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However, it has been argued that measurement often plays a more important role in quantitative research. [12] For example, Kuhn argued that within quantitative research, the results that are shown can prove to be strange. This is because accepting a theory based on results of quantitative data could prove to be a natural phenomenon.
For example if an interview is used to investigate sixth grade students' attitudes toward smoking, the scores could be compared with a questionnaire of former sixth graders' attitudes toward smoking. Results of self-report studies have been confirmed by other methods.
A list of articles relating to quantitative research methods. This category is often contrasted with qualitative research . Wikimedia Commons has media related to Quantitative research .
Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. [1] Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal, ordinal, interval, and ratio.
Quantitative analysis of behavior is the application of mathematical models--conceptualized from the robust corpus of environment-behavior-consequence interactions in published behavioral science--to the experimental analysis of behavior. The aim is to describe and/or predict relations between varying levels of independent environmental ...
Quantitative structure–activity relationship models (QSAR models) are regression or classification models used in the chemical and biological sciences and engineering. Like other regression models, QSAR regression models relate a set of "predictor" variables (X) to the potency of the response variable (Y), while classification QSAR models ...
A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. [a] The variables may be two columns of a given data set of observations, often called a sample, or two components of a multivariate random variable with a known distribution.
Intelligence testing has long been an important branch of quantitative psychology. The nineteenth-century English statistician Francis Galton, a pioneer in psychometrics, was the first to create a standardized test of intelligence, and he was among the first to apply statistical methods to the study of human differences and their inheritance.
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