How to handle a negative Cronbach’s alpha value?
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 samplingDescriptive analysis terminologies in statistics
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 beginnerPrimary data coding procedure for statistical analysis
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 methodologyUnderstanding various hypothesis testing steps
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 methodologyHow to calculate the sample size of primary research?
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 samplingA comparison of descriptive research and experimental research
There are different types of quantitative research such as survey research, descriptive research, experimental research, and causal-comparative research.
quantitative analysis, research methodologyAdvantages and limitations of quantitative data collection methods
Quantitative data collection refers to data collected from primary or secondary sources in numerical form for mathematical calculations and statistical analysis.
quantitative analysis, research methodologyWhy is it important to test heteroskedasticity in a dataset?
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