Research often involves testing the relationship between variables in a hypothesis. While various quantitative techniques can be used for this purpose, it is structural equation modeling(SEM) approach that provides a visual & easy to interpret display of the causal relationship between the variables.  Structural equation modeling, a combination of factor and multiple regression analysis, is … Continue reading “A sneak peek to performing structural equation modeling using AMOS”

Scientific research often involves correlation which generally refers to association or any form of link or correspondence. Correlation is nothing but a statistical approach used to evaluate the linear association between two continuous variables. While several types of statistical tests can be deployed to determine the relationship between two quantitative variables, Pearson’s correlation coefficient is … Continue reading “Exploring Pearson’s Correlation Coefficient Test to Determine Statistical Relationship Between Two Continuous Variables”

Statistical test can be complex but it verifies & assures the quality of the study. In analytical work, the most crucial task is the comparison of data (sets of data) and making interpretations. Inferential statistics, one among the two major branches of statistics, are concerned with making inferences based on the relationships found in the … Continue reading “Chi-Square Test: Know about the Inferential Statistical test that Operates on Categorical Variables”

Statistics, a scientific approach to analyzing 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 Non Parametric Alternative to two Sample T-Test”

In a research process, data analysis is considered as a crucial aspect as it helps in structuring the findings and provides meaningful insights to the critical decisions. In this step, cleaned data is put into analysis tools for identifying patterns, formulating results so as to make meaningful inferences and conclusions.   Conducting data analysis is … Continue reading “6 Tips to Save Yourself From Committing Blunders in Data Analysis Stage of Research”