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Uderstanding Research Design

  1. Research Design Margubur Rahaman Senior Research Fellow, Department of Migration & Urban Studies International Institute for Population Sciences (IIPS), Mumbai, India- 400088 Mail ID- margubur48@gmail.com
  2. Research • It is a process of systematic inquiry. • The process includes collection of data or documentation of critical information, analysis and presentation of the data, using suitable well defined methodologies under the supervision of systematic and scientific study design. • Generalized the study findings. Research Design
  3. One step ahead of research design 1. Identify the research problem clearly and justify its selection, particularly in relation to any valid alternative designs that could have been used, 2. Review and synthesize previously published literature associated with the research problem, 3. Clearly and explicitly specify hypotheses [i.e., research questions] central to the problem, 4. Effectively describe the data which will be necessary for an adequate testing of the hypotheses and explain how such data will be obtained, and 5. Describe the methods of analysis to be applied to the data in determining whether or not the hypotheses are true or false.
  4. What is research design ? o It is a framework for research that displays how a researcher steps forward from the assigned research problems to define the problems. o It makes research journey smooth, effective, and productive.
  5. Major types of research designs • Cross-Sectional Study Design • Longitudinal Study Design • Exploratory Study Design • Cohort Study Design • Historical Study Design • Experimental Study Design • Mixed-Method Study Design
  6. Cross-sectional study design • Cross-sectional studies can be helpful in determining how many people are affected by a condition and whether the frequency of the occurrence varies across groups or population characteristics. • The studies monitor the population for only one point in time or a short period, not over longer spans. • Define the population for study for random sampling. • Example could be to determine how many people in a community smoke tobacco. Through this, researchers can analyze the socio- demographics of people who smoke in an area to see how components like age, gender, education level, place of residence, smoking history or social status affect those results.
  7. Cross-sectional study • We determine at the same time the tobacco smoking (exposure) and evidence of tuberculosis diseases (outcome). Each study participant will be in one of the following possible subgroups (a, b, c and d): 1. Persons who have been exposed and have the disease. 2. Persons who have been exposed but do not have the disease. 3. Persons who have the disease but have not been exposed. 4. Persons who have neither been exposed nor have the disease. Commonly use analytical techniques Prevalence estimation, likelihood estimation, inequality estimation, but restricted to causality estimation.
  8. Longitudinal study • It repeatedly observe the same participants over a period of time. • Survey interval a few weeks, year, or decades. • Suitable to Causality estimation You want to study the relationship between smoking and Tuberculosis. You first conduct a cross-sectional study to see if there is a link between smoking and tuberculosis, and you discover that a link exists in men but not in women. You then decide to design a longitudinal study to further examine this relationship in men. Without the cross-sectional study first, you would not have known to focus on men in particular.
  9. Exploratory Study design • Exploratory study conducts through the lens of Qualitative research design. • The design includes the way that you, as a researcher, articulate, plan for, and set up the doing of your study. • Research design is the overall approach to how a researcher (or research team) bridges theory and concepts with the development of research questions and the design of data collection and analysis methods for a specific study. • A research design is based on an integration of the theories, concepts, goals, contexts, beliefs, and sets of relationships that shape a specific topic.
  10. When need qualitative research design • When the researchers tries to answer the question why and how? • • To catch the qualitative aspects of the determining factors. • Non-probability sampling- purposive, convenient sampling, Snowball, quota and Time and location sampling. Common techniques 1. Observation methods 2. Key Informant interview 3. In-depth Interview 4. Focus group discussion
  11. Mixed Method study design • When we present the research finding using both quantitative and qualitative research design. • Its give us more information about research finding. • The design is complex and multi-approach based. • Its divides research findings into two aspects. Merits- The study gives us surrogate reality of the research.
  12. Summery of need for Research Design Elements • Accurate purpose statement • Techniques to be implemented for collecting and analyzing research • The method applied for analyzing collected details • Type of research methodology • Probable objections to research • Settings for the research study • Timeline • Measurement of analysis
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