Research Methods in Health Sciences: Study Designs and Data Analysis

dr m asif naveed associated professor haematology n.w
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Explore the fundamentals of research methods in health sciences, focusing on study designs, data collection, analysis, and interpretation. Learn about different types of quantitative research designs, aligning research questions with suitable study designs, and the systematic process of conducting research. Enhance your knowledge on defining research questions, refining hypotheses, and understanding variables in a research context.

  • Research Methods
  • Study Designs
  • Data Analysis
  • Health Sciences
  • Quantitative Research

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  1. Dr. M. Asif Naveed Associated Professor Haematology University of Health Sciences, Lahore Study Designs Study Designs

  2. At the end of this session,the participants will be ableto: LEARNING OUTCOMES Describe different types of quantitative researchdesigns Align research questions with correct type of quantitative study design and analytical method

  3. A process of systematic data What is Research? Collection Analysis and Interpretation and Reporting

  4. QUANTITA TIVE Types of Research QUALITATIVE MIXED METHOD

  5. Define Define Research Question The Research Process Conduct Conduct Literature review Refine Refine Question

  6. Refine ResearchQuestion Refine The Research Process Decide StudyDesign Decide Obtain IRB approval -> collect and analyze data -> Write and ReportResults Obtain

  7. Hypothesis oIt is a speculative statement of the relation between two or more variables. oDescribes a research question in a testable format which predicts the nature of theanswer.

  8. Variables Variable is a characteristic or attribute that can be measured, and it varies Variable is a characteristic of a person, object or phenomenon that can take on different values Types Independent (cause) that can bemanipulated Dependent (outcome)

  9. Do students who spend more instruction time in wards have higher MCQ scores than students who spend lesstime? Independent variable: Time inwards Dependent variable: MCQscores Example

  10. Data Data are values of the observation recorded for variables (e.g age, weight, sex)

  11. Quantitative Designs

  12. 1. 1.Descriptive Descriptive Purpose Examples To describe the current status of a variable of interest to the researcher These research projects are designed to provide systematic information about a phenomenon. A description of the tobacco use habits of teenagers What type of teaching activities are favored by medical students? Obj. 3.7 &4.1

  13. 2. Correlational What is the relationship between Premedical scores and grades of medical students in first year MBBS? Purpose to ascertain the extent to which two or more variables are statistically related Is there any relationship between tobacco smoking and lung cancer Examples Do significant relationships exist between the types of teaching strategy and student achievement? This design does NOT imply causation The degree of relationship is expressed in terms of a coefficient of relationship Obj. 3.7 &4.1

  14. The basic design of a correlational study is simple. Design and Procedure Co relation co efficient between the 02 variables is calculated A correlation coefficient is interpreted in terms of its statistical significance.

  15. Correlational studies investigate the relationship between 2 variables Design and Procedure This is further analyzed in a causal- comparative or experimental study so as to determine the exact nature of the relationship betweenthem.

  16. For example, there is a strong relationship between students scores on academic achievement in Mathematics and their scores on academic achievement in Science. Design and Procedure This does not suggest that one of these variables is the cause and the other is the effect. In fact, a third variable, viz., students intelligence could be the cause of students academic achievement in both, Mathematics and Science.

  17. In a correlational study, hypotheses or research questions are stated at the beginning of thestudy. The null hypotheses are often used in a correlational study. A hypothesis is not required in a descriptive study design.

  18. Statistical tests used in correlational studies Categorical Variables x2 Numerical variables Spearman correlation, Pearson correlation Is there a relationship between smoking and lung cancer

  19. Some questions that could be answered through correlational research How is job satisfaction of a teacher related to the extent of autonomy available in job? Is there a relationship between Socio-Economic Status of parents and their involvement with the school? Is there a relationship between smoking and lung CA?

  20. 3.Causal-comparative Purpose to explore relationships among variables that cannot be actively manipulated or controlled by the researcher Examples What characteristics differentiate students who drop out from those who do not? An important characteristic is that the independent variable has already been manipulated Smoking causes lung cancer? Obj. 3.7 & 4.1

  21. X2 test t test ANNOVA

  22. 4. 4. Experimental Experimental Study Study Design Design Purpose to establish cause and effect relationships between variables Examples What is the effect of teaching with (1) a PBL group strategy or (2) What is the effect of smoking on lung? The important characteristics are that the researchermanipulates the independentvariable

  23. A controlled test of a hypothesis. Experimental Study Design Two requirements: Independent variable that can be manipulated Dependent variable that can be measured

  24. Commonly used in Experimental Medicine and Educational research. How and when to use Experimental Research Vary the independent variable and look for the effect it has on the dependent variable.

  25. TASK Answer the following questions. What are the different quantitative study designs Write the main purpose of each typeof design. 1. 2. 3. 4.

  26. Causal-comparative studies attempt to identify cause-effect relationships, correlational studies do not. Correlational vs Causal vs Experimental Causal-comparative studies involve comparison, correlational studies involve relationship. However, neither method provides researchers with true experimental data.

  27. On the other hand, causal- comparative and experimental research both attempt to establish cause-and-effect relationships and both involve comparisons. Correlational vs Casual vs Experimental In an experimental study, the researcher selects a random sampleand then randomly divides the sample into two or more groups.

  28. Summary of Research designs

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