Introduction to Research Statistical Analysis: An Overview of the Basics
Christian Vandever
Abstract
Description This article covers many statistical ideas essential to research statistical analysis. Sample size is explained through the concepts of statistical significance level and power. Variable types and definitions are included to clarify necessities for how the analysis will be interpreted. Categorical and quantitative variable types are defined, as well as response and predictor variables. Statistical tests described include t-tests, ANOVA and chi-square tests. Multiple regression is also explored for both logistic and linear regression. Finally, the most common statistics produced by these methods are explored.
Topics & Concepts
Categorical variableStatisticsLogistic regressionStatistical hypothesis testingStatistical analysisVariablesStatistical powerRegression analysisEconometricsAnalysis of varianceSample size determinationLinear regressionMathematicsAdvanced Statistical Modeling Techniques