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These flashcards cover key terminology and concepts from the M.Sc. Health Informatics Research Methods lecture notes.
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Qualitative Methods
Research methods that focus on understanding human behavior, experience, and the meaning individuals give to their experiences.
Grounded Theory
A systematic methodology in the social sciences involving the construction of theories through the analysis of data.
Content Analysis
A research technique for systematically analyzing communication artifacts to identify patterns, themes, or meanings.
Open Coding
The initial stage in qualitative data analysis where data is broken down into discrete parts.
Statistical Probability
A branch of mathematics concerning the analysis of random phenomena and the likelihood of various outcomes.
Dependent Variable
The variable that is tested and measured in an experiment.
Independent Variable
The variable that is manipulated in an experiment to determine its effect on the dependent variable.
Positivist Paradigm
A philosophical approach that emphasizes observable and measurable data in the scientific study.
Inferential Statistics
Statistical methods that allow researchers to infer or predict outcomes from analyzed data.
Non-Parametric Tests
Statistical tests that do not assume a specific distribution for the data.
Wilcoxon Test
A non-parametric statistical test used to compare two paired groups.
Mann-Whitney Test
A non-parametric test used to assess whether the ranks of two independent groups differ.
Friedman Test
A non-parametric test used to detect differences in treatments across multiple test attempts.
Kruskal-Wallis Test
A non-parametric method for testing whether samples originate from the same distribution.
Chi-square Test
A statistical test used to determine if there is a significant association between categorical variables.
Spearman's Rank Correlation Coefficient
A measure of correlation that assesses how well the relationship between two variables can be described using a monotonic function.
Theoretical Saturation
The point in qualitative data collection and analysis when no new information is being discovered.
Triangulation
The use of multiple methods or data sources in qualitative research to develop a comprehensive understanding.