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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”

Getting Started with SAS for Analyzing Statistical Data

The Statistical Analysis System (SAS) specializes in advanced analytics. The main purpose of SAS is to retrieve, report and analyze statistical data. It has the flexibility to incorporate data from numerous sources and facilitate descriptive visualization through graphs. This article brings you the essentials of SAS for researchers who require the software for their data … Continue reading “Getting Started with SAS for Analyzing Statistical Data”

An Effective Guide to Choosing a Qualitative Research Approach

Qualitative research is the systematic inquiry into social phenomena in natural settings. It is a study of how people experience the world with focus on analyzing descriptive and conceptual findings. How this data is collected depends on the approach of the scholar to his or her study. Each qualitative research approach uses different data collection … Continue reading “An Effective Guide to Choosing a Qualitative Research Approach”

Wilcoxon Rank-Sum test : A nonparametric alternative to two sample t-test

Statistics, a scientific approach to analysing numerical data, is employed to discover relationships among the phenomena to describe, predict and control their occurrence.  Statistics helps the researcher to acquire precise, steadfast and dependable findings. Although there are several statistical tests such as ANOVA, independent t-test, etc. to arrive at the right result, one must choose … Continue reading “Wilcoxon Rank-Sum test : A nonparametric alternative to two sample t-test”

Why use SPSS AMOS for Structural Equation Modelling (SEM)?

Analyzing structural relationships is made feasible with the help of Structural Equation Modelling. It is the amalgamation of factor analysis and regression analysis. These techniques are used to study the relationship between structural variables and constructs in latent variables. This method is preferred by researchers because of its ability to perform multiple operations in a … Continue reading “Why use SPSS AMOS for Structural Equation Modelling (SEM)?”

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