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Research Design: Blue print for conducting a study

Research Design: Blue print for conducting a study. May 15, 2013 RG 701- Advance Research Methods. What is Research Design?. A plan , structure and strategy of investigation so conceived as to obtain answers to research question or problem. Blueprint of research study.

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Research Design: Blue print for conducting a study

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  1. Research Design: Blue print for conducting a study May 15, 2013 RG 701- Advance Research Methods

  2. What is Research Design? A plan, structure and strategy of investigation so conceived as to obtain answers to research question or problem.

  3. Blueprint of research study • Operationalizing the variables • Sample selection • Data collection • Analyzing results

  4. ‘How’ of the research journey • Once Research question has been finalized • Research Problem: decided what you want to study THEN • Need to determine howto conduct study • Need to design your research • Set of instructions for researcher to gather and analyze data • Scheme of plan of actions for meeting the objectives

  5. Purpose • To provide a plan in answering research question Important Consideration: • To minimize the possible errors • To maximize the validity and reliability of data In order to maximize the control over factors that could interfere with the validity of the findings

  6. Functions of a Research Design • Conceptualize an operational plan to undertake the various procedures and tasks required to complete your study • Control of variance: Ensure that these procedures are adequate to obtain valid, objective and accurate answers to the research question

  7. 1. The researcher’s plan Highlights the methods and tools that are used during research process • Name ‘study design’ • Detailed information regarding: • How the study will be conducted • Study population • Sample size • Type of data that will be collected • Identification of variables • Data collection means/method • Where interviews (if required) be conducted • Managing Ethical issues • Etc.

  8. Reliability of Variables • Consistency, stability, or dependability of data • A research method should yield the same result, even if conducted twice or more

  9. Validity of variables • Data need not only be reliable but valid as well • Validity refers to which extent an instrument is able to actually measure what it is supposed to measure

  10. 2. Theory of Causality • Selection of a study design that will minimizethe effects of • extraneous variables influencing the independent variable • chance or random error: due to random or chance variables –change in dependent variable due to respondent’s state of mode or ambiguity in the research instrument (ambiguous questions)

  11. Study design in Quantitative Research

  12. Types of Research Design • See Fig 8.1of text book • Classification based on: • Number of contacts • Reference period of study • Nature of the investigation

  13. Study Design Number of Contacts One Two Three or more X-sectional studies Before and after studies Longitudinal studies

  14. Study Design Reference Period Prospective Retrospective - Prospective Retrospective

  15. Study Design Nature of Investigation Non-experimental Semi-experimental Experimental

  16. Study Based on Number of Contacts

  17. Cross-sectional Study Design • Simple in design • Also known as ‘one-shot’ or ‘status studies’ • Best suited for finding out the prevalence of a phenomenon, situation, problem, attitude or issue • Takes one time cross-section of a population • Cross-sectional with regard to both • Study population • Time of investigation • Disadvantage: • Can not measure change

  18. Before & After Studies • Also known as ‘Pre-test/post-test’ design • Measures change • Can be described as two sets of cross-sectional data collection points on the same population in time • Change is measured by comparing the difference in the variable(s) before and after intervention • Disadvantages • Expensive and difficult • Measures total change including due to extraneous var. • Time lapse problems • Reactive effect of instrument/regression e

  19. Longitudinal Studies • Before and after only measures change but not the trend… • Longitudinal studies determine the pattern in change in relation to time • Intervals may vary from study to study • Considered as series of repetitive cross-sectional studies

  20. Study Based on Reference Period

  21. Retrospective • Investigates a phenomenon, situation, problem or issue that has happened in the past • conducted on the basis of: • data available for that period or • respondents’ recall of the situation

  22. Prospective • Refers to the likely prevalence of a phenomenon, situation, problem or outcome in the future • Establishes the outcome of an event or what is likely to happen • Researcher must wait for an intervention to register its effects

  23. Retrospective -Prospective • Focuses on past trends in a phenomenon and study it into the future • Part of data is collected retrospectively from existing records before the intervention in introduce • Influence of intervention is studied afterwards

  24. Study Based on Nature of Investigation

  25. Experimental • Starting from cause to establish its effects • Introducing the intervention and monitor the change • Flexibility of controlling or manipulating the independent variable • Some commonly used experimental study designs: • Before-and-after • Control group design • Double control design • Comparative design

  26. Control group design Two population groups are selected for comparison (comparable in every respect except for the intervention): • Experimental group • Receives/is exposed to the intervention • Control group • not exposed to the intervention • Chief objective of the control group is to quantify the impact of extraneous variables • Helps to ascertain the impact of the intervention only

  27. Continu….Control group design • Make ‘Before’ observations on both groups (same time) • Experimental group is exposed to intervention • Make ‘after’ observations on both groups • Calculate difference in the ‘before’ and ‘after’ observations between the groups regarding dependent variable(s)

  28. I/var. Study population Study population Intervention Experimental Group D/var. Y”e D/var. Y’e Study population Study population Control Group Exp G: Total Change in D/var. Ye = (Y”e-Y’e) = impact of (intervention ± extraneous var. ± chance var.) Cont. G: Total Change in D/var. Yc = (Y”c-Y’c) = impact of (extraneous var. ± chance var.) D/var. Y”c D/var. Y’c Difference between Ex & Cont Groups equals to the ‘Impact of the Intervention’

  29. Double Control Groups • Two control groups • To quantify the impact due to the research instrument • Exclude one control group from ‘before’ observation

  30. Comparative design • The study the effectiveness of different interventions • The study population is divided into same number of groups as the number of interventions

  31. Matched Control Experimental Design • Identical members from study population selected for study

  32. Non-experimental • Starting from effects to trace the cause effects/outcomes --------- causation • Observation of a phenomenon and then establishing its cause

  33. Semi-experimental • Has properties of both experimental and non-experimental studies

  34. Rrferences • Text book • http://www.slideshare.net/ludymae/chapter-7the-research-design

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