This document outlines the key components and processes of research methodology, including defining research and distinguishing it from merely gathering information. It discusses the motivation, components, and processes of research, including topic selection, literature review, data acquisition and analysis, and reporting. It emphasizes that research should address an important question and advance knowledge through a systematic process of increasing understanding of a phenomenon.

1. Metodologi Penelitian Dr. Hendra Grandis Program Pasca-Sarjana Geofisika Terapan FTTM - ITB

2. Agenda Research and R e s e a r c h Met h odolog y Report / Paper writing Communication Skills Presenta tion

3. Research Components & Processes Research Topic Literature Review Conceptual Framework Data Acquisition Data Analysis Report Writing Scientific Publication

4. Research an activity that contributes to the understanding of a phenomenon [Kuhn, 1962; Lakatos, 1978] the systematic process of collecting and analyzing information (data) in order to increase our understanding of the phenomenon about which we are concerned or interested [ Leedy and Ormrod, 2001]

5. Research phenomenon a set of behaviors of some entity (ies) that is found interesting by a research community u nderstanding knowledge that allows prediction of the behavior of some aspect of the phenomenon activities process appropriate to the production of understanding (knowledge) i.e., research methods

6. What Research Is Not Research isn’t information gathering Gathering information from resources such books or magazines isn’t research. No contribution to new knowledge (although this might make existing knowledge more accessible).

7. Motivation Motivation for research pure research : enhance understanding of phenomena instrumentalist research : a problem needs a solution applied research : a solution needs application fields

8. Research Processes Originates with a question or problem. Requires clear articulation of a goal. Follows a specific plan or procedure. Often divides main problem into subproblems. Guided by specific problem, question, or hypothesis. Accepts certain critical assumptions. Requires collection and interpretation of data. Cyclical (helical) in nature.

10. Method vs. Methodology Method how to make something or to achieve results technique Example: Scientific method a series of steps taken to acquire knowledge

11. Method vs. Methodology Methodology the analysis of the principles of methods, rules, and postulates employed by a discipline the systematic study of methods within a discipline a particular procedure or set of procedures

12. Method vs. Methodology Methodology includes the following concepts as they relate to a particular discipline : a collection of theories, concepts or ideas comparative study of different approaches critique of the individual methods

13. Method vs. Methodology Method Techniques for gathering evidence The various ways of proceeding in gathering information Methodology The underlying theory and analysis of how research does or should proceed, often influenced by discipline (Sandra Harding)

14. Motivation Motivation for research methodology (qualitatively) control research process validate research results compare research approaches respect rules of good scientific practice

15. Research Projects Research begins with a problem. This problem need not be Earth-shaking. Identifying this problem can actually be the hardest part of research. In general, good research projects should: Address an important question. Advance knowledge.

16. Research Project Pitfalls The following kinds of projects usually don’t make for good research Self-enlightenment. Comparing data sets. Correlating data sets. Problems with yes / no answers.

17. Sources of Research Problems Observation. Literature reviews. Professional conferences. Experts.

18. Research Proposal Descri ption of the intended research , including: Problem and subproblems. Hypotheses. Delimitations. Definitions. Assumptions. Importance. Literature review.

19. Stating the Research Problem Once a research problem identified: State that problem clearly and completely. Determine the feasibility of the research.

20. Stating the Research Problem Identify subproblems: Completely researchable units. Small in number. Add up to the total problem. Must be clearly tied to the interpretation of the data.

21. Hypotheses Hypotheses are tentative, intelligent guesses as to the solution of the problem. There is often a 1-1 correspondence between a subproblem and a hypothesis. Hypotheses can direct later research activities since they can help determine the nature of the research and methods applied.

22. Delimitations All research has limitations and thus certain work will not be performed. The work that will not be undertaken is described as the delimitations of the research.

23. Definitions Define each technical term as it is used in relation to your research project. This helps remove significant ambiguity from the research itself by ensuring that reviewers, while they may not agree with your definitions, at least know what you’re talking about.

24. Assumptions Assumptions are those things that the researcher is taking for granted. For example: a given test instrument accurately and consistently measures the phenomenon in question. As a general rule you’re better off documenting an assumption than ignoring it. Overlooked assumptions provide a prime source of debate about a research project’s results.

25. Importance of the Study Many research problems have a kind of theoretical feel about them. Such projects often need to be justified: What is the research project’s practical value? Without this justification, it will prove difficult to convince others that the problem in question is worth study.

26. Literature Review A literature review is a necessity. Without this step, you won’t know if your problem has been solved or what related research is already underway. Don’t be discouraged if work on the topic is already underway.

27. Literature Review Start searching professional ( peer reviewed ) journals Begin with the most recent articles you can find. Keep track of relevant articles in a bibliography.

28. Research Process Research is an extremely cyclic process. Later stages might necessitate a review of earlier work. This isn’t a weakness of the process but is part of the built-in error correction machinery. Because of the cyclic nature of research, it can be difficult to determine where to start and when to stop.

30. Step 1: A Question Is Raised A question occurs to or is posed to the researcher for which that researcher has no answer. This doesn’t mean that someone else doesn’t already have an answer. The question needs to be converted to an appropriate problem statement like that documented in a research proposal.

31. Step 2: Suggest Hypotheses The researcher generates intermediate hypotheses to describe a solution to the problem. This is at best a temporary solution since there is as yet no evidence to support either the acceptance or rejection of these hypotheses.

32. Step 3: Literature Review The available literature is reviewed to determine if there is already a solution to the problem. Existing solutions do not always explain new observations. The existing solution might require some revision or even be discarded.

33. Step 4: Literature Evaluation It’s possible that the literature review has yielded a solution to the proposed problem. This means that you haven’t really done research. On the other hand, if the literature review turns up nothing, then additional research activities are justified.

34. Step 5: Acquire Data The researcher now begins to gather data relating to the research problem. The means of data acquisition will often change based on the type of the research problem. This might entail only data gathering, but it could also require the creation of new measurement instruments.

35. Step 6: Data Analysis The data that were gathered in the previous step are analyzed as a first step in ascertaining their meaning. As before, the analysis of the data does not constitute research. This is basic number crunching. It might be necessary to make a data modelling approach.

36. Step 7: Data Interpretation The researcher interprets the newly analyzed data and suggests a conclusion. This can be difficult. Keep in mind that data analysis that suggests a correlation between two variables can’t automatically be interpreted as suggesting causality between those variables.

37. Step 8: Hypothesis Support The data will either support the hypotheses or they won’t. This may lead the researcher to cycle back to an earlier step in the process and begin again with a new hypothesis. This is one of the self-correcting mechanisms associated with the scientific method.

38. High-Quality Research Good research requires: The scope and limitations of the work to be clearly defined. The process to be clearly explained so that it can be reproduced and verified by other researchers. A thoroughly planned design that is as objective as possible.

39. High-Quality Research Good research requires: Highly ethical standards be applied. All limitations be documented. Data be adequately analyzed and explained. All findings be presented unambiguously and all conclusions be justified by sufficient evidence.

40. What Makes Research Good? Validity Reliability Replicability Consistent application/analysis “ Trustworthiness” Rigor

41. Validity in Research Refers to whether the research actually measures what it says it’ll measure. Validity is the strength of our conclusions, inferences or propositions. Internal Validity : the difference in the dependent variable is actually a result of the independent variable External Validity : the results of the study are generalizable to other groups and environments outside the experimental setting

42. Validity in Research Refers to whether the research actually measures what it says it’ll measure. Validity is the strength of our conclusions, inferences or propositions. Conclusion Validity : we can identify a relationship between treatment and observed outcome Construct Validity : we can generalize our conceptualized treatment and outcomes to broader constructs of the same concepts

43. Reliability in Research The consistency of a measurement, or the degree to which an instrument measures the same way each time it is used under the same condition with the same subjects. In short, it is the repeatability of your measurement. A measure is considered reliable if a person's score on the same test given twice is similar. It is important to remember that reliability is not measured, it is estimated . Measured by test/retest and internal consistency.

44. Validity and Reliability A measurement can be reliable, but not valid. However, a measurement must first be reliable before it can be valid. Thus reliability is a necessary, but not sufficient, condition of validity. In other words, a measurement may consistently assess a phenomena (or outcome), but unless that measurement tests what you want it to, it is not valid.

45. Rigor in Research Validity and Reliability in conducting research Adequate presentation of findings: consistency, trustworthiness Appropriate representation of study for a particular field: disciplinary rigor Rhetorical Rigor: how you represent your research for a particular audience