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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 ...
SOCR – online tools for teaching statistics and probability theory; Speakeasy (computational environment) – numerical computational environment and programming language with many statistical and econometric analysis features; SPSS Modeler – comprehensive data mining and text analytics workbench; SPSS Statistics – comprehensive ...
Psych is an R package providing routines for personality, psychometrics, and experimental psychology. Its functions support: Scale construction using factor analysis, cluster analysis, and reliability analysis; Basic descriptive statistics; Item response theory via factor analysis of tetrachoric and polychoric correlations
Qualitative psychological research findings are not arrived at by statistical or other quantitative procedures. Quantitative psychological research findings result from mathematical modeling and statistical estimation or statistical inference. The two types of research differ in the methods employed, rather than the topics they focus on.
Psychometrics is a field of study within psychology concerned with the theory and technique of measurement.Psychometrics generally covers specialized fields within psychology and education devoted to testing, measurement, assessment, and related activities. [1]
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 .
Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1] The choice of the test depends on many properties of the research question. The vast majority of studies can be addressed by 30 of the 100 or so statistical tests in use. [3] [4] [5]
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in six observed variables mainly reflect the variations in two unobserved (underlying) variables.