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As a statistics journal it publishes articles primarily focused on the application of statistics, statistical theory and methods in economic, social, physical, engineering, and health sciences. The journal also includes reviews of academic books which are important to the advancement of the field. [1]
The following journals are considered open access: Bayesian Analysis; Brazilian Journal of Probability and Statistics; Chilean Journal of Statistics; Electronic Journal of Statistics; Journal of Official Statistics; Journal of Modern Applied Statistical Methods; Journal of Statistical Software; Journal of Statistics Education
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]
The reflexivity process can be described as the researcher reflecting on and documenting how their values, positionings, choices and research practices influenced and shaped the study and the final analysis of the data. Reflexivity journals are somewhat similar to the use of analytic memos or memo writing in grounded theory, which can be useful ...
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 also discusses journals in the same field. [1]
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 journal's scope includes theoretical results as well as applications of new theoretical methods in the field. Some of the research areas covered include copula modeling, functional data analysis, graphical modeling, high-dimensional data analysis, image analysis, multivariate extreme-value theory, sparse modeling, and spatial statistics.
Quantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory. Usually a big sample of data is collected – this would require verification, validation and recording before the analysis can take place. Software packages such as SPSS and R are typically used for this purpose. Causal ...