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Methods can be categorized by the kind of data they produce: qualitative or quantitative—and both these are used for pure or applied research. Psychology tends to be eclectic, applying knowledge from other fields. Some of its methods are used within other areas of research, especially in the social and behavioural sciences.
Psychological statistics is application of formulas, theorems, numbers and laws to psychology. Statistical methods for psychology include development and application statistical theory and methods for modeling psychological data. These methods include psychometrics, factor analysis, experimental designs, and Bayesian statistics. The article ...
Grounded theory can be described as a research approach for the collection and analysis of qualitative data for the purpose of generating explanatory theory, in order to understand various social and psychological phenomena. Its focus is to develop a theory from continuous comparative analysis of data collected by theoretical sampling. [4]
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.
17) identify some commonly occurring features of qualitative research in Psychology: [3] A tendency to use relatively unstructured data (…); An approach to theory that involves generating theories that are localised and context specific, rather than testing large-scale theories that seek to explain psychological process in all people (…);
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
The reverse correlation technique is a data driven study method used primarily in psychological and neurophysiological research. [1] This method earned its name from its origins in neurophysiology, where cross-correlations between white noise stimuli and sparsely occurring neuronal spikes could be computed quicker when only computing it for segments preceding the spikes.
Thematic analysis provides a flexible method of data analysis and allows for researchers with various methodological backgrounds to engage in this type of analysis. [1] For positivists, 'reliability' is a concern because of the numerous potential interpretations of data possible and the potential for researcher subjectivity to 'bias' or distort ...