Apa itu Variabel Penelitian ??? VARIABEL PENELITIAN Adalah

Summary

In this video, the host explains the concept of research variables, which are essential in quantitative research. The video covers various types of variables, including independent and dependent variables, dynamic and static variables, conceptual and factual variables, and those classified by measurement scale. The importance of understanding and properly defining variables in research is emphasized, especially for ensuring objective, measurable, and testable outcomes in research projects. The video is educational, providing clear insights for students and researchers looking to understand the foundation of research methodology.

Takeaways

• 😀 The video introduces the concept of research variables and explains how to identify them in a research study.
• 😀 Research variables are crucial in forming the foundation of a study and help researchers determine what they are investigating.
• 😀 According to Effendi (1982), research variables are concepts that vary in value, while Sugiono (2016) describes them as attributes or qualities of people, objects, or activities that can be studied.
• 😀 A research variable must be measurable, especially in quantitative research, which relies on objective and testable results.
• 😀 The video explains the difference between variables in quantitative and qualitative research, with quantitative research using measurable variables.
• 😀 Types of research variables include independent (or free) variables and dependent (or bound) variables, which are related to each other.
• 😀 An independent variable (or free variable) influences changes in another variable, as seen in studies like the effect of reading interest on student achievement.
• 😀 A dependent variable (or bound variable) is influenced by the independent variable, representing the outcome or result of the study.
• 😀 Variables can be categorized as dynamic or static, with dynamic variables being changeable, while static variables remain constant.
• 😀 Research variables can also be classified based on their urgency—conceptual variables, which are abstract and visible only through indicators, and factual variables, which are observable in real-world data.
• 😀 The video also covers the classification of variables based on measurement scales, distinguishing between nominal variables, which are categorical, and continuous variables, which have gradations or levels.

Q & A

What is a research variable?

A research variable is a concept that contains variations in values. It is an attribute or characteristic of a subject, object, or activity that can vary and is set by the researcher to be studied and analyzed.

Why are variables important in research?

Variables are crucial in research because they form the foundation of the study. They help define what is being studied and allow researchers to measure and analyze the relationship between different factors in their research.

What is the difference between independent and dependent variables?

An independent variable is one that influences or causes changes in other variables, while a dependent variable is affected by the independent variable. For example, in a study on reading interest and academic achievement, 'reading interest' is the independent variable, and 'academic achievement' is the dependent variable.

Can you explain dynamic and static variables in research?

Dynamic variables are those that can change over time, such as motivation or job performance. Static variables, on the other hand, remain constant and do not change, such as gender, ethnicity, or social status.

What are conceptual and factual variables?

Conceptual variables are those that are abstract and cannot be directly observed but are understood through indicators, like motivation or intelligence. Factual variables are those that can be directly observed or measured, such as age, gender, or educational background.

How do nominal and continuum variables differ?

Nominal variables are categorical and represent different groups or categories that do not have a specific order, like gender or ethnicity. Continuum variables, on the other hand, are measured on a scale and have an order or hierarchy, such as age or income level.

What is the role of a research hypothesis?

A research hypothesis is a statement or assumption that predicts the relationship between variables in a study. It helps guide the research process by providing a clear direction for the study's objectives and outcomes.

Why is it important for research variables to be measurable?

It is important for research variables to be measurable because it ensures that the research is objective, quantitative, and can be replicated. Measurable variables provide data that can be analyzed and tested for validity.

What challenges might arise when defining research variables?

Challenges in defining research variables include ensuring clarity and specificity, selecting appropriate measurement tools, and making sure that the variables accurately represent the concepts being studied. Ambiguous or poorly defined variables can lead to unreliable results.

How does the use of research variables differ between qualitative and quantitative research?

In quantitative research, variables are clearly defined and measurable, often through numeric data, while in qualitative research, variables are more abstract and are studied through descriptive or thematic analysis. Quantitative research focuses on relationships between variables, while qualitative research focuses on understanding deeper insights and meanings.