CARA MUDAH MEMBUAT KUESIONER (INSTRUMEN PENELITIAN)

Summary

The video provides a comprehensive guide on creating a research questionnaire, emphasizing the importance of selecting the right measurement tools for accurate data collection. It covers different scales such as Likert, Guttman, Rating, and Semantic Differential, explaining how to design clear and measurable questions based on operational definitions. The process includes defining variables, selecting appropriate indicators, and ensuring the structure of the questionnaire aligns with research objectives. It aims to make the task of questionnaire creation easy and effective for researchers.

Takeaways

• 😀 Research is about measurement, requiring instruments that align with the variables being studied.
• 😀 A good research instrument ensures accurate data measurement, such as using rulers or scales for physical variables.
• 😀 The Likert Scale is widely used to measure attitudes or opinions with a range of responses from strongly agree to strongly disagree.
• 😀 The Guttman Scale is more rigid, asking yes/no questions, ensuring definite responses.
• 😀 The Semantic Differential Scale measures attitudes using bipolar scales (e.g., good vs. bad, happy vs. sad).
• 😀 Rating Scales offer a range of response options for participants to evaluate certain items.
• 😀 When designing a questionnaire, it’s essential to define variables clearly, using operational definitions that make them measurable.
• 😀 Each variable in a research study should have indicators to measure them accurately, such as wealth or academic performance.
• 😀 Randomizing the order of questions in a questionnaire helps avoid biased responses based on patterns.
• 😀 It’s important to ensure that the questions are clear, precise, and reflect the indicators accurately for effective data collection.
• 😀 Designing a good questionnaire involves structuring questions that align with the research goals and avoiding leading or ambiguous questions.

Q & A

What is the main focus of the video?

The video primarily focuses on how to create a questionnaire or survey, including the various measurement scales used in research and the steps to design an effective questionnaire.

What is a Likert Scale, and how is it used in research?

A Likert Scale is a common measurement tool used to assess attitudes or opinions, where respondents express their level of agreement or disagreement with a statement. The scale usually ranges from 'strongly agree' to 'strongly disagree'.

What is the difference between a Likert Scale and a Guttman Scale?

The Likert Scale measures attitudes on a spectrum (e.g., agreement or disagreement), while the Guttman Scale is a yes/no type scale that provides a more rigid response structure and is used to measure attitudes or behaviors in a progressive manner.

How does the Semantic Differential Scale work?

The Semantic Differential Scale measures the meaning of a concept based on bipolar adjectives. For example, it might ask respondents to rate a product on a scale between 'friendly' and 'unfriendly'.

What is the purpose of a Rating Scale in research?

A Rating Scale is used to quantify responses, where respondents rate a subject or item on a predefined scale, typically ranging from low to high, such as 1 to 5 or 1 to 10.

What are the key steps in creating a questionnaire, according to the video?

The steps to create a questionnaire include: 1) Identifying research variables, 2) Defining indicators for each variable, 3) Developing a questionnaire grid (kisi-kisi), 4) Creating specific questions based on the indicators, and 5) Randomizing questions to avoid bias.

Why is randomizing the questions in a questionnaire important?

Randomizing the questions helps prevent respondents from giving biased or dishonest answers. It ensures the validity and reliability of the data collected by avoiding patterns that could influence responses.

What are 'indicators' in the context of questionnaire creation?

Indicators are measurable signs or variables that represent the broader concepts or variables being studied. They help break down abstract ideas into tangible elements that can be measured in a questionnaire.

How does operational definition relate to questionnaire creation?

An operational definition provides a clear, measurable description of the concept being studied, making it easier to create specific questions that align with the research objectives. It transforms abstract ideas into quantifiable data.

What is the significance of the 'kisi-kisi' in creating a questionnaire?

The 'kisi-kisi' is a grid that organizes the topics and questions of the questionnaire according to the indicators. It serves as a blueprint to ensure that all aspects of the research variables are addressed and measured appropriately.