Quantitative_Research_in_Nursing_SanaAslam_Group3.pptx

introduction to quantitative research

1. QUANTITATIVE RESEARCH IN NURSING Presented by: Sana Aslam — Group 3

2. WHAT IS QUANTITATIVE RESEARCH? • Systematic study using numbers • Measurable and comparable data • Example: Blood pressure before & after treatment

3. CHARACTERISTICS • Objective & structured • Uses measurable data • Results in graphs/statistics

4. PURPOSE • Describe variables • Test hypotheses • Identify cause–effect links

5. IMPORTANCE IN NURSING • Evidence-based practice • Better patient outcomes • Data for decisions

6. TYPES • Descriptive • Correlational • Quasi-experimental • Experimental

7. DESCRIPTIVE RESEARCH • Describes a group/situation • No variable manipulation • Example: Nurse burnout survey

8. CORRELATIONAL RESEARCH • Examines relationships • No control/manipulation • Example: Stress vs. sleep

9. QUASI-EXPERIMENTAL • Intervention without randomization • Example: Different teaching methods in wards

10. EXPERIMENTAL • Random assignment & control • Tests cause–effect • Example: New drug on recovery

11. STEPS 1. Identify problem 2. Literature review 3. Hypothesis 4. Data collection 5. Analysis 6. Interpretation

12. DATA COLLECTION • Questionnaires • Observations • Measurements • Structured interviews

13. SAMPLING • Representative group • Random or non-random • Ensures accuracy

14. DATA ANALYSIS • Statistical tests (t-test, ANOVA) • Tables & graphs for results

15. VARIABLES • Independent (cause) • Dependent (effect) • Example: Dose vs. pain relief

16. HYPOTHESIS • Predicts relationship • Example: More rest = less stress

17. RELIABILITY & VALIDITY • Reliability = consistency • Validity = accuracy

18. ETHICS • Consent • Privacy • Right to withdraw • No harm

19. ADVANTAGES • Measurable data • Easy analysis • Generalizable results

20. LIMITATIONS • Misses emotions • Needs large samples • Time-consuming

21. APPLICATION IN NURSING • Evaluate interventions • Measure satisfaction

22. CASE STUDY • Nurse-led BP control study • Pre-test/post-test design

23. RESULT INTERPRETATION • Use stats to conclude • Apply to care decisions

24. DISSEMINATION • Conferences • Journals • Guidelines

25. CHALLENGES • Funding limits • Time • Data collection issues

26. FUTURE • Tech & AI in research • Big data in nursing

27. QUANTITATIVE VS QUALITATIVE Quantitative: Numbers, objective Qualitative: Words, subjective

28. SUMMARY • Numbers + Objectivity • Improves care quality

29. CONCLUSION • Scientific base for nursing • Better accuracy & outcomes

30. THANK YOU 🌸 Questions & Discussion 🌸