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Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice, 3rd Edition, Susan Grove Daisha Cipher

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  • ISBN-10 ‏ : ‎ 0323654118
  • ISBN-13 ‏ : ‎ 978-0323654111
  • Author:  Susan Grove, Daisha 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 data.

 

Table of Content:

  1. Part 1: Understanding Statistical Methods
  2. 1.  Identifying levels of measurement: Nominal, ordinal, interval, and ratio
  3. Statistical technique in review
  4. Research article
  5. Study questions
  6. Answers to study questions
  7. Exercise 1 Questions to be graded
  8. 2.  Identifying probability and nonprobability sampling methods in studies
  9. Statistical technique in review
  10. Study questions
  11. Answers to study questions
  12. Exercise 2 Questions to be graded
  13. 3.  Understanding the sampling section of a research report: Population, sampling criteria, sample size, refusal rate, and attrition rate
  14. Statistical technique in review
  15. Research article
  16. Study questions
  17. Answers to study questions
  18. Exercise 3 Questions to be graded
  19. 4.  Understanding reliability of measurement methods
  20. Statistical technique in review
  21. Research article
  22. Study questions
  23. Answers to study questions
  24. Exercise 4 Questions to be graded
  25. 5.  Understanding validity of measurement methods
  26. Statistical technique in review
  27. Research article
  28. Study questions
  29. Answers to study questions
  30. Exercise 5 Questions to be graded
  31. 6.  Understanding frequencies and percentages
  32. Statistical technique in review
  33. Research article
  34. Study questions
  35. Answers to study questions
  36. Exercise 6 Questions to be graded
  37. 7.  Interpreting line graphs
  38. Statistical technique in review
  39. Research article
  40. Study questions
  41. Answers to study questions
  42. Exercise 7 Questions to be graded
  43. 8.  Measures of central tendency: Mean, median, and mode
  44. Statistical technique in review
  45. Research article
  46. Study questions
  47. Answers to study questions
  48. Exercise 8 Questions to be graded
  49. 9.  Measures of dispersion: Range and standard deviation
  50. Statistical technique in review
  51. Research article
  52. Study questions
  53. Answers to study questions
  54. Exercise 9 Questions to be graded
  55. 10.  Description of a study sample
  56. Statistical technique in review
  57. Research article
  58. Study questions
  59. Answers to study questions
  60. Exercise 10 Questions to be graded
  61. 11.  Interpreting scatterplots
  62. Statistical technique in review
  63. Research article
  64. Study questions
  65. Answers to study questions
  66. Exercise 11 Questions to be graded
  67. 12.  Algorithm for determining the appropriateness of inferential statistical techniques
  68. Statistical technique in review
  69. Study questions
  70. Answers to study questions
  71. Exercise 12 Questions to be graded
  72. 13.  Understanding Pearson product-moment correlation coefficient
  73. Statistical technique in review
  74. Research article
  75. Study questions
  76. Answers to study questions
  77. Exercise 13 Questions to be graded
  78. 14.  Understanding simple linear regression
  79. Statistical technique in review
  80. Research article
  81. Study questions
  82. Answers to study questions
  83. Exercise 14 Questions to be graded
  84. 15.  Understanding multiple linear regression
  85. Statistical technique in review
  86. Research article
  87. Study questions
  88. Answers to study questions
  89. Exercise 15 Questions to be graded
  90. 16.  Understanding independent samples t-test
  91. Statistical technique in review
  92. Research article
  93. Study questions
  94. Answers to study questions
  95. Exercise 16 Questions to be graded
  96. 17.  Understanding paired or dependent samples t-test
  97. Statistical technique in review
  98. Research article
  99. Study questions
  100. Answers to study questions
  101. Exercise 17 Questions to be graded
  102. 18.  Understanding analysis of variance (ANOVA) and post hoc analyses
  103. Statistical technique in review
  104. Research article
  105. Study questions
  106. Answers to study questions
  107. Exercise 18 Questions to be graded
  108. 19.  Understanding Pearson chi-square
  109. Statistical technique in review
  110. Research article
  111. Study questions
  112. Answers to study questions
  113. Exercise 19 Questions to be graded
  114. 20.  Understanding Spearman rank-order correlation coefficient
  115. Statistical technique in review
  116. Research article
  117. Study questions
  118. Answers to study questions
  119. Exercise 20 Questions to be graded
  120. 21.  Understanding Mann-Whitney U test
  121. Statistical technique in review
  122. Research article
  123. Study questions
  124. Answers to study questions
  125. Exercise 21 Questions to be graded
  126. 22.  Understanding Wilcoxon signed-rank test
  127. Statistical technique in review
  128. Research article
  129. Study questions
  130. Answers to study questions
  131. Exercise 22 Questions to be graded
  132. Part 2: Conducting and Interpreting Statistical Analyses
  133. 23.  Selecting appropriate analysis techniques for studies
  134. Statistics to address basic difference research questions and hypotheses
  135. Statistics to address basic associational/correlational research questions and hypotheses
  136. Applying inferential statistics to population data
  137. Study questions
  138. Answers to study questions
  139. Exercise 23 Questions to be graded
  140. 24.  Describing the elements of power analysis: Power, effect size, alpha, and sample size
  141. Effect size
  142. Study questions
  143. Answers to study questions
  144. Exercise 24 Questions to be graded
  145. 25.  Conducting power analysis
  146. Power analysis 1: Cohen’s d
  147. Power analysis 2: Cohen’s f
  148. Power analysis 3: Pearson r
  149. Power analysis 4: R2
  150. Power analysis 5: Odds ratio
  151. Power analysis 6: d
  152. Power analysis 7: Cohen’s dz
  153. Study questions
  154. Answers to study questions
  155. Exercise 25 Questions to be graded
  156. 26.  Determining the normality of a distribution
  157. The normal curve
  158. Skewness
  159. Kurtosis
  160. Tests of normality
  161. SPSS computation
  162. Interpretation of SPSS output
  163. Study questions
  164. Answers to study questions
  165. Data for additional computational practice for questions to be graded
  166. Exercise 26 Questions to be graded
  167. 27.  Calculating descriptive statistics
  168. Measures of central tendency
  169. Measures of dispersion
  170. Sampling error
  171. SPSS computations
  172. Interpretation of SPSS output
  173. Study questions
  174. Answers to study questions
  175. Exercise 27 Questions to be graded
  176. 28.  Calculating Pearson product-moment correlation coefficient
  177. Research designs appropriate for the Pearson r
  178. Statistical formula and assumptions
  179. Hand calculations
  180. SPSS computations
  181. Interpretation of SPSS output
  182. Final interpretation in American Psychological Association (APA) format
  183. Effect size
  184. Study questions
  185. Answers to study questions
  186. Data for additional computational practice for questions to be graded
  187. Exercise 28 Questions to be graded
  188. 29.  Calculating simple linear regression
  189. Research designs appropriate for simple linear regression
  190. Statistical formula and assumptions
  191. Hand calculations
  192. SPSS computations
  193. Interpretation of SPSS output
  194. Final interpretation in American Psychological Association (APA) format
  195. Study questions
  196. Answers to study questions
  197. Data for additional computational practice for the questions to be graded
  198. Exercise 29 Questions to be graded
  199. 30.  Calculating multiple linear regression
  200. Research designs appropriate for multiple linear regression
  201. Statistical formula and assumptions
  202. SPSS computations
  203. Interpretation of SPSS output
  204. Final interpretation in American Psychological Association (APA) format
  205. Study questions
  206. Answers to study questions
  207. Exercise 30 Questions to be graded
  208. 31.  Calculating t-tests for independent samples
  209. Research designs appropriate for the independent samples t-test
  210. Statistical formula and assumptions
  211. Hand calculations
  212. SPSS computations
  213. Interpretation of SPSS output
  214. Final interpretation in American Psychological Association (APA) format
  215. Study questions
  216. Answers to study questions
  217. Data for additional computational practice for questions to be graded
  218. Exercise 31 Questions to be graded
  219. 32.  Calculating t-tests for paired (dependent) samples
  220. Research designs appropriate for the paired samples t-test
  221. Statistical formula and assumptions
  222. Hand calculations
  223. SPSS computations
  224. Interpretation of SPSS output
  225. Final interpretation in American Psychological Association (APA) format
  226. Answers to study questions
  227. Data for additional computational practice for questions to be graded
  228. Exercise 32 Questions to be graded
  229. 33.  Calculating analysis of variance (ANOVA) and post hoc analyses following ANOVA
  230. Research designs appropriate for the one-way ANOVA
  231. Statistical formula and assumptions
  232. Hand calculations
  233. SPSS computations
  234. Interpretation of SPSS output
  235. Final interpretation in American Psychological Association (APA) format
  236. Study questions
  237. Answers to study questions
  238. Data for additional computational practice for questions to be graded
  239. Exercise 33 Questions to be graded
  240. 34.  Calculating sensitivity and specificity
  241. Statistical formula and assumptions
  242. Hand calculations
  243. SPSS computations
  244. Interpretation of SPSS output
  245. Study questions
  246. Answers to study questions
  247. Data for additional computational practice for questions to be graded
  248. Exercise 34 Questions to be graded
  249. 35.  Calculating Pearson chi-square
  250. Research designs appropriate for the Pearson χ2
  251. Statistical formula and assumptions
  252. Hand calculations
  253. SPSS computations
  254. Interpretation of SPSS output
  255. Final interpretation in American Psychological Association (APA) format
  256. Study questions
  257. Answers to study questions
  258. Data for additional computational practice for questions to be graded
  259. Exercise 35 Questions to be graded
  260. 36.  Calculating odds ratio and 95% confidence intervals
  261. Research designs appropriate for the odds ratio
  262. Statistical formula and assumptions
  263. Hand calculations
  264. SPSS computations
  265. Interpretation of SPSS output
  266. Final interpretation in American Psychological Association (APA) format
  267. Study questions
  268. Answers to study questions
  269. Data for additional computational practice for questions to be graded
  270. Exercise 36 Questions to be graded
  271. References
  272. Appendix A: Critical values for student’s t distribution
  273. Appendix B: Critical values of r for Pearson product moment correlation coefficient
  274. Appendix C: Critical values of F for α = 005 and α = 001
  275. Appendix D: Critical values of the χ2 distribution
  276. Index
  277. Inside back cover
  278. Contents

 

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