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Qualitative, Quantitative Research - Coggle Diagram
Qualitative, Quantitative Research
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Qualitative
Grounded Theory - a method where researchers analyze collected data to develop new theories about a social phenomenon.
Open Coding - This process involves finding important ideas or themes hidden in text that relate to the topic being studied.
Axial Coding -categories and subcategories are assembled into causal relationships or hypotheses that can tentatively explain the phenomenon of interest.
Selective Coding - finding the main idea or key factor and then clearly showing how it connects to other related ideas.
Theoretical Saturation - collecting more data doesn’t change the main ideas or how they are connected.
Concept Mapping - A visual diagram that shows concepts and how they are connected, often using boxes and arrows.
Storylining - The categories and their relationships are used to explain or improve the understanding of the observed phenomenon.
Memoing - Using these notes to find patterns and connections between categories, often shown with tables, diagrams, or other visual displays.
Content Analysis
Sentiment Analysis - A method used to find out what people think or feel about something, someone, or an event.
Hermeneutic Analysis - A type of content analysis where the researcher interprets the meaning of a text based on its social and historical context.
Quantitative (Inferential) - The statistical methods used to determine if and how variables are related.
General Linear Model - Most statistical tests in social science come from a common set of general statistical models.
Regression Analysis - The process of calculating the numbers that show how much one variable affects another in a regression analysis.
Two Group Comparison - A method used to compare the results of two groups to see if there’s a significant difference between them.
Factorial Designs - study setup that looks at how two or more factors (variables) interact with each other to affect an outcome. It tests all possible combinations of the factors.
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Sampling Distribution - The expected pattern of results you would get if you could take an unlimited number of samples from the population you’re studying.