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Description
Flashcards by Donna Myers, updated more than 1 year ago
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Created by Donna Myers
about 8 years ago
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| Question | Answer |
| Variable | Anything that can be measured and can differ across entities or across time. |
| Construct | The idea associated with a label given to a concept or variable. |
| Nominal Variable | A categorical variable with two or more categories without an intrinsic order. Examples: gender (male/female) and race (White/Black / Asian, etc.) |
| Ordinal Variable | A categorical variable with two or more categories that can be ranked into a meaningful order, but no equal distance between categories. Example: Rating (poor, good, very good, excellent). |
| Dichotomous Variable | A categorical variable with only two categories. Examples: Yes / No or Good / Bad |
| Interval Variable | A continuous variable measuring a construct along a continuum with equal distance between points, but without a true zero. Example: IQ test score |
| Ratio Variable | A continuous variable measuring a construct along a continuum with equal distance between points with a true zero. Example: Weight |
| Independent Variable | Variable of interest (predictor variable) that influences the dependent (outcome) variable. |
| Dependent Variable | Variable of interest (outcome variable) that is influenced by the independent (predictor) variable. |
| Covariate Variable | A variable that is not the focus of a study, but that is included in the study because it influences either the dependent or independent variable. |
| Population | Total set of individuals, groups, objects or events being studied. |
| Sample | Subset of people, objects, groups or events selected from a population. |
| Descriptive Statistics | Statistics used to describe characteristics of a sample or population. |
| Inferential Statistics | Statistics used to make predictions about a population based on the observations made from the sample. |
| Parametric Statistics | Group of statistical tests used to analyze data that make certain assumptions about data, e.g. normal distribution of scores. |
| Non-Parametric Statistics | Group of statistical tests used to analyze data that make fewer assumptions about data, e.g. non-normal distribution of scores. |
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