Enhancement of Survey Research: A Statistical Perspective

Abstract

Surveys are carried out to study the characteristics of a population by studying a sample a sub-set of the population. An accurate sample which is representative of the population is essential to gather representative data to draw statistical inferences and conclusion for decision making using the outcome of the survey. However, there is a lacuna on part of a selection of the type study variables— continuous, nominal, ordinal, or ratio and on the needed statistical test which can be run on the gathered data. This situation leads to wrong representation results and improper decision-making. Therefore, in this review, the researchers elaborate on the selection of appropriate statistical tests for analyzing the survey data and interpretation of results. This manuscript covers the most commonly used statistical stets for survey data association, reliability, predictions, differences between groups, and calculation of sample size for a study. The researchers also provided on the use of binomial, ordinal, and multinomial logistic regressions and the authors assume that researchers carrying out a study is well-versed with sampling methods, and emphasizing the sampling methods is out of the scope of this paper. The researchers believe that the students, research scholars, and other research communities who undertake the survey research will immensely benefit from our article.