<style type="text/css"> .Large { font-size: 200%; } .large { font-size: 125%; } .seven { color: #2B91E4; font-weight: bold; } .one { color: #E4412B; font-weight: bold; } .four { color: #17AB3B; font-weight: bold; } .six { color: #19CCE9; font-weight: bold; } .three { color: #75A32D; font-weight: bold; } </style> .pull-left[# `ctticc`: Visualizing Test Item Characteristics ### [Diego Figueiras](https://github.com/MontclairML) <br>& [John Kulas](https://github.com/jtkulas) ] <img src="ctticc.png" width="400" height="450" style="position:absolute; right:50px; bottom:50px;"> --- class: inverse, left, top # Description .pull-left[`ctticc` produces visual item characteristic curves from classic test statistics used in quiz and testing applications. + Simple inputs are: + *p*-values + corrected item-total correlations Test administrators receive *graphical* feedback regarding item performance: ] .pull-right[  ] --- # Application The graphical representations are most informative when item characteristics are plotted simulataneously: <div class="plotly html-widget html-fill-item-overflow-hidden html-fill-item" id="htmlwidget-46e23a102e4289c34188" style="width:720px;height:432px;"></div> <script type="application/json" 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(y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> --- # Implementation <img src="https://miro.medium.com/v2/resize:fit:1400/1*Fp4GIm568zHv17pgJTbxPQ.png" width="450" height="320" style="position:absolute; left:-10px; bottom:150px;"> .pull-right[.large[ These visualizations are pedagogical tools that can further enhance the *instructor experience* with learning management systems. Visual representations of item functioning provide information that all users (including statistics-avoidant) should feel comfortable consulting and acting on.] ] --- # Supplementary information .pull-right[[](ICC_project.pdf)] .pull-left[.Large[Technical information about the development of these visual aids is also available (click on image to right)] Our contact information: [Diego Figueiras](mailto:diego.figueiras@outlook.com) [John Kulas](mailto:jtkulas@ergreports.com) ]