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QUANTITATIVE, VARIABLE, MINDMAP: QUANTITATIVE - Coggle Diagram
QUANTITATIVE
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INFERENTIAL STATISTICS
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Examples (TESTS)
Pearson’s Correlation Coefficient, r
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A process of presenting and interpreting numerical data 
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ADVANTAGES
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Larger sample, a broader study can be made, involving more subjects and enabling more generalization of results.
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Objectivity and accuracy, few variables are involved as data relates to close-ended information.
DISADVANTAGES
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Overlooks the respondents’ experiences and perspectives in highly controlled settings because there lacks a direct connection between researchers and the participants when collecting data.
Artificiality: when research can be carried out in an unnatural environment so that control can be applied, meaning results might differ to ‘real world’ findings.
THE IMPORTANCE
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CHAPTER 2
provides a framework for establishing the importance of the study as well as a benchmark for comparing the results with other findings
CHAPTER 3
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thoroughly outlines systematic methods and procedures of establishing the psychometric and trustworthiness of research instruments
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VARIABLE
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- A variable is a characteristic of interest that varies from one item to another and may take any one of a specified set of values or attributes
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