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In statistics and research, internal consistency is typically a measure based on the correlations between different items on the same test (or the same subscale on a larger test).
SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics.
The General Social-Survey has three main purposes: Gather data to monitor and explain trends, changes, and constants in attitudes, behaviors, and attributes as well as examine the structure, development, and functioning of society in general as well as the role of various sub-groups
IBM SPSS Modeler is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.
SPSS: A dialog box for Propensity Score Matching is available from the IBM SPSS Statistics menu (Data/Propensity Score Matching), and allows the user to set the match tolerance, randomize case order when drawing samples, prioritize exact matches, sample with or without replacement, set a random seed, and maximize performance by increasing ...
SPSS: Yes Yes SYSTAT: Yes TSP: Yes Yes Yes Yes Yes No WINKS: Yes No No No No Winpepi: WPS Analytics: Yes Yes Product ARIMA GARCH Unit root test Cointegration test VAR
Thus the mean () over all data of the entire dataset is a measure of how appropriately the data have been clustered. If there are too many or too few clusters, as may occur when a poor choice of k {\displaystyle k} is used in the clustering algorithm (e.g., k-means ), some of the clusters will typically display much narrower silhouettes than ...
Process: Implementation of Hayes' popular SPSS PROCESS module for JASP; Prophet: A simple model for time series prediction. Quality Control: Investigate if a manufactured product adheres to a defined set of quality criteria. Reliability: Quantify the reliability of test scores. Robust T-Tests: Robustly evaluate the difference between two means.