Applying Likert Scale in Social Sciences Surveys and Applications: Reasons and Advantages

Market research is a dominant component of research in the industry. A key aspect of this research is the ability to understand the opinion of the respondents toward a brand, feature, product, service, or anything else. When a researcher measures the opinions of the respondents, he is also able to analyze and measure the level … Continue reading “Applying Likert Scale in Social Sciences Surveys and Applications: Reasons and Advantages”

The difference between Interaction and Association: Variables as Predictors in a Regression ANOVA Model

It is very common to mix up the concept of association and interaction. Some people also assume that it is imperative for two variables to be associated before they interact. But that is not the truth. When we talk in the context of statistics, these terms have different implications f to signify the relationship between … Continue reading “The difference between Interaction and Association: Variables as Predictors in a Regression ANOVA Model”

Everything You Need to Know About Mediator and Moderator Variables

Mediator and moderator variables are often used incorrectly or are not given the importance they require in research designs. They serve different functions and are used to explore the causal relationship between independent and dependent variables. This blog deals with their differences and uses in research. What is a mediator and moderator variable?  A mediator … Continue reading “Everything You Need to Know About Mediator and Moderator Variables”

Evaluating Efficacy of Survey Research as a Quantitative Research Method

Surveys are a powerful research tool, capable of reaching a broad audience and yielding rich data. They also demand skillful use by the researcher in order to yield reliable results. When used properly, surveys can produce answers that are direct, to the point, and easily understandable. However, they are not without their own set of … Continue reading “Evaluating Efficacy of Survey Research as a Quantitative Research Method”

The Importance of Data Cleaning as a Subset of Data Preparation

The process of detecting and improving corrupt or inaccurate information or records to increase your data quality is called data cleaning. It includes the screening of the data set prior to analyzing to remove unwanted data entries or erroneous data that can prove to derail the study. The software for cleaning can be chosen depending … Continue reading “The Importance of Data Cleaning as a Subset of Data Preparation”

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