Glossary
Glossary | |
These is glossary of research key terms. This glossary is intended as an aid to
professionals and non-professionals who find the world of research
somewhat intimidating. While it is impossible to cover all the terms
that can be confusing, this document briefly defines some of the more
common terms and concepts. | |
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| Term | Definition |
| Control variable/ (test variable) | a variable you believe to be like the independent variable in that it is also related to the dependent variable (e.g., gender and race both seem to be related to income) and the researcher tries to clarify the relationship between the three variables. The researcher divides (controls) the dataset into sub-groups by categories of the new variable(s) (e.g., gender, an antecedent variable, would divide the dataset into two groups (1) female, (2) male) |
| Convenience sampling (also referred to a | a non-probability sampling strategy that uses the most easily accessible people (or objects) to participate in a study. Purposive/purposeful sampling: a non-probability sampling strategy in which the researcher selects participants who are considered to be typical of the wider population (sometimes referred to as judgmental sampling). |
| Conventionalism | We tend to conform to conventions, remaining within canonized paradigms. |
| Core category | The central category that is used to integrate all the categories identified in grounded theory research. |
| Correlation | 1. The degree of association between two variables. A tendency for variation in one variable to be linked to variation in a second variable. 2. an association or degree of agreement between two or more variables. The relationship may be linear (positive[direct] or negative[inverse]) or curvilinear e.g. the relationship between gender and income is a positive linear relationship |
| Correlation coefficient | A measure of the degree of relationship between two variables. A correlation coefficient lies between +1.0 (indicating a perfect positive relationship), through 0 (indicating no relationship between two variables) to -1.0 (a perfect negative relationship). |
| Cramer's V | Measure of association appropriate when one or both of the variables consists of unordered categories. |
| Glossary V2.0 | |
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