Glossary | |
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| Term | Definition |
| Mapping | creating and displaying data on a map of a geographical or political area that uses different patterns or colors to indicate the distribution categories of a variable. |
| Mean | A descriptive statistic used as a measure of central tendency. All scores in a set of scores are added together and divided by the number of subjects. a term that refers to the central tendency, specifically the statistical average of a set of observations (sum of all cases/number of cases). For example if you had the values 1,2,3,4,5 the mean would be 3. The mean is symbolized by roman symbol X for a sample and by the Greek symbol µ for the population. |
| Measure of association | Measure of the strength of the relationship between two variables. |
| Measurement | The generation of data. A process of assigning numbers (or codes) to things such that certain specifiable relationships among the things are reflected in certain relationships among the numbers. For example, when we measure the mass of objects, we assign a number to each object, known as its weight. If the number assigned to object A is 10 and to object B is 20, we can say that object B has twice as much mass as object A. This preservation of ratios works for the way we measure mass, but it doesn't work for the way we (usually) measure temperature. Exactly which kinds of relationships between the numbers is actually reflective of relationships among the objects is what defines the level of the measurement. |
| Measurement scale | Measurement of a phenomenon or property means assigning a number or category to represent it. The methods used to display and/or analyse numerical (quantitative) data will depend on the type of scale used to measure the variable(s). There are four scales of measurement: nominal, ordinal, interval or ratio. The data associated with each measurement scale are referred to as nominal data, ordinal data, interval data and ratio data respectively. |
| Median | 1. a descriptive statistic used to measure central tendency. The median is the score/value that is exactly in the middle of a distribution (i.e. the value above which and below which 50% of the scores lie). 2. a term that refers to the central tendency or typical score of a bivariate distribution, specifically the median is the numerical value of middle case in a distribution. For example if you had the values 6, 10, 12, 12, 13, 14, 16 the median would be 12. |
| Meta-analysis | A statistical technique for combining and integrating the data derived from a number of experimental studies undertaken on a specific topic. |
| Metaphysical | Ideas that cannot be proven. Knowledge beyond the bounds of experience. |
| Method slurring | This term is used to describe the tendency of some researchers to combine qualitative research approaches without adequately acknowledging the epistemological origins and assumptions that underpin the methodologies they are blending. |
| Methodological Individualism | 1. Break down phenomena into their smallest parts. 2. Use these to deduce development of more complex phenomena. |
| Methodological Pluralism | No approach is better than another. Multiple views enrich. |
| Mimetic | Exact duplicate. Positivist view that everything can be precisely defined in 'mimetic' statements. |
| Missing data | Cases for which we do not know the proper category into which to place the case. |
| Mode | 1. A descriptive statistic that is a measure of central tendency; it is the score/value that occurs most frequently in a distribution of scores. 2. a term that refers to the central tendency or typical score of a bivariate distribution, specifically the most frequently occurring classification of a variable. For example if you had the values 6, 10, 12, 12, 13, 14, 16 the mode would be 12. |
| Moderator Variable | A moderator variable is one that modifies the relationship between two other variables. If variable X modifies the relationship between variables Y and Z, then there is an interaction between X and Y. In a regression, the interaction between a pair a variables is tested by including the product of the two variables as an additional independent variable. |
| Glossary V2.0 | |
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Disciplines discipline knowledge: (1) making claims liable for adjudication, (2) producing expertise, and (3) defining truth. (Robert Frodeman and Carl Mitcham) |