Experimental Research Questions
Statistical significance in experimental research refers to the likelihood that the results obtained from an experiment are not due to chance or random variation. It is a measure of the confidence we can have in the relationship or difference observed between variables. In order to determine statistical significance, researchers use statistical tests to analyze the data and calculate a p-value. The p-value represents the probability of obtaining the observed results if there is no true relationship or difference in the population being studied. If the p-value is below a predetermined threshold (usually 0.05), the results are considered statistically significant, indicating that the observed relationship or difference is unlikely to have occurred by chance alone. Statistical significance helps researchers draw valid conclusions and make generalizations about the population based on the sample data collected in the experiment.