendency (mean, median, mode), and measures of dispersion (range, standard deviation).
  • Visual Data Interpretation: Reading and interpreting line graphs, scatterplots, and study sample descriptions. [1, 2, 3]
Part 2: Statistical Analyses for Evidence-Based Practice
This section focuses on selecting and interpreting bivariate and multivariate inferential statistics:
  • Analysis Selection & Normality: Elements of the inferential algorithm and assessing distribution normality (curves, skewness, kurtosis). [1]
  • Power Analysis: Computing sample size requirements and conducting power analyses. [1, 2]
  • Bivariate and Correlational Analyses:
    • Pearson r and Spearman r correlations.
    • Simple and multiple linear regressions. [1]
  • Comparison Tests (Parametric & Non-Parametric):
    • Independent and paired-samples t-tests.
    • Analysis of Variance (ANOVA).
    • Chi-square tests.
    • Mann-Whitney U and Wilcoxon signed-rank tests. [1, 2, 3]
  • Clinical Diagnostic Metrics: Calculating and interpreting sensitivity, specificity, odds ratios, and confidence intervals. [1]
Key Updates in the 3rd Edition
  • DNP & Quality Improvement Focus: Enhanced alignment with analysis methods typically applied in Doctor of Nursing Practice (DNP) capstone projects and healthcare quality improvement (QI) initiatives.
  • Paired Analysis: Expanded step-by-step guidance on paired-samples statistical analysis. [1, 2]

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Topics

Analysis Selection & Normality Bivariate and Correlational Analyses Clinical Diagnostic Metrics Comparison Tests Parametric & Non-Parametric descriptive statistics DNP & Quality Improvement Focus Levels of Measurement Measurement Quality Paired Analysis Power Analysis Research Sample Appraisal Sampling Methods Statistical Analyses for Evidence-Based Practice Understanding Statistical Methods Visual Data Interpretation
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