1<!DOCTYPE html> 2<html lang="en-us"> 3 <head> 4 <meta name="generator" content="Hugo 0.92.2" /> 5 <meta charset="utf-8"> 6 <meta name="viewport" content="width=device-width, initial-scale=1"> 7 <title>Home | James Uanhoro</title> 8 <link rel="stylesheet" href="/css/style.css" /> 9 <link rel="stylesheet" href="/css/fonts.css" /> 10 11 </head> 12 13 <body> 14 <nav> 15 <ul class="menu"> 16 17 <li><a href="/">Home</a></li> 18 19 <li><a href="/papers/">First-author papers</a></li> 20 21 <li><a href="/post/">Blog posts</a></li> 22 23 <li><a href="/projects/">Programming projects</a></li> 24 25 <li><a href="/tags/">Tags</a></li> 26 27 <li><a href="/index.xml">Subscribe</a></li> 28 29 </ul> 30 <hr/> 31 </nav> 32 33 34 35 36<p><a href="https://github.com/stonegold546/new_website-public"><img src="/img/1108_QREM_Headshots_LA5-X3_new.png" style="max-width:30%;min-width:40px;float:right;" alt="Github repo" /></a></p> 37<h1 id="james-uanhoro">James Uanhoro</h1> 38<h2 id="bio">Bio</h2> 39<p>I am an assistant professor in the <a href="https://coe.unt.edu/research-measurement-and-statistics">Research Methodology, Measurement, and Statistics</a> program within the <a href="https://coe.unt.edu/educational-psychology">Department of Educational Psychology</a> at the University of North Texas. I have a background in Information Systems, and in my downtime, I enjoy using my computing skills to develop statistical tools for applied researchers.</p> 40<p>I am a member of and the UNT lead investigator for OMNI-ADRD (<a href="https://omni-adrd.org/">https://omni-adrd.org/</a>, NIH grant: 1U24AG092760-01), a network of scientists working to transform how cognitive change is measured and understood by building open, scalable tools that accelerate dementia prevention research and advance brain health for all.</p> 41<style> 42 * { 43 box-sizing: border-box; 44 } 45 .column-left { 46 float: left; 47 width: 50%; 48 padding-right: 15px; 49 } 50 .column-right { 51 float: left; 52 width: 50%; 53 padding-left: 15px; 54 } 55 .row:after { 56 content: ""; 57 display: table; 58 clear: both; 59 } 60 @media screen and (max-width: 600px) { 61 .column-left, .column-right { 62 width: 100%; 63 padding: 0px; 64 } 65 } 66</style> 67<div class="row"> 68<div class="column-left"> 69<h3>Research interests:</h3> 70<ul> 71<li>Applied Bayesian data analysis</li> 72<li>Multilevel, psychometric, and covariance structure models and their interconnections</li> 73<li>Communicating statistical findings & effect sizes</li> 74<li>Statistical software development</li> 75<li>Single-case research designs</li> 76</ul> 77</div> 78<div class="column-right"> 79<h3>Education:</h3> 80<ul> 81<li>PhD Educational Studies, Ohio State University (2021)</li> 82<li>MS Information Systems, National Tsing Hua University (2016)</li> 83<li>BS Information Systems, American University of Nigeria (2012)</li> 84</ul> 85</div> 86</div> 87<p>I am also a member of <a href="https://cwa-tseu.org/">Texas State Employees Union (Communication Workers of America, Local 6186)</a>, a union for everyone who works for the state of Texas, and the <a href="https://linktr.ee/untaaup">UNT Chapter of AAUP/AFT</a>, a union and professional organisation for academic staff.</p> 88<p>Email: <a href="mailto:[email protected]">[email protected]</a></p> 89<hr> 90<h2 id="teaching">Teaching</h2> 91<p>I usually teach regression (fall), structural equation modeling (spring), and simulation (some Falls). And I should teach an applied Bayesian course in the near future.</p> 92<hr> 93<h2 id="additional-links">Additional links</h2> 94<ul> 95<li><a href="/papers/">First-author papers – free PDF, code and data</a></li> 96<li><a href="/projects/">Programming projects</a></li> 97<li><a href="/workshops/">Old workshops as a grad student at OSU</a></li> 98</ul> 99<hr> 100<h2 id="blog">Blog</h2> 101 102 103<ul> 104 105 106 107 <li> 108 <span class="date">2024/11/08</span> 109 <a href="/post/2024/11/08/the-limitations-of-small-variance-priors-lie-in-their-implementation/">The limitations of small variance priors lie in their implementation</a> 110 </li> 111 112 <li> 113 <span class="date">2024/04/14</span> 114 <a href="/post/2024/04/14/hierarchical-ordinal-regression-for-analysis-of-single-subject-data-or-bayesian-estimation-of-overlap-and-other-effect-sizes/">Hierarchical ordinal regression for analysis of single subject data OR Bayesian estimation of overlap and other effect sizes</a> 115 </li> 116 117 <li> 118 <span class="date">
1182023/05/04</span> 119 <a href="/post/2023/05/04/aera-2023-presentation-modeling-misspecification-as-a-parameter-in-bayesian-sems/">AERA 2023 Presentation: Modeling misspecification as a parameter in Bayesian SEMs</a> 120 </li> 121 122 <li> 123 <span class="date">2023/04/02</span> 124 <a href="/post/2023/04/02/the-minorbsem-package-in-r/">The minorbsem package in R</a> 125 </li> 126 127 <li> 128 <span class="date">2022/12/14</span> 129 <a href="/post/2022/12/14/hierarchical-covariance-estimation-approach-to-meta-analytic-structural-equation-modeling/">Hierarchical Covariance Estimation Approach to Meta-Analytic Structural Equation Modeling</a> 130 </li> 131 132 <li> 133 <span class="date">2021/01/18</span> 134 <a href="/post/2021/01/18/traditional-sem-overly-focuses-on-lisrel-equations-to-the-detriment-of-dealing-with-measurement-error/">Traditional SEM overly focuses on LISREL equations to the detriment of dealing with measurement error</a> 135 </li> 136 137 <li> 138 <span class="date">2019/11/25</span> 139 <a href="/post/2019/11/25/problems-with-using-odds-ratios-as-effect-sizes-in-binary-logistic-regression-and-alternative-approaches/">Problems with using odds ratios as effect sizes in binary logistic regression and alternative approaches</a> 140 </li> 141 142 <li> 143 <span class="date">2019/09/26</span> 144 <a href="/post/2019/09/26/how-do-you-communicate-the-evidence-for-the-practical-significance-of-an-intervention-using-bayesian-methods/">How do you communicate the evidence for the practical significance of an intervention using Bayesian methods?</a> 145 </li> 146 147 <li> 148 <span class="date">2019/08/02</span> 149 <a href="/post/2019/08/02/when-data-are-not-so-informative-it-pays-to-choose-the-sum-score-over-the-factor-score/">When data are not so informative, it pays to choose the sum score over the factor score</a> 150 </li> 151 152 <li> 153 <span class="date">2018/11/28</span> 154 <a href="/post/2018/11/28/multidimensional-cfa-with-rstan/">Multidimensional CFA with RStan</a> 155 </li> 156 157 <li> 158 <span class="date">2018/10/20</span> 159 <a href="/post/2018/10/20/possibility-of-heteroskedasticity-is-a-good-reason-not-to-dichotomize-a-continuous-variable-for-use-as-outcome-in-logistic-regression./">Possibility of heteroskedasticity is a good reason not to dichotomize a continuous variable for use as outcome in logistic regression.</a> 160 </li> 161 162 <li> 163 <span class="date">2018/10/07</span> 164 <a href="/post/2018/10/07/should-you-perform-logistic-regression-on-a-dichotomized-continuous-variable-when-you-have-access-to-the-continuous-variable-im-not-sure./">Should you perform logistic regression on a dichotomized continuous variable when you have access to the continuous variable? I’m not sure.</a> 165 </li> 166 167 <li> 168 <span class="date">2018/10/06</span> 169 <a href="/post/2018/10/06/two-group-mean-and-variance-comparisons/">Two group mean and variance comparisons</a> 170 </li> 171 172 <li> 173 <span class="date">2018/05/07</span> 174 <a href="/post/2018/05/07/modeling-the-error-variance-to-account-for-heteroskedasticity/">Modeling the error variance to account for heteroskedasticity</a> 175 </li> 176 177 <li> 178 <span class="date">2018/05/07</span> 179 <a href="/post/2018/05/07/simulating-data-from-regression-models/">Simulating data from regression models</a> 180 </li> 181 182 <li> 183 <span class="date">2018/02/12</span> 184 <a href="/post/2018/02/12/using-binary-regression-software-to-model-ordinal-data-as-a-multivariate-glm/">Using binary regression software to model ordinal data as a multivariate GLM</a> 185 </li> 186 187 <li> 188 <span class="date">2018/01/02</span> 189 <a href="/post/2018/01/02/using-glmer-to-perform-rasch-analysis/">Using glmer() to perform Rasch analysis</a> 190 </li> 191 192 <li> 193 <span class="date">2017/11/16</span> 194 <a href="/post/2017/11/16/a-chi-square-test-of-close-fit-in-covariance-based-sem/">A Chi-Square test of close fit in covariance-based SEM</a> 195 </li> 196 197 <li> 198 <span class="date">2017/10/28</span> 199 <a href="/post/2017/10/28/misspecification-and-fit-indices-in-covariance-based-sem/">Misspecification and fit indices in covariance-based SEM</a> 200 </li> 201 202 <li> 203 <span class="date">
2032017/09/21</span> 204 <a href="/post/2017/09/21/littles-mcar-test-at-different-sample-sizes/">Little’s MCAR test at different sample sizes</a> 205 </li> 206 207 <li> 208 <span class="date">2017/09/21</span> 209 <a href="/post/2017/09/21/theil-sen-regression-in-r/">Theil-Sen regression in R</a> 210 </li> 211 212 <li> 213 <span class="date">2017/09/19</span> 214 <a href="/post/2017/09/19/linear-regression-with-violation-of-heteroskedasticity-with-small-samples/">Linear regression with violation of heteroskedasticity with small samples</a> 215 </li> 216 217 <li> 218 <span class="date">2017/08/11</span> 219 <a href="/post/2017/08/11/on-the-interpretation-of-regression-coefficients/">On the interpretation of regression coefficients</a> 220 </li> 221 222</ul> 223 224 <footer> 225
225<script defer src="//yihui.org/js/math-code.js"></script>
vendor: 1 bytes, line 225
225
226<script defer src="//mathjax.rstudio.com/latest/MathJax.js?config=TeX-MML-AM_CHTML"></script>
226 227
228<script defer src="//yihui.org/js/center-img.js"></script>
228 229 230 231 <hr/> 232 James Uanhoro | Powered by: <a href="https://www.netlify.com/">Netlify</a>, <a href="https://gohugo.io/">Hugo</a>, <a href="https://themes.gohugo.io/hugo-xmin/">Hugo XMin</a> 233 234 </footer> 235 </body> 236</html> 237
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.