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quantitative research terms - Coggle Diagram
quantitative research terms
reporting/presentation
Presenting results
Transparency in reporting
This group involves how research findings are communicated. This is how researchers convey there methods and results best. Using these terms in research papers allows to show authenticity in the research behind the questions.
types of variables
Independent variable
Dependent variable
This category focuses on variables, which are central to research design and analysis. If there was no difference in variables then the data would be flawed. We use these terms to help show impact on data.
statistic concepts
Values
Variables
Variance
Standard deviation
Descriptive statistics
Inferential statistics
Outlier
Correlation
Causation
Statistical significance
Sampling errors
This category includes terms that describe foundational concepts in statistics used to analyze and interpret data. If we didnt use these in our data there would be serious flaws in how we interpret and read data.
validity/reliability
Validity
Reliability
Internal validity
External validity
This group focuses on the trustworthiness and consistency of research results. Using these terms in writing and research is key to proving credit on the topic.
data
Data sources
Data types
Rigor: sample size
Quantitative hypothesis
This category relates to aspects of collecting and managing data in a research context. This is used in our research to separate and show different research data. Without these terms the research data would be all together and make no sense.