The Coding Lab is a state-of-the-art analysis facility housed in the Frances McClelland Institute. We use software that creates observational data into graphical analysis using curved and linear models. The Coding lab allows one to code and analyze this observational data.
Software available for use in the Coding Lab:
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NVivo 8: Imports, sorts and analyzes audio, video, and digital photo files, and can display project information as a graphic, merge seperate projects, and allows you to share files and findings with colleagues and fellows using HTML web pages.
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MPlus 6: Statistical modeling program
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AMOS 18: Analysis of moment structures, implementing the structural equation modeling general approach to data analysis. Includes many well-known conventional techniques, including the general linear model and common factor analysis.
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PASW (formerly SPSS) 19: New nonparametric tests, Post-computed categories, Significance tests, Rule checking in Secondary SPC Charts
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HLM 6: Hierarchal linear and nonlinear modeling
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Lisrel 8.8: Structured latent curve models, factor analysis of ordinal variables, generalized linear models for multilevel data, observational residuals
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SAS 9.2: Includes more analytical and graphical capabilities, such as ODS Statistical Graphics and SAS/GRAPH support for ODS styles.
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Noldus: Event logging software for the collection, analysis, and presentation of observational data
To reserve a work station in the Coding Lab contact families@cals.arizona.edu.
