Glossary | |
| These is glossary of research key terms. | |
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| Term | Definition |
| Constant comparative method | A procedure used during grounded theory research whereby newly gathered data are continually compared with previously collected data in order to refine the development of theoretical categories. |
| Construct (noun) | A variable in a theory. Sometimes carries the connotation of something that cannot be observed directly, or which we suppose to exist but has not been measured yet. Similar in this sense to a latent variable. Intelligence is a construct that is used to explain competence. |
| Construct validity | refers to the degree to which a research instrument measures a theoretical concept (or construct) under investigation. |
| Constructionism | We understand the world through internal constructs. |
| Content analysis | A procedure for organising narrative, qualitative data into emerging themes and concepts. |
| Content validity | is similar to face validity except that the researcher deliberately targets individuals acknowledged to be experts in the topic area to give their opinions on the validity of the measure. |
| Contingency table | (same as crosstabulation). |
| Continuous variable | A variable that can take on an infinite range of values along a specific continuum (e.g. weight, height). |
| Control | Processes employed to hold the conditions under which an investigation is carried out uniform or constant. In a true experimental design, the control group is the group that does not receive the intervention or treatment under investigation. The scores on the dependent variable for the control and the experimental groups are used to evaluate the effect of the independent variable. In other experimental designs, this group may be referred to as the comparison group. |
| Control variable | The variable that is held constant in a three-variable table (same as test variable). |
| 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 |
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