Data Analytics Tools



MetatoMulti is an R Shiny app for conducting a meta-analysis as a multilevel, variance known (Vknown) model to account for non independence in primary studies’ effect sizes.

Reference: Gooty, J., Banks, G. C., Loignon, A., Tonidandel, S., and Williams, C. E. (in press). Meta-analyses as a multi-level model. Organizational Research Methods, 1-23. doi: 10.1177/1094428119857471

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RWA-web is an R Shiny app for conducting relative importance analysis in regression via relative weight analysis. This app can take either raw data or a correlation matrix as input. Bootstrapped confidence intervals and tests of significance are also provided in addition to the relative importance estimates.

Reference: Tonidandel, S. & LeBreton, J. M. (2014). RWA-Web -- A free, comprehensive, web-based, and user-friendly tool for relative weight analysis. Journal of Business and Psychology. doi: 10.1007/s10869-014-9351-z

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OASIS is a user-friendly app built in R Shiny that assists in identifying an optimal shortened version of an existing measure. OASIS uses a psychometrically defensible optimization strategy that simultaneously considers multiple important criteria such as internal consistency reliability, part-total correlations, general factor loadings, convergent and discriminant validity, and content coverage of the items.

Reference: Journal of Applied Psychology. Advance online publication.

User GuideExample Data Set: Conscientiousness

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The HypothesisReader R package supports the analytic methods as described in. The main action of this package is to extract any and all hypothesis and/or proposition statements found in the provided documents. Once these statements are extracted, the following key features are generated:

  • Entities: Extract both the cause and the effect entities within the statement (labeled Variable 1/2);

  • Direction: Classify the direction of the statement (positive, negative, non-linear);

  • Causality: Classify if the statement is a causal relationship (1: Causal; 0: Associative but not Causal).

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CausTator (Causality Annotator) 1.0

CausTator (Causality Annotator) 1.0 is free annotation software for users who have no programming background. The annotated documents can be used directly for most Natural Language Processing (NLP) tasks. CausTator 1.0 works on any IE browser at a local computer environment, which protects the privacy of the annotated documents. It automatically detects sentences from textual documents based on a user-defined list of trigger words and stops words, then allows users to tag phrases within these sentences such as causes and outcomes, and finally produces the annotated document for downloads.

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Expertise Management, Integration, and Exchange (EMIE)

Expertise Management, Integration, and Exchange (EMIE) UI research designs and develops coding-free user experiences for accessing actionable insights for enterprise management. A special focus is on mapping, curating, and visualizing all the causal pathways to organizational performance outcomes.

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