This project looks at religious attendance data of NLSY-97 in the Multilevel Modeling framework. Completed as a class project for MLM class in Fall 2012 Kris Preacher course at Vanderbilt.
SAS R Scheme Stata
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LmerExample
NLSY97_Religion_24102012
dataprep
images/predicted.trajectories
variables
.gitignore
1.ISE-NLSY97-Religion.R
2.the list of models.R
3.plotting lmer results in ggplot2.R
ISE-ML-NLSY97-Religion(andrey_koval_nov26_2012).pptx
ISEC-ML-NLSY97-Religion(with-matrix-specification-Apr17-2014).pptx
Multilevel-models-of-NLSY-97-religion-data.Rproj
Multilevel-models-of-NLSY-97-religion-data.Rproj - Shortcut.lnk
README.md
Thumbs.db
attend_long_nomiss_modeling.csv
desktop.ini
three_model_mockup.rar
three_model_mockup.zip
~$ISEC-ML-NLSY97-Religion(with-matrix-specification-Apr17-2014).pptx

README.md

National Longitudinal Study of Youth 1997

Worship Attendance Data

======================================================== databank = NLSY97_Religion_10242012 (source,keyword,date of retrieval)

Wide structure of NLSY97 data

(variables/Figure_1_Wide.png)

Long structure of NLSY97 data

(variables/Figure_2_Long.png)

Documenting the import of data from NLSY Web-Investigator

Databanks

databanks have a form of SOURCE_IDENTIFIER_DATE in this case NLSY-97_Religion_24102012 This tagset was saved from the NLSY Web-Investigator having variables ordered according to the QName and Year

The folder "databank"

in "NLYS97_Religiosity_24102012" repository contains 1.zipfile downloaded from the NLSY Web-Investigator 2.folder containing the unziped download. The files in the folder are standard options provided by the NLSY investigator download menu. 3.Sas code calling in the data from the .dat file. 4.An Excel template that helps recode the names of the variables.

Opinions

Theis collection of articles, blogs, and unofficial documentation should help provide context for what we're trying to do with our workflow. https://github.com/OuhscCcanMiechvEvaluation/MReporting/blob/master/DocumentationGlobal/ResourcesOpinions.md