Merge pull request #14 from kylelang/updateCourseInfo

Forgot to render the GitBook after the latest updates

docs/a2_worksheet.html

@@ -459,7 +459,6 @@ <h2>Assignment 2: Confirmatory Factor Analysis<a href="a2_worksheet.html#a2_work
 <ul>
 <li><a href="data/a2_template.Rmd">R Markdown</a></li>
 <li><a href="data/a2_template.qmd">Quarto</a></li>
-<li><a href="data/a2_template.docx">MS Word</a></li>
 </ul></li>
 </ul>
 <!------------------------------------------------------------------------------

docs/data/a2_template.Rmd

@@ -1,75 +1,96 @@
 ---
 title: "Group 42"
 author: ["Zaphod Beeblebrox", "Tricia McMillan", "Marvin T.P. Andy"]
-date: "1970-01-01"
+
+documentclass: article
+papersize: a4
+geometry: margin = 20mm
+fontfamily: sans
 output:
   pdf_document:
     number_sections: true
 ---
 
-```{r setup, include=FALSE}
+```{r setup, include = FALSE}
 knitr::opts_chunk$set(echo = TRUE)
 library(lavaan)
 library(knitr)
 ```
 
-# Theory
+\hrule
+
+\vspace{6pt}
 
-## Which dataset are you using?
+For Assignment 2, you will conduct a CFA and report the results via this
+worksheet.
 
-## Describe your hypothesized measurement model.
+- Provide the requested information for each of the following items.
+- Only include the necessary information; waffling will hurt your grade.
+- Replace the placeholder values above with your Assignment 2 Group's details
+  and the appropriate date.
+- Submit the completed worksheet as a PDF document.
 
-## Provide a path diagram of your theoretical measurement model.
+*NOTE:* The relative weights for each item are given in brackets.
 
 \vspace{12pt}
 
-# Estimation
+\hrule
+
+# Which dataset are you using? [1]
+
+# Describe your hypothesized measurement model. [2]
 
-## Provide the lavaan syntax for your model.
+- *What latent factors are you estimating?*
+- *Which items will you use to define each latent factor?*
+- *Why is your hypothesized factor structure justified?*
+
+# Provide a path diagram of your theoretical measurement model. [2]
+
+# Provide the lavaan syntax for your model. [2]
 
 ```{r}
 
 ```
 
-## Use the `lavaan::cfa()` function to estimate your model.
+# Use the `lavaan::cfa()` function to estimate your model. [2]
 
 ```{r}
 
 ```
 
-\vspace{12pt}
-
-# Results
+# Report the relevant parameter estimates from your fitted model. [3]
 
-## Report the relevant parameter estimates from your fitted model.
+- *Don't include the entire model summary.*
+- *The `lavaan::lavInspect()` or `lavaan::parameterEstimates()` functions could
+  be useful here.*
 
 ```{r, echo = FALSE}
 
 ```
 
-## Report the $R^2$ estimates from your fitted model.
+# Report the $R^2$ estimates from your fitted model. [2]
 
 ```{r, echo = FALSE}
 
 ```
 
-## Report the model fit indices for your estimated model.
+# Report suitable model fit indices for your estimated model. [3]
+
+- *Don't include every fit index lavaan provides.*
 
 ```{r, echo = FALSE}
 
 ```
 
-\vspace{12pt}
-
-# Interpretation
-
-## Do your results support the validity of your hypothesized model?
+# Do your results support the validity of your hypothesized model? [4]
 
 - *Explain why or why not.*
 
-## Do you think the model could be improved?
+# Do you think the model could be improved? [2]
 
 - *If so, explain how you would modify the model.*
 - *If not, explain why no improvement is possible.*
 
----
+\vspace{12pt}
+
+\hrule

docs/data/a2_template.qmd

@@ -1,75 +1,97 @@
 ---
 title: "Group 42"
 author: ["Zaphod Beeblebrox", "Tricia McMillan", "Marvin T.P. Andy"]
-date: "1970-01-01"
+
+documentclass: article
+pdf-engine: pdflatex
+papersize: a4
+geometry: margin = 20mm
+fontfamily: sans
 format:
   pdf:
     number-sections: true
 ---
 
-```{r setup, include=FALSE}
+```{r setup, include = FALSE}
 knitr::opts_chunk$set(echo = TRUE)
 library(lavaan)
 library(knitr)
 ```
 
-# Theory
+\hrule
+
+\vspace{6pt}
 
-## Which dataset are you using?
+For Assignment 2, you will conduct a CFA and report the results via this
+worksheet.
 
-## Describe your hypothesized measurement model.
+- Provide the requested information for each of the following items.
+- Only include the necessary information; waffling will hurt your grade.
+- Replace the placeholder values above with your Assignment 2 Group's details
+  and the appropriate date.
+- Submit the completed worksheet as a PDF document.
 
-## Provide a path diagram of your theoretical measurement model.
+*NOTE:* The relative weights for each item are given in brackets.
 
 \vspace{12pt}
 
-# Estimation
+\hrule
+
+# Which dataset are you using? [1]
+
+# Describe your hypothesized measurement model. [2]
 
-## Provide the lavaan syntax for your model.
+- *What latent factors are you estimating?*
+- *Which items will you use to define each latent factor?*
+- *Why is your hypothesized factor structure justified?*
+
+# Provide a path diagram of your theoretical measurement model. [2]
+
+# Provide the lavaan syntax for your model. [2]
 
 ```{r}
 
 ```
 
-## Use the `lavaan::cfa()` function to estimate your model.
+# Use the `lavaan::cfa()` function to estimate your model. [2]
 
 ```{r}
 
 ```
 
-\vspace{12pt}
-
-# Results
+# Report the relevant parameter estimates from your fitted model. [3]
 
-## Report the relevant parameter estimates from your fitted model.
+- *Don't include the entire model summary.*
+- *The `lavaan::lavInspect()` or `lavaan::parameterEstimates()` functions could
+  be useful here.*
 
 ```{r, echo = FALSE}
 
 ```
 
-## Report the $R^2$ estimates from your fitted model.
+# Report the $R^2$ estimates from your fitted model. [2]
 
 ```{r, echo = FALSE}
 
 ```
 
-## Report the model fit indices for your estimated model.
+# Report suitable model fit indices for your estimated model. [3]
+
+- *Don't include every fit index lavaan provides.*
 
 ```{r, echo = FALSE}
 
 ```
 
-\vspace{12pt}
-
-# Interpretation
-
-## Do your results support the validity of your hypothesized model?
+# Do your results support the validity of your hypothesized model? [4]
 
 - *Explain why or why not.*
 
-## Do you think the model could be improved?
+# Do you think the model could be improved? [2]
 
 - *If so, explain how you would modify the model.*
 - *If not, explain why no improvement is possible.*
 
----
+\vspace{12pt}
+
+\hrule

docs/elaboration-tips.html

@@ -642,13 +642,12 @@ <h3>Reporting Standards<a href="elaboration-tips.html#reporting_standards" class
 <ul>
 <li>Scientific laws</li>
 <li>Physical constants</li>
-<li>Logical (in the technical sense) implications of some irrefutable
-antecedent</li>
+<li>Logical (in the technical sense) implications of irrefutable antecedents</li>
 <li>Your own opinions (assuming you’re not trying to pass them off as facts)</li>
 </ul></li>
 </ul>
-<p>The next three sections cover some specific considerations for reporting common
-classes of statistical results.</p>
+<p>The next three subsections cover some specific considerations for reporting
+common classes of statistical results.</p>
 <div id="significance-tests" class="section level4 unnumbered hasAnchor">
 <h4>Significance Tests<a href="elaboration-tips.html#significance-tests" class="anchor-section" aria-label="Anchor link to header"></a></h4>
 <p>Any claim of a significant effect must be supported by relevant statistical

docs/in-class-exercises-3.html

@@ -631,12 +631,12 @@ <h3><span class="header-section-number">4.4.4</span> </h3>
 <span id="cb158-5"><a href="in-class-exercises-3.html#cb158-5" tabindex="-1"></a>pa_trust <span class="ot">&lt;-</span> <span class="fu">select</span>(ess, trstlgl<span class="sc">:</span>trstplt) <span class="sc">%&gt;%</span></span>
 <span id="cb158-6"><a href="in-class-exercises-3.html#cb158-6" tabindex="-1"></a>     <span class="fu">fa.parallel</span>(<span class="at">fa =</span> <span class="st">&quot;fa&quot;</span>) </span></code></pre></div>
 <p><img src="willy_wallaby_from_wasatch_files/figure-html/unnamed-chunk-279-1.png" width="672" /></p>
-<pre><code>## Parallel analysis suggests that the number of factors =  6  and the number of components =  NA</code></pre>
+<pre><code>## Parallel analysis suggests that the number of factors =  5  and the number of components =  NA</code></pre>
 <details>
 <summary>
 Click for explanation
 </summary>
-<p>The results of the parallel analysis suggest 6 factors.</p>
+<p>The results of the parallel analysis suggest 5 factors.</p>
 <hr />
 <p>If you’ve been paying close attention, you may have noticed that we need to
 compute the eigenvalues from the original data to run parallel analysis.
@@ -672,7 +672,7 @@ <h3><span class="header-section-number">4.4.4</span> </h3>
 have narrowed the range.</p>
 <ul>
 <li>Based on the scree plot and parallel analysis, we should consider solutions
-for 3 to 6 factors.</li>
+for 3 to 5 factors.</li>
 <li>We need to examine the factor loadings to see which solution makes the most
 substantive sense.</li>
 </ul>