-- DONE -- add links to .pdf files for slides to .qmd:

402-week-19-LME-3.pdf
402-week-19-LME-3_1pp.pdf
402-week-19-LME-3_6pp.pdf
-- DONE -- copy files to:
/Users/robdavies/OneDrive - Lancaster University/FromBox/teaching-PSYC401-402/grad-psych-stats/files
-- DONE -- add advice on downloading slides

docs/03-mixed.html

@@ -441,7 +441,17 @@ <h2 data-number="5.4" class="anchored" data-anchor-id="sec-dev-mixed-guide"><spa
 <li><a href="https://dtu-panopto.lancs.ac.uk/Panopto/Pages/Viewer.aspx?id=01dccf63-8b1e-406c-8694-ace401229f10">Part 2</a> – about 13 minutes</li>
 <li><a href="https://dtu-panopto.lancs.ac.uk/Panopto/Pages/Viewer.aspx?id=ddde4efb-2975-4347-b255-ace401328b39">Part 3</a> – about 24 minutes</li>
 </ul>
-<p>1.2. I suggest you watch the recordings then read the rest of this chapter. The lectures provide a summary of the main points.</p>
+<p>1.2. I suggest you watch the recordings then read the rest of this chapter.</p>
+<ul>
+<li>The lectures provide a summary of the main points.</li>
+</ul>
+<p>1.3. You can download the lecture slides in three different versions:</p>
+<ul>
+<li><a href="files/402-week-19-LME-3.pdf">402-week-19-LME-3.pdf</a>: high resolution .pdf, exactly as delivered [1.3 MB];</li>
+<li><a href="files/402-week-19-LME-3_1pp.pdf">402-week-19-LME-3_1pp.pdf</a>: printable version, one-slide-per-page [1.2 MB];</li>
+<li><a href="files/402-week-19-LME-3_6pp.pdf">402-week-19-LME-3_6pp.pdf</a>: printable version, six-slides-per-page [1.3 MB].</li>
+</ul>
+<p>The high resolution version is the version delivered for the lecture recordings. To make the slides easier to download, I produced lower resolution versions: 1pp and 6pp. These should be easier to download and print out if that is what you want to do.</p>
 <p><strong>2. Chapter: 03-mixed</strong></p>
 <p>2.1. I have written this chapter to discuss the main ideas and set out the practical steps you can follow to start to develop the skills required to analyse multilevel structured data with crossed random effects.</p>
 <p>2.2. The practical elements include data tidying, visualization and analysis steps.</p>

docs/search.json

@@ -585,7 +585,7 @@
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     "title": "5  Developing linear mixed-effects models",
     "section": "5.4 Study guide",
-    "text": "5.4 Study guide\nI have provided a collection of materials you can use. Here, I explain what they are and how I suggest you use them.\n1. Video recordings of lectures\n1.1. I have recorded a lecture in three parts. The lectures should be accessible by anyone who has the link.\n\nPart 1 – about 13 minutes\nPart 2 – about 13 minutes\nPart 3 – about 24 minutes\n\n1.2. I suggest you watch the recordings then read the rest of this chapter. The lectures provide a summary of the main points.\n2. Chapter: 03-mixed\n2.1. I have written this chapter to discuss the main ideas and set out the practical steps you can follow to start to develop the skills required to analyse multilevel structured data with crossed random effects.\n2.2. The practical elements include data tidying, visualization and analysis steps.\n2.3. You can read the chapter, run the code, and do the exercises.\n\nRead in the example ML word recognition study dataset.\nEdit example code to create alternate visualizations of variable distributions and of the relationships between critical variables.\nExperiment with the .R code used to work with the example data.\nRun linear mixed-effects models of demonstration data.\nRun linear mixed-effects models of alternate data sets.\nReview the recommended readings (Section 5.16).\n\n3. Practical workbook materials\n3.1 In the following sections, I describe the practical steps, and associated resources, you can use for your learning."
+    "text": "5.4 Study guide\nI have provided a collection of materials you can use. Here, I explain what they are and how I suggest you use them.\n1. Video recordings of lectures\n1.1. I have recorded a lecture in three parts. The lectures should be accessible by anyone who has the link.\n\nPart 1 – about 13 minutes\nPart 2 – about 13 minutes\nPart 3 – about 24 minutes\n\n1.2. I suggest you watch the recordings then read the rest of this chapter.\n\nThe lectures provide a summary of the main points.\n\n1.3. You can download the lecture slides in three different versions:\n\n402-week-19-LME-3.pdf: high resolution .pdf, exactly as delivered [1.3 MB];\n402-week-19-LME-3_1pp.pdf: printable version, one-slide-per-page [1.2 MB];\n402-week-19-LME-3_6pp.pdf: printable version, six-slides-per-page [1.3 MB].\n\nThe high resolution version is the version delivered for the lecture recordings. To make the slides easier to download, I produced lower resolution versions: 1pp and 6pp. These should be easier to download and print out if that is what you want to do.\n2. Chapter: 03-mixed\n2.1. I have written this chapter to discuss the main ideas and set out the practical steps you can follow to start to develop the skills required to analyse multilevel structured data with crossed random effects.\n2.2. The practical elements include data tidying, visualization and analysis steps.\n2.3. You can read the chapter, run the code, and do the exercises.\n\nRead in the example ML word recognition study dataset.\nEdit example code to create alternate visualizations of variable distributions and of the relationships between critical variables.\nExperiment with the .R code used to work with the example data.\nRun linear mixed-effects models of demonstration data.\nRun linear mixed-effects models of alternate data sets.\nReview the recommended readings (Section 5.16).\n\n3. Practical workbook materials\n3.1 In the following sections, I describe the practical steps, and associated resources, you can use for your learning."
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