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Merge pull request #4 from PsyTeachR/L2-analysis
update L2 analysis links to v3
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analysis/index.html

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<html xmlns="http://www.w3.org/1999/xhtml">
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<head>
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<title>Analysis</title>
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<meta http-equiv="refresh" content="0; url=/analysis-v2/" />
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<meta http-equiv="refresh" content="0; url=/analysis-v3/" />
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</head>
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<body>
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<p>This page has moved to a <a href="https://psyteachr.github.io/analysis-v2/">
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https://psyteachr.github.io/analysis-v2/</a>.</p>
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<p>This page has moved to a <a href="https://psyteachr.github.io/analysis-v3/">
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https://psyteachr.github.io/analysis-v3/</a>.</p>
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</body>
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</html>

docs/analysis/index.html

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<html xmlns="http://www.w3.org/1999/xhtml">
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<head>
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<title>Analysis</title>
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<meta http-equiv="refresh" content="0; url=/analysis-v2/" />
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<meta http-equiv="refresh" content="0; url=/analysis-v3/" />
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</head>
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<body>
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<p>This page has moved to a <a href="https://psyteachr.github.io/analysis-v2/">
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https://psyteachr.github.io/analysis-v2/</a>.</p>
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<p>This page has moved to a <a href="https://psyteachr.github.io/analysis-v3/">
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https://psyteachr.github.io/analysis-v3/</a>.</p>
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</body>
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</html>

docs/resources.html

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@@ -262,7 +262,7 @@ <h3 class="anchored"><a href="https://psyteachr.github.io/data-skills/">Level 1:
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</li>
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<li data-index="1" data-categories="textbook,undergraduate" data-listing-file-modified-sort="1726239260830" data-listing-reading-time-sort="1" data-listing-word-count-sort="1">
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<li data-index="1" data-categories="textbook,undergraduate" data-listing-file-modified-sort="1726501712372" data-listing-reading-time-sort="1" data-listing-word-count-sort="1">
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<div>
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<a href="https://psyteachr.github.io/analysis/"><img src="./images/analysis.png"></a>
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</div>
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<p>Our second-year undergraduate course covers data skills such as R Markdown, data wrangling with tidyverse, and data visualisation with ggplot2. It also introduces statistical concepts such as permutation tests, NHST, alpha, power, effect size, and sample size. Semester 2 focusses on correlations and the general linear model.</p>
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Author: Phil McAleer, Carolina Kuepper-Tetzel, Helena Paterson
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Author: Gaby Mahrholz, Carolina E. Kuepper-Tetzel, Phil McAleer, Helena Paterson
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<br>Contact:
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Carolina Kuepper-Tetzel
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<a href="https://www.gla.ac.uk/schools/psychologyneuroscience/staff/gabymahrholz/">Gaby Mahrholz</a>
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docs/resources/l2-analysis.html

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<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
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<meta name="author" content="Gaby Mahrholz">
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<meta name="author" content="Carolina E. Kuepper-Tetzel">
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<meta name="author" content="Phil McAleer">
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<meta name="author" content="Carolina Kuepper-Tetzel">
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<meta name="author" content="Helena Paterson">
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<meta name="description" content="Our second-year undergraduate course covers data skills such as R Markdown, data wrangling with tidyverse, and data visualisation with ggplot2. It also introduces statistical concepts such as permutation tests, NHST, alpha, power, effect size, and sample size. Semester 2 focusses on correlations and the general linear model.">
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<div>
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<div class="quarto-title-meta-heading">Authors</div>
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<div class="quarto-title-meta-contents">
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<p>Gaby Mahrholz </p>
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<p>Carolina E. Kuepper-Tetzel </p>
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<p>Phil McAleer </p>
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<p>Carolina Kuepper-Tetzel </p>
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<p>Helena Paterson </p>
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</div>
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</div>

docs/search.json

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docs/sitemap.xml

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</url>
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<url>
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<loc>https://psyteachr.github.io/resources/quant-fun.html</loc>
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<lastmod>2024-09-13T14:54:20.831Z</lastmod>
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<lastmod>2024-09-13T15:03:28.311Z</lastmod>
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</url>
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<url>
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<loc>https://psyteachr.github.io/resources/glossary.html</loc>
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</url>
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<url>
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<loc>https://psyteachr.github.io/resources/l2-analysis.html</loc>
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<lastmod>2024-09-13T14:54:20.830Z</lastmod>
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<lastmod>2024-09-16T15:48:32.372Z</lastmod>
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</url>
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<url>
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<loc>https://psyteachr.github.io/resources/ads.html</loc>

resources/l2-analysis.qmd

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---
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title: "Level 2: Analysis"
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author: [Phil McAleer, Carolina Kuepper-Tetzel, Helena Paterson]
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author: [Gaby Mahrholz, Carolina E. Kuepper-Tetzel, Phil McAleer, Helena Paterson]
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categories: [textbook, undergraduate]
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description: Our second-year undergraduate course covers data skills such as R Markdown, data wrangling with tidyverse, and data visualisation with ggplot2. It also introduces statistical concepts such as permutation tests, NHST, alpha, power, effect size, and sample size. Semester 2 focusses on correlations and the general linear model.
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image: ../../images/analysis.png
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url: https://psyteachr.github.io/analysis/
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contact: Carolina Kuepper-Tetzel
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contact:
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name: Gaby Mahrholz
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url: https://www.gla.ac.uk/schools/psychologyneuroscience/staff/gabymahrholz/
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order: 2
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---

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