Nursing Research And Statistics Past Paper 2014 PDF

Summary

This is a past paper for a first-year Master of Science in Nursing degree examination, focusing on nursing research and statistics. The paper, from September 2014, includes essay questions and short notes on topics like research methodologies, literature reviews, and statistical tests.

Full Transcript

Reg. No.:………………… First Year M.Sc Nursing Degree Examinations - September 2014 NURSING RESEARCH AND STATISTICS (Common for all specialties) Time : 3 hrs Max marks : 100...

Reg. No.:………………… First Year M.Sc Nursing Degree Examinations - September 2014 NURSING RESEARCH AND STATISTICS (Common for all specialties) Time : 3 hrs Max marks : 100 Answer all questions. Write Section A and Section B in separate answer books(32 Pages). Do not mix up questions from Section A and Section B. Use only ordinary calculator. Q.P.Code 103375 SECTION-A NURSING RESEARCH Marks: 75 Essays 1. What are the challenges faced by researchers in nursing research. Discuss the need for evidence based nursing practice (10+10=20) 2. Enumerate the sources of literature review. Explain briefly the guidelines for writing literature review (8+7= 15) 3. What do you understand by assumption and hypothesis in a research study. What are the points to be considered while formulating hypothesis (8+7= 15) 4. Explain, how quantitative research differs from qualitative research. ( 10) Short notes (3x5=15) 5. Role of conceptual framework in nursing research 6. Steps in the development of research instrument. 7. Ways of communicating research findings Q.P.Code 104375 SECTION-B STATISTICS Marks: 25 Essay 1. Which is the appropriate statistical test to conclude in the data given below, that growth status and exposure to infection are associated. Conduct the statistical test and arrive your conclusion about the data.P value at 5% level of significance is 3.84 (1+8+1=10) Growth status Infected Non-Infected Total Good 80 190 270 Poor 240 110 350 Total 320 300 620 Short notes (3x5=15) 2. Measures of dispersion. 3. Reliability of test scores. 4. Analysis of variance (ANOVA) technique. *********

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