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Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.
gretl is an example of an open-source statistical package. ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free ...
EViews is a statistical package for Windows, used mainly for time-series oriented econometric analysis. It is developed by Quantitative Micro Software (QMS), now a part of IHS. Version 1.0 was released in March 1994, and replaced MicroTSP. [1] The TSP software and programming language had been originally developed by Robert Hall in 1965. The ...
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 .
After the first two years of studies, graduate students typically earn a Master of Arts in Psychology, Master of Science in Statistics or Applied Statistics, or both. For example, most students in the University of Minnesota's "Quantitative and Psychometric Methods" Ph.D. program are also Master of Science students in the School of Statistics. [14]
MAXQDA is designed for the use in qualitative, quantitative and mixed methods research. [2] The emphasis on going beyond qualitative research can be observed in the extensive attributes function (called variables in the programme itself) and the ability of the programme to deal relatively quickly with larger numbers of interviews [ which? ] .
[10] [14] The divide between quantitative and qualitative methods in the social sciences is one consequence of this criticism. [14] Which method is more appropriate often depends on the goal of the research. For example, quantitative methods usually excel for evaluating preconceived hypotheses that can be clearly formulated and measured.
Choosing a research question is an essential element of both quantitative and qualitative research. Investigation will require data collection and analysis, and the methodology for this will vary widely. Good research questions seek to improve knowledge on an important topic, and are usually narrow and specific. [1]