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How to handle a negative Cronbach’s alpha value?

By Riya Jain and Priya Chetty on October 6, 2021 4 Comments

Sometimes Cronbach’s alpha value is negative, i.e. below 0. This article explains how to handle negative Cronbach’s alpha value so that it is turned acceptable.

 research methodology, research sampling

Descriptive analysis terminologies in statistics

By Riya Jain and Priya Chetty on August 23, 2021 No Comments

Descriptive analysis is a popular method of examining a dataset’s characteristics. In this article, we review some of the most basic terms in the following statistical tests.

 research methodology, spss beginner

Primary data coding procedure for statistical analysis

By Riya Jain and Priya Chetty on July 12, 2021 No Comments

The first step in the process of statistical analysis is primary data coding. This refers to the coding of responses obtained in the survey.

 developing questionnaire, research methodology

Understanding various hypothesis testing steps

By Riya Jain and Priya Chetty on June 17, 2020 No Comments

This article emphasizes the process of various hypothesis testing steps. A research hypothesis is a clear statement or assumption of a researcher about the possible relationship between two variables, or elements, in a study.

 hypothesis testing, research methodology

How to calculate the sample size of primary research?

By Priya Chetty and Riya Jain on June 10, 2020 4 Comments

The calculation of the sample size is to determine the number of units or items that a researcher needs to include in the sample. Sample size calculation is the fourth step of sampling design and comes after the identification of the population.

 research methodology, research sampling

A comparison of descriptive research and experimental research

By Apara Bhattacharya and Priya Chetty on May 18, 2020 No Comments

There are different types of quantitative research such as survey research, descriptive research, experimental research, and causal-comparative research.

 quantitative analysis, research methodology

Advantages and limitations of quantitative data collection methods

By Ashni Walia and Priya Chetty on May 12, 2020 No Comments

Quantitative data collection refers to data collected from primary or secondary sources in numerical form for mathematical calculations and statistical analysis.

 quantitative analysis, research methodology

Why is it important to test heteroskedasticity in a dataset?

By Riya Jain and Priya Chetty on March 23, 2020 3 Comments

Heteroskedasticity refers to the state of systematic changes in the spread of residuals or the error term of the model. The presence of heteroskedasticity leads to violation of the assumption of the ordinary least square.

 research methodology, research reliability
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