Unlocking the Power of Data Analysis for Educational Research Success
The article "Statistical Techniques for Data Analysis" covers a wide range of statistical methods used in analyzing data. It explains the meaning of statistics, how to measure and organize data, and different ways to describe data like central tendency and variability. The article also discusses correlation, regression, significance testing, and various statistical tests. It emphasizes the practical application of statistics in educational research and provides examples for manual calculations. This resource is helpful for new researchers in education programs like M.Ed., M.Phil., and Ph.D. to understand and choose appropriate statistical techniques for their data analysis needs.