Quantitative Analysis
Bivariate Analysis, Univariate Analysis,
Multivariate Analysis
A dominant scientific approach to behavior analysis, quantitative analysis of
behavior is the quantitative form of the experimental analysis of behavior. Quantitative
Analysis of Behavior addresses Behavioral economics and Behavioral momentum. Quantitative
analysis of behavior represents behavioral research using quantitative models of behavior.
The Society for Quantitative Analyses of Behavior (SQAB) was founded in 1978 by M.
L. Commons and J. A. Nevin to present symposia and publish material which bring a
quantitative analysis to bear on the understanding of behavior. A brief history is
available. This International Society holds its annual meeting in conjunction with the
Association for Behavior Analysis (ABA). Talks at SQAB focus on the development and use of
mathematical formulations to: characterize one or more dimensions of an obtained data set,
derive predictions to be compared with data, and generate novel data analyses. -
sqab.psychology.org
The American Society for Quantitative Analysis
The mission of the American Society for Quantitative Analysis ASQA website is to provide
support, resources and information for Quantitative Analysts in a variety of fields.-
asqa.org.
Sociology 593: Quantitative Analysis Winter 2008. Sociology 593 is for first-year
sociology graduate students. The main goal is to learn how to statistically analyze
quantitative data using SPSS.
QUANTITATIVE ANALYSIS OF SOCIAL DATA - Dartmouth College
This course introduces students to the quantitative tools of data analysis in the social
sciences. The course covers the conceptual and applied aspects of the research process,
secondary data and its limitations, as well as the basic statistics of quantitative
analysis. Topics include deriving hypotheses from theories and conceptual models,
operationalizing concepts, experimental and quasi-experimental designs, sampling, data
management, and statistical analysis. The emphasis of the course is on the application of
quantitative research methods to sociological issues. The course does not require a
background in statistical analysis nor more mathematical background than high school
algebra. The primary goal of the course is to enable students to be critical users of
quantitative analytical methods. Students will gain both a familiarity with the strengths
and weaknesses of these methods and become reasonably proficient with using a statistical
package to analyze and derive meaningful conclusions about social phenomena.
Rational choice theory and quantitative analysis. A comment on Goldthorpe's
sociological alliance. C Edling, Department of Sociology, Stockholm University, Stockholm,
Sweden
European Sociological Review 16:1-8 (2000)
There is a growing interest in empirical applications of rational choice theory in
contemporary European Sociology. One major proponent for an explicit link between rational
choice theory and large scale data analysis is John Goldthorpe. This is a critical comment
on Goldthorpe's (1996a) programmatic article in European Sociological Review, 'The
Quantitative Analysis of Large-Scale Data-Sets and Rational Action Theory: For a
Sociological Alliance'. It is argued that the link is treated in an unproblematic and
oversimplified way in that article. His claim that quantitative data analysis need
rational choice theory is an overstatement, rather, it is argued, rational choice theory
might sometimes be used in explanations of statistical regularities. The claim that
rational choice theory needs quantitative data is rejected for being based on a dubious
understanding of rational choice theory.
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