Data Collection & Analysis

A research approach that combines both qualitative (descriptive) and quantitative (numerical) data to provide a more comprehensive understanding.

A statistical test used to compare the means of two groups to determine if the difference is statistically significant.

A comprehensive summary of all available evidence on a specific research question, using standardized methods to search, appraise, and synthesize findings.

A determination that results are unlikely to have occurred by chance, typically based on a p-value threshold (e.g., p < 0.05).

A mathematical approach to interpreting numerical data. Helps assess significance, trends, and relationships in a study.

A measure of the amount of variation or spread in a set of values. A low standard deviation indicates that values are close to the mean.

A qualitative data collection method that uses a flexible guide with open-ended questions, allowing for both consistency and exploration of participant responses.

The plan for how participants or data sources are selected in a study. It includes methods like random sampling, stratified sampling, or purposive sampling.

A statistical method used to examine the relationship between one dependent variable and one or more independent variables.

A research method that uses numerical data and statistical techniques to examine relationships, patterns, or outcomes.