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A COMPENDIUM OF SCALES for use in the SCHOLARSHIP OF TEACHING AND LEARNING

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choos<strong>in</strong>g appropriate scales, develop<strong>in</strong>g scales, and <strong>the</strong> types of scales <strong>the</strong> SoTL literature still<br />

needs.<br />

The first section of this e-book foc<strong>use</strong>s on <strong>the</strong> selection, <strong>use</strong>, development, and validation of<br />

scales. In Chapter 2, Regan Gurung discusses several best practices concern<strong>in</strong>g scale <strong>use</strong> and<br />

choice, <strong>in</strong>clud<strong>in</strong>g identify<strong>in</strong>g relevant psychological variables that <strong>in</strong>fluence learn<strong>in</strong>g and us<strong>in</strong>g<br />

published scales <strong>in</strong>stead of cobbl<strong>in</strong>g toge<strong>the</strong>r a non-validated measure. The chapter concludes<br />

with a review of criteria <strong>for</strong> select<strong>in</strong>g an appropriate scale and (where no published scale is<br />

available) writ<strong>in</strong>g your own items. In Chapter 3, Andrew Christopher complements <strong>the</strong> best<br />

practices chapter with advice on how to select <strong>the</strong> right scale, from his perspective as <strong>the</strong><br />

current editor of Teach<strong>in</strong>g of Psychology.<br />

The next two chapters focus specifically on scale development and validation. In Chapter 4,<br />

authors Hea<strong>the</strong>r Hussey and Tara Lehan provide a brief, accessible guide to <strong>the</strong> scale<br />

development process. They succ<strong>in</strong>ctly describe <strong>the</strong> early stages of scale development such as<br />

conduct<strong>in</strong>g literature reviews, creat<strong>in</strong>g items, pilot test<strong>in</strong>g, and revis<strong>in</strong>g items. They also provide<br />

an excellent summary of common reliability and validity tests, which will prove particularly<br />

<strong>use</strong>ful to anyone new to <strong>the</strong> scale validation process (or even if you just need a refresher).<br />

Section 1 concludes with a commentary on <strong>the</strong> state of scale validation <strong>in</strong> SoTL research<br />

(Chapter 5), <strong>in</strong> which Georjeanna Wilson-Doenges provides some exemplars of ways <strong>in</strong> which<br />

SoTL researchers have adopted <strong>the</strong> best practices <strong>for</strong> scale validation while operat<strong>in</strong>g with<strong>in</strong> <strong>the</strong><br />

common constra<strong>in</strong>ts of sample size, class composition, and semester length; all of which are<br />

perennial issues among SoTL researchers.<br />

The chapters <strong>in</strong> Section 2 make up <strong>the</strong> bulk of <strong>the</strong> e-book and present a topical selection of<br />

scale <strong>in</strong><strong>for</strong>mation:<br />

In Chapter 6, Pam Marek, Adrienne Williamson, and Lauren Taglialatela discuss <strong>the</strong><br />

measurement of student learn<strong>in</strong>g and self-efficacy. The authors describe both <strong>for</strong>mative<br />

assessments (e.g., classroom assessment techniques) and summative assessments (e.g., writ<strong>in</strong>g<br />

assignments and standardized tests), be<strong>for</strong>e conclud<strong>in</strong>g with a review of measures of perceived<br />

learn<strong>in</strong>g and perceived self-efficacy.<br />

The measurement of critical th<strong>in</strong>k<strong>in</strong>g skills is addressed <strong>in</strong> Chapter 7 by Eric Landrum and<br />

Maureen McCarthy, who review ma<strong>in</strong>stream measures of critical th<strong>in</strong>k<strong>in</strong>g that are specific to<br />

psychology as well as broad-based general measures. This chapter concludes with a set of<br />

recommendations <strong>for</strong> how SoTL researchers might balance <strong>the</strong> desires <strong>for</strong> efficiency and<br />

validity <strong>in</strong> <strong>the</strong> measurement of this complex construct.<br />

Measures of student engagement toward coursework at both macro- and micro-levels are<br />

reviewed <strong>in</strong> Chapter 8 by Kev<strong>in</strong> Zabel and Amy Heger. The latter <strong>in</strong>cludes descriptions of<br />

measures of student <strong>in</strong>terest, student engagement, as well as ancillary measures such as grit<br />

6

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