Statistics for Nursing Research A Workbook for Evidence Based Practice 1st edition by Susan Grove, Daisha Cipher 0323674143 9780323674140

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ISBN-10 :  0323674143 

ISBN-13 : 9780323674140

Author : Susan K. Grove, Daisha J. Cipher 

Learn how to expand your interpretation and application of statistical methods used in nursing and health sciences research articles with Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 3rd Edition. Perfect for those seeking to more effectively build an evidence-based practice, this collection of practical exercises guides you in how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing research and statistics experts Drs. Susan K. Grove and Daisha Cipher, this is the only statistics workbook for nurses to include research examples from both nursing and the broader health sciences literature. This new third edition features new research article excerpts and examples, an enhanced focused on statistical methods commonly used in DNP projects, new examples from quality improvement projects, new content on paired samples analysis, expanded coverage of calculating descriptive statistics, an online Research Article Library, and more! Whether used in undergraduate, master’s, or doctoral education or in clinical practice, this workbook is an indispensable resource for any nursing student or practicing nurse needing to interpret or apply statistical dat

Statistics for Nursing Research-A Workbook for Evidence-Based Practice 1st Table of contents:

Part 1: Understanding Statistical Methods
1.  Identifying levels of measurement: Nominal, ordinal, interval, and ratio
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 1 Questions to be graded
2.  Identifying probability and nonprobability sampling methods in studies
Statistical technique in review
Study questions
Answers to study questions
Exercise 2 Questions to be graded
3.  Understanding the sampling section of a research report: Population, sampling criteria, sample size, refusal rate, and attrition rate
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 3 Questions to be graded
4.  Understanding reliability of measurement methods
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 4 Questions to be graded
5.  Understanding validity of measurement methods
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 5 Questions to be graded
6.  Understanding frequencies and percentages
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 6 Questions to be graded
7.  Interpreting line graphs
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 7 Questions to be graded
8.  Measures of central tendency: Mean, median, and mode
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 8 Questions to be graded
9.  Measures of dispersion: Range and standard deviation
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 9 Questions to be graded
10.  Description of a study sample
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 10 Questions to be graded
11.  Interpreting scatterplots
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 11 Questions to be graded
12.  Algorithm for determining the appropriateness of inferential statistical techniques
Statistical technique in review
Study questions
Answers to study questions
Exercise 12 Questions to be graded
13.  Understanding Pearson product-moment correlation coefficient
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 13 Questions to be graded
14.  Understanding simple linear regression
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 14 Questions to be graded
15.  Understanding multiple linear regression
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 15 Questions to be graded
16.  Understanding independent samples t-test
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 16 Questions to be graded
17.  Understanding paired or dependent samples t-test
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 17 Questions to be graded
18.  Understanding analysis of variance (ANOVA) and post hoc analyses
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 18 Questions to be graded
19.  Understanding Pearson chi-square
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 19 Questions to be graded
20.  Understanding Spearman rank-order correlation coefficient
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 20 Questions to be graded
21.  Understanding Mann-Whitney U test
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 21 Questions to be graded
22.  Understanding Wilcoxon signed-rank test
Statistical technique in review
Research article
Study questions
Answers to study questions
Exercise 22 Questions to be graded
Part 2: Conducting and Interpreting Statistical Analyses
23.  Selecting appropriate analysis techniques for studies
Statistics to address basic difference research questions and hypotheses
Statistics to address basic associational/correlational research questions and hypotheses
Applying inferential statistics to population data
Study questions
Answers to study questions
Exercise 23 Questions to be graded
24.  Describing the elements of power analysis: Power, effect size, alpha, and sample size
Effect size
Study questions
Answers to study questions
Exercise 24 Questions to be graded
25.  Conducting power analysis
Power analysis 1: Cohen’s d
Power analysis 2: Cohen’s f
Power analysis 3: Pearson r
Power analysis 4: R2
Power analysis 5: Odds ratio
Power analysis 6: d
Power analysis 7: Cohen’s dz
Study questions
Answers to study questions
Exercise 25 Questions to be graded
26.  Determining the normality of a distribution
The normal curve
Skewness
Kurtosis
Tests of normality
SPSS computation
Interpretation of SPSS output
Study questions
Answers to study questions
Data for additional computational practice for questions to be graded
Exercise 26 Questions to be graded
27.  Calculating descriptive statistics
Measures of central tendency
Measures of dispersion
Sampling error
SPSS computations
Interpretation of SPSS output
Study questions
Answers to study questions
Exercise 27 Questions to be graded
28.  Calculating Pearson product-moment correlation coefficient
Research designs appropriate for the Pearson r
Statistical formula and assumptions
Hand calculations
SPSS computations
Interpretation of SPSS output
Final interpretation in American Psychological Association (APA) format
Effect size
Study questions
Answers to study questions
Data for additional computational practice for questions to be graded
Exercise 28 Questions to be graded
29.  Calculating simple linear regression
Research designs appropriate for simple linear regression
Statistical formula and assumptions
Hand calculations
SPSS computations
Interpretation of SPSS output
Final interpretation in American Psychological Association (APA) format
Study questions
Answers to study questions
Data for additional computational practice for the questions to be graded
Exercise 29 Questions to be graded
30.  Calculating multiple linear regression
Research designs appropriate for multiple linear regression
Statistical formula and assumptions
SPSS computations
Interpretation of SPSS output
Final interpretation in American Psychological Association (APA) format
Study questions
Answers to study questions
Exercise 30 Questions to be graded
31.  Calculating t-tests for independent samples
Research designs appropriate for the independent samples t-test
Statistical formula and assumptions
Hand calculations
SPSS computations
Interpretation of SPSS output
Final interpretation in American Psychological Association (APA) format
Study questions
Answers to study questions
Data for additional computational practice for questions to be graded
Exercise 31 Questions to be graded
32.  Calculating t-tests for paired (dependent) samples
Research designs appropriate for the paired samples t-test
Statistical formula and assumptions
Hand calculations
SPSS computations
Interpretation of SPSS output
Final interpretation in American Psychological Association (APA) format
Answers to study questions
Data for additional computational practice for questions to be graded
Exercise 32 Questions to be graded
33.  Calculating analysis of variance (ANOVA) and post hoc analyses following ANOVA
Research designs appropriate for the one-way ANOVA
Statistical formula and assumptions
Hand calculations
SPSS computations
Interpretation of SPSS output
Final interpretation in American Psychological Association (APA) format
Study questions
Answers to study questions
Data for additional computational practice for questions to be graded
Exercise 33 Questions to be graded
34.  Calculating sensitivity and specificity
Statistical formula and assumptions
Hand calculations
SPSS computations
Interpretation of SPSS output
Study questions
Answers to study questions
Data for additional computational practice for questions to be graded
Exercise 34 Questions to be graded
35.  Calculating Pearson chi-square
Research designs appropriate for the Pearson χ2
Statistical formula and assumptions
Hand calculations
SPSS computations
Interpretation of SPSS output
Final interpretation in American Psychological Association (APA) format
Study questions
Answers to study questions
Data for additional computational practice for questions to be graded
Exercise 35 Questions to be graded
36.  Calculating odds ratio and 95% confidence intervals
Research designs appropriate for the odds ratio
Statistical formula and assumptions
Hand calculations
SPSS computations
Interpretation of SPSS output
Final interpretation in American Psychological Association (APA) format
Study questions
Answers to study questions
Data for additional computational practice for questions to be graded

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