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6 changes: 6 additions & 0 deletions docs/general/assessment.html
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<span class="menu-text"><span class="chapter-number">2</span>&nbsp; <span class="chapter-title">Lab: Correlation, Single, and Multiple Linear Regression</span></span></a>
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<span class="menu-text"><span class="chapter-number">2</span>&nbsp; <span class="chapter-title">Lab: Correlation, Single, and Multiple Linear Regression</span></span></a>
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<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">

<meta name="author" content="Gabriele Filomena and Zi Ye">
<meta name="dcterms.date" content="2024-11-12">
<meta name="dcterms.date" content="2024-11-14">

<title>Exploring the Social World - Quantitative Block: Statistics</title>
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<div class="quarto-title-meta-heading">Published</div>
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<p class="date">November 12, 2024</p>
<p class="date">November 14, 2024</p>
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11 changes: 8 additions & 3 deletions docs/labs/01.introR.html
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<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">

<meta name="author" content="Gabriele Filomena">
<meta name="dcterms.date" content="2024-11-12">
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<title>Exploring the Social World - Quantitative Block: Statistics - 1&nbsp; Lab: Introduction to R for Statistics</title>
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<p class="date">November 12, 2024</p>
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<p><strong>Task</strong>: Adopt a regrouping strategy.</p>
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<p>**</p>
<p>You can also cross-tabulate gross (or net) income with any of the other variables in the FRS to your heart’s content – or can you?</p>
<p>Again, here is important to recall that the income variables in the FRS are all ‘scale’ variables; in other words, they are precise measures rather than broad categories. Consequently, every single person in the FRS potentially has their own unique income value. That could make for a table c.&nbsp;44,000 rows long (one row per person) if each person has their own unique value. The solution is to create a categorical version of the original income variable by assigning each person to one of a set of income categories (income bands). Having done this, cross-tabulation then becomes possible.</p>
<p>But which strategy to use? Equal intervals, percentiles or ‘ad hoc’. Here I would suggest that ‘ad hoc’ is best: all you want to do is to allocate each independent adult to one of three arbitrarily defined groups: ‘low’, ‘middle’ and ‘high’ income. <strong>Define <code>Low</code> and <code>High</code> Income Thresholds</strong></p>
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14 changes: 12 additions & 2 deletions docs/labs/02.MultipleLinear.html
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<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">

<meta name="author" content="Gabriele Filomena">
<meta name="dcterms.date" content="2024-11-12">
<meta name="dcterms.date" content="2024-11-14">

<title>Exploring the Social World - Quantitative Block: Statistics - 2&nbsp; Lab: Correlation, Single, and Multiple Linear Regression</title>
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<div class="quarto-title-meta-heading">Published</div>
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<p class="date">November 12, 2024</p>
<p class="date">November 14, 2024</p>
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