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        <dc:date>2017-09-29T11:04:13+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>alpha</title>
        <link>https://nd.psychstat.org/research/alpha</link>
        <description>Documentation for online alpha calculation

Go back to the interface

Interface

The online alpha has an interface like below



Options

alpha or omega

Once can choose to calculate Cronbach&#039;s alpha or McDonald&#039;s omega here.

Data File

The data file has to be in free format, separated by space. Each column represents an item. Variable names can be specified in the first line of the data file. An example file can be downloaded at</description>
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        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
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        <title>bayesian_methods</title>
        <link>https://nd.psychstat.org/research/bayesian_methods</link>
        <description>Bayesian in press

Bayes Offers a &#039;New&#039; Way to Make Sense of Numbers

Adding Art to the Rigor Of Statistical Science</description>
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        <dc:date>2025-01-21T02:07:47+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>bib</title>
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        <description>@{group@

@groupkey@

@{entry@
@author@ (@year@). @title@. @journal@ @pages@
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        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>bibfile</title>
        <link>https://nd.psychstat.org/research/bibfile</link>
        <description>@article{Yuan_2024,
   title={Scale-Invariance, Equivariance and Dependency of Structural Equation Models},
   volume={31},
   ISSN={1532-8007},
   url={http://dx.doi.org/10.1080/10705511.2024.2353168},
   DOI={10.1080/10705511.2024.2353168},
   number={6},
   journal={Structural Equation Modeling: A Multidisciplinary Journal},
   publisher={Informa UK Limited},
   author={Yuan, Ke-Hai and Ling, Ling and Zhang, Zhiyong},
   year={2024},
   month=jun,
   pages={1027â€“1042}</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>cite-bauw</title>
        <link>https://nd.psychstat.org/research/cite-bauw</link>
        <description>Article citing BAUW

	*  Zhang, Z., Hamagami, F., Wang, L., Grimm, K. J., &amp; Nesselroade, J. R. (2007). Bayesian analysis of longitudinal data using growth curve models. International Journal of Behavioral Development, 31(4), 374-383.
	*  Common polymorphisms in the folate pathway predict efficacy of combination regimens containing methotrexate and sulfasalazine in early rheumatoid arthritis. Heather M James, David Gillis, Pravin Hissaria, Susan Lester, Andrew A Somogyi, Leslie G Cleland, and Sus…</description>
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        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>csda2013</title>
        <link>https://nd.psychstat.org/research/csda2013</link>
        <description>Supplement materials for CSDA on robust growth mixture models

By Lu, Z. and Zhang, Z.</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>grm</title>
        <link>https://nd.psychstat.org/research/grm</link>
        <description>Mplus scripts for estimating the quadratic growth rate models</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2016-06-01T19:02:36+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>haiyan_liu</title>
        <link>https://nd.psychstat.org/research/haiyan_liu</link>
        <description>Haiyan Liu

225 Hagger Hall

Department of Psychology

University of Notre Dame

Notre Dame, IN 46556

Email:hliu6@nd.edu


Research Interests

	*  Bayesian methods
	*  Structure equation modeling
	*  Categorical data analysis 
	*  Nonlinear modeling</description>
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        <dc:date>2023-03-30T14:45:23+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>index</title>
        <link>https://nd.psychstat.org/research/index</link>
        <description>Lab for Big Data Methodology

For latest information, please visit our website at &lt;https://bigdatalab.nd.edu&gt;

Supplementary materials

&lt;http://nd.psychstat.org/research/supplementary/index&gt;

Undergraduate research opportunity

If you are interested in joining our lab and an undergraduate student at Notre Dame, send the following to  ZhiyongZhang (at) nd.edu:</description>
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    <item rdf:about="https://nd.psychstat.org/research/johnny_committees">
        <dc:format>text/html</dc:format>
        <dc:date>2018-04-17T16:30:16+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>johnny_committees</title>
        <link>https://nd.psychstat.org/research/johnny_committees</link>
        <description>Since 2018

National

	*  SMEP disertation award committee

University

	*  University Committee on Research and Sponsored Programs
	*  Department of Psychology computer committee

Dissertation

	*  Amber Shoaib (Feb, 2018), Dissertation defense, committee member</description>
    </item>
    <item rdf:about="https://nd.psychstat.org/research/johnny_presentation">
        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>johnny_presentation</title>
        <link>https://nd.psychstat.org/research/johnny_presentation</link>
        <description>Invited Lectures and Addresses

	*  Zhang, Z. (2014, September). The use of relaxed and Bayesian assumptions on error terms in dynamic models of change. Paper presented at 2014 SRCD Themed Meeting: Developmental Methodology, San Diego, CA. 
	*  Yuan, K.-H., Tong, X., &amp; Zhang, Z. (2012, July). Bias and efficiency for SEM with missing data and auxiliary variables: Robust method versus normal distribution based ML. Paper presented at the 2nd Institute of Mathematical Statistics Asia Pacific Rim Mee…</description>
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        <dc:date>2026-03-17T20:15:56+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>johnny_zhang</title>
        <link>https://nd.psychstat.org/research/johnny_zhang</link>
        <description>Zhiyong Johnny Zhang

PhD, University of Virginia

Professor of Quantitative Psychology, University of Notre Dame

Director, Lab for Big Data Methodology 

Faculty Fellow, Institute for Educational Initiatives 

Fellow, American Psychological Association

Editor, Journal of Behavioral Data Science


Editorial Board (Associate Editor), Neurocomputing

Editorial Board (Guest Editor), Psychological Methods

438 Corbett Family Hall

Department of Psychology

University of Notre Dame


Tel: 574-631-2…</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>lab</title>
        <link>https://nd.psychstat.org/research/lab</link>
        <description>Lab for Developmental and Health Research Methodology

Overview of our research

Our lab aims to develop and apply statistical methods in the areas of developmental and health research. 

Current Members

	*  Peggy Wang
	*  Johnny Zhang
	*  Xin (Cynthia) Tong
	*  Qian (Jackie) Zhang
	*  Zhe (Jesse) Wang

Undergraduate research opportunity</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>laura_lu</title>
        <link>https://nd.psychstat.org/research/laura_lu</link>
        <description>Laura Lu is now an Assistant Professor at the University of Georgia.</description>
    </item>
    <item rdf:about="https://nd.psychstat.org/research/leah_tzakis">
        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>leah_tzakis</title>
        <link>https://nd.psychstat.org/research/leah_tzakis</link>
        <description>Leah is a freshman here at the University at Notre Dame.</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>luzhanglubke2010</title>
        <link>https://nd.psychstat.org/research/luzhanglubke2010</link>
        <description>Supplementary materials for Lu, Zhang, &amp; Lubke (2011)

OpenBUGS codes for real data analysis

	*  MNAR analysis
##############################################
##    GMM with non-ignorable missingdata    ##   
##############################################
     
model {
      ########################
      ##         model        
      ########################
      for( i in 1:N )  {      
          # --------- Model the latent mixture, parameter: lambda.---------
          z[i] ~ dcat(lambda[i…</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>mbr2012</title>
        <link>https://nd.psychstat.org/research/mbr2012</link>
        <description>Distribution diagnostics for robust growth curve models

Citation

Tong, X., and Zhang, Z. (2012). Diagnostics of Robust Growth Curve Modeling using Student&#039;s t Distribution. Multivariate Behavioral Research,47(4), 493-518.

Software

Click the link below to use the online software:</description>
    </item>
    <item rdf:about="https://nd.psychstat.org/research/meghan_cain">
        <dc:format>text/html</dc:format>
        <dc:date>2017-02-22T01:21:34+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>meghan_cain</title>
        <link>https://nd.psychstat.org/research/meghan_cain</link>
        <description>Meghan Cain

Psychology B.A., Lewis and Clark College

Quantitative Psychology M.A., University of Notre Dame

220B Hagger Hall

Department of Psychology

University of Notre Dame

Notre Dame, IN 46556

Email: mcain3@nd.edu


Meghan is a fifth year in the Quantitative Psychology PhD program, currently completing her dissertation on Bayesian SEM fit indices PPP and DIC. Her previous research has tackled quantitative issues for substantive researchers, and she has been involved with many collabora…</description>
    </item>
    <item rdf:about="https://nd.psychstat.org/research/peggy_wang">
        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>peggy_wang</title>
        <link>https://nd.psychstat.org/research/peggy_wang</link>
        <description>Peggy Wang

Research interests

Lijuan Peggy Wang&#039;s research interests are in the areas of longitudinal data
analysis and mixed-effects modeling. She is also interested in psychological and educational measurement. Her current research project involves developing and applying models for multivariate nonnormal data such as longitudinal ceiling data and multivariate zero-inflated count data.</description>
    </item>
    <item rdf:about="https://nd.psychstat.org/research/sem2013a">
        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>sem2013a</title>
        <link>https://nd.psychstat.org/research/sem2013a</link>
        <description>Supplement files for Tong et al. (2014)

Link to Figures: 

To cite, use Tong, X., Zhang, Z., &amp; Yuan, K.-H. (2014). Evaluation of Test Statistics for Robust Structural Equation Modeling with Nonnormal Missing Data.</description>
    </item>
    <item rdf:about="https://nd.psychstat.org/research/test">
        <dc:format>text/html</dc:format>
        <dc:date>2025-01-21T01:57:04+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>test</title>
        <link>https://nd.psychstat.org/research/test</link>
        <description></description>
    </item>
    <item rdf:about="https://nd.psychstat.org/research/xin_cynthia_tong">
        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>xin_cynthia_tong</title>
        <link>https://nd.psychstat.org/research/xin_cynthia_tong</link>
        <description>Xin Cynthia Tong

Cynthia is now an assistant professor at the University of Virginia

Email: xtong@virginia.edu

Research Interests

	*  Bayesian methods: apply Bayesian methods to growth curve modeling, item response theory, and dynamic system analysis.</description>
    </item>
    <item rdf:about="https://nd.psychstat.org/research/xinyi_cindy_wang">
        <dc:format>text/html</dc:format>
        <dc:date>2017-09-05T20:02:54+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>xinyi_cindy_wang</title>
        <link>https://nd.psychstat.org/research/xinyi_cindy_wang</link>
        <description>Xinyi(Cindy) Wang

Computer Science, Class of 2017
University of Notre Dame

My main responsibility is to help develop and maintain the statistical website application.
As an undergraduate student at Notre Dame, I want to explore the broad possibilities with a degree in Computer Science. I love problem solving and coding, and I am also interested in painting, reading, and learning new things. I believe the real learning comes from applying.</description>
    </item>
    <item rdf:about="https://nd.psychstat.org/research/yujiao_mai">
        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yujiao_mai</title>
        <link>https://nd.psychstat.org/research/yujiao_mai</link>
        <description>Yujiao is a first year post-doc. See her bio at &lt;http://psychology.nd.edu/faculty/post-docs/yujiao-mai/&gt;</description>
    </item>
    <item rdf:about="https://nd.psychstat.org/research/zhangwang2013">
        <dc:format>text/html</dc:format>
        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>zhangwang2013</title>
        <link>https://nd.psychstat.org/research/zhangwang2013</link>
        <description>For some reason, the parameter estimates in Table 2 did not include complete information. The correct table is given below: (Note although there was slight difference in the values, the conclusions are the same).</description>
    </item>
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