Validity, Quantitative
Bibliographic Data
| ID | 7078654 |
|---|---|
| Authors | Karen F Lahm (corresponding author), Karen Lahm |
| Year | 2017 |
| Pages | 1-2 |
| Publication date | 2017-09-14 |
| Open Access | Yes |
| Type | OTHER |
| Venue | The Blackwell Encyclopedia of Sociology (JOURNAL) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781405165518.wbeosv002 |
| OpenAlex | W4211034020 |
| ISBN | 9781405165518 |
| Language | EN |
| References cited | 4 |
The term “validity” can be defined and explained in a plethora of ways. In quantitative research, validity is commonly discussed, for example, when a researcher is developing measures of variables or concepts to put on a survey or use in an experiment. Specifically, validity is synonymous with accuracy in that a valid measure is one that actually or in reality measures the concept or variable that it is supposed to be measuring. For example, say that a researcher needs to develop a measure for the variable IQ, and decides that they are going to ask the individual to get on a scale and to weigh themselves in pounds. Such a measure of IQ (body weight in pounds) would be an invalid measure of the individual's intelligence because body weight tells us nothing about their IQ in reality. A more valid measure of an individual's intelligence would be to give them an IQ test and to compute their IQ from the answers gathered on the test
Methodology and Impact of Social Science Research · Psychological Testing and Assessment · Psychology · Psychometric Methodologies and Testing
| Highly cited | No |
|---|