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Quantitative psychology is a field of scientific study that focuses on the mathematical modeling, research design and methodology, and statistical analysis of psychological processes. It includes tests and other devices for measuring cognitive abilities .
In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical population, or to the equation that operationalizes how statistics or parameters lead to the effect size ...
Quantitative psychological research is psychological research that employs quantitative research methods. [ 1 ] Quantitative research falls under the category of empirical research .
A wide range of research methods are used in psychology. These methods vary by the sources from which information is obtained, how that information is sampled, and the types of instruments that are used in data collection. Methods also vary by whether they collect qualitative data, quantitative data or both.
Quantitative methods are an integral component of the five angles of analysis fostered by the data percolation methodology, [10] which also includes qualitative methods, reviews of the literature (including scholarly), interviews with experts and computer simulation, and which forms an extension of data triangulation. Quantitative methods have ...
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 ...
Cross-sectional research is a research method often used in developmental psychology, but also utilized in many other areas including social science and education. This type of study utilizes different groups of people who differ in the variable of interest, but share other characteristics such as socioeconomic status, educational background ...
Another strength is that the data are quantitative, which are easy to analyse statistically. However, there is a tendency with Likert scales for people to respond towards the middle of the scale, perhaps to make them look less extreme.