SKALA PENGUKURAN KUISIONER : SKALA LIKERT, SKALA GUTTMAN, SEMANTIC DEFFERENSIAL, DAN RATING SCALE

Summary

This video discusses key aspects of quantitative research, focusing on measurement scales and research instruments. It explains the different types of data sources, including internal and external data, and primary and secondary data sources. The presenter emphasizes the importance of choosing the correct measurement scale to transform qualitative data into quantitative data, with examples such as Likert, Guttman, Semantic Differential, and Rating Scales. The video highlights how these scales are used to analyze data in research, ultimately aiding in the process of collecting and interpreting data for statistical analysis.

Takeaways

• 😀 Quantitative research involves analyzing data that can be measured using statistical procedures.
• 😀 Data sources in quantitative research can be internal (from within the research environment) or external (from outside the research environment).
• 😀 Internal data refers to data collected within the research setting, such as from an organization’s own operations, like a bank’s financial and employee performance data.
• 😀 External data is gathered from outside sources, like websites or institutions such as Bank Indonesia or the OJK, and can be secondary data used for variables that cannot be directly accessed.
• 😀 Primary data is collected directly by researchers from the field, while secondary data is already available from external sources.
• 😀 In quantitative research, researchers need to select appropriate measurement scales to convert qualitative data into quantitative forms for analysis.
• 😀 Qualitative data, such as yes/no responses, must be converted into numerical data (e.g., 'Yes' = 1, 'No' = 0) to facilitate statistical analysis.
• 😀 Likert Scale is used to measure attitudes, perceptions, and opinions, typically with five options ranging from 'strongly agree' to 'strongly disagree'.
• 😀 Guttman Scale is used for questions that can only have two possible responses, such as 'Yes/No' or 'True/False', to measure specific traits or behaviors.
• 😀 Semantic Differential Scale measures attitudes along a continuum from one extreme to another, such as from 'Very Negative' to 'Very Positive', with multiple intermediate options.
• 😀 Rating Scale involves numerical intervals (e.g., 1-10) and helps assess readiness or performance by interpreting the numerical scores based on predefined criteria.

Q & A

What is the main focus of the video script?

The main focus of the video script is explaining the concept of measurement scales and research instruments used in quantitative research, as well as the process of converting qualitative data into quantitative data for analysis.

What are the two main types of data sources discussed in the video?

The two main types of data sources discussed are 'internal data' (data collected from within the research site) and 'external data' (data collected from outside the research site).

What is the difference between primary and secondary data?

Primary data is collected firsthand by the researcher directly from the field, while secondary data refers to data that is already available from external sources, such as websites or databases.

Why are measurement scales important in quantitative research?

Measurement scales are important because they help researchers convert qualitative data into quantitative data, enabling statistical analysis and drawing meaningful conclusions from the data.

What are the four types of measurement scales mentioned in the video?

The four types of measurement scales mentioned are Likert scale, Guttman scale, Semantic differential scale, and Rating scale.

How does the Likert scale work in measuring attitudes or perceptions?

The Likert scale works by providing multiple levels of agreement (e.g., Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree) to measure attitudes, opinions, or perceptions of individuals toward a specific statement.

What is the Guttman scale, and when is it typically used?

The Guttman scale is used for binary (yes/no) responses, where respondents answer questions with a clear 'yes' or 'no', often used for measuring a respondent's attitude or belief in a definitive way.

What does the Semantic differential scale measure?

The Semantic differential scale measures attitudes by presenting a continuous range of opposing adjectives (e.g., professional vs. amateur), allowing respondents to place their response along this continuum.

How does the Rating scale work, and what does it measure?

The Rating scale works by asking respondents to rate an item on an interval scale, often from 1 to 10, with specific definitions for each number (e.g., 1 representing poor service and 10 representing excellent service). It measures the intensity or quality of a particular variable.

What happens to qualitative data after it is transformed using measurement scales?

Once qualitative data is transformed using measurement scales, it becomes quantitative and can be analyzed using statistical procedures, making it suitable for research analysis.