METODE PRAKTIS MENYUSUN PROPOSAL DAN LAPORAN HASIL PENELITIAN - PART - 6

METLIT SUNGKONO 57
7 Aug 202316:29

Summary

TLDRIn this video, the speaker provides an in-depth guide on creating a research design for compiling scientific reports, focusing on chapter 3. The speaker emphasizes the importance of developing a clear research design, including the use of operational definitions, sample populations, and sampling techniques. A special focus is placed on making design images and tables for clarity. Additionally, the speaker advises on the importance of including both primary and secondary data collection methods and stresses the value of field research over online data gathering. The content is aimed at students working on final assignments or research projects.

Takeaways

  • 😀 Research design begins in Chapter 3 of a report, typically starting with a discussion of research designs, including their steps and processes.
  • 😀 It’s important to create a visual representation of the research design, which helps clarify the steps involved in the research process.
  • 😀 The process involves operationalizing variables, which includes ensuring the validity of data, often by performing normality tests and re-assessing the data if necessary.
  • 😀 Data collection starts after confirming sample validity, and research must be structured so that no data point is invalid or irrelevant.
  • 😀 After completing the research design, it’s essential to develop a schedule that includes the entire research process, from proposal to thesis defense.
  • 😀 A research design schedule should not only cover the proposal phase but should also extend through the final defense to avoid interruptions and ensure clarity.
  • 😀 When writing research, ensure proper citations to avoid plagiarism, especially when quoting from external sources.
  • 😀 An operational definition should clearly explain the condition of variables being studied, based on synthesis from multiple expert definitions.
  • 😀 The researcher should operationalize the variables by breaking down theoretical indicators into practical ones, which can be reflected in research instruments such as questionnaires.
  • 😀 The sampling process differs depending on whether the population is limited or unlimited, with techniques such as the Slovin formula or saturated sampling being used accordingly.
  • 😀 Data collection techniques include interviews, questionnaires, and observations, while online methods should be cautiously handled due to potential trust issues with participants.

Q & A

  • What is the primary focus of Chapter 3 in a research report?

    -Chapter 3 primarily focuses on developing a clear and systematic research design. This chapter typically includes describing the research methodology, including operational definitions, sampling techniques, and data collection processes.

  • Why is it important to create a design image in research design?

    -A design image helps researchers visualize the process, ensuring they can track each step in the research, from problem identification to the final conclusion. It also makes it easier to spot unfinished tasks and clarify complex stages.

  • What does operationalizing variables mean in the context of research design?

    -Operationalizing variables means making abstract concepts measurable by defining them in a way that they can be observed, tested, and analyzed. This process involves establishing clear indicators and dimensions for each variable.

  • What is the role of the normality test in data analysis?

    -The normality test checks whether the collected data follows a normal distribution, which is necessary for certain types of statistical analyses. If the data does not meet normality criteria, further adjustments may be needed.

  • How should a research schedule be structured?

    -A research schedule should extend beyond the proposal seminar and cover the entire research process, including data collection, analysis, and thesis defense. It helps keep the researcher on track and ensures timely completion.

  • What is the difference between operational definitions and other types of definitions?

    -An operational definition is a specific, researcher's conclusion about how a variable will be defined and measured in a particular study. Unlike general definitions, it is tailored to the needs and conditions of the research.

  • What sampling techniques are recommended for limited and unlimited populations?

    -For limited populations, the Slovin formula is used to determine the sample size. For unlimited populations, a saturated sample is usually taken, where all individuals from the sample group are studied.

  • What are the main data collection techniques in research?

    -The main data collection techniques include interviews, questionnaires, observations, or a combination of these methods. The choice depends on the research type and objectives.

  • Why is it suggested to collect data in the field rather than relying on online tools?

    -Collecting data in the field is encouraged to ensure more reliable responses. While online surveys can be convenient, they may result in unreliable or careless answers, reducing data accuracy.

  • What is the difference between primary and secondary data?

    -Primary data is original data collected directly from the research subject, such as through interviews or surveys. Secondary data, on the other hand, is obtained from existing sources like government publications or other research studies.

Outlines

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Mindmap

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Keywords

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Related Tags
Research DesignData CollectionFinal AssignmentScientific ResearchStudent TipsResearch MethodologyAcademic WritingOperational DefinitionsSampling TechniquesData Analysis