20.10.2015 Views

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

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engagement and psychological measures that assess student learn<strong>in</strong>g. Faculty may also want to<br />

<strong>in</strong>clude course satisfaction measures <strong>in</strong> <strong>the</strong> survey. Course satisfaction measures are also<br />

<strong>in</strong>cluded <strong>in</strong> Table 2. F<strong>in</strong>ally, faculty may want to <strong>use</strong> a multi-method approach us<strong>in</strong>g surveys and<br />

reflections so <strong>the</strong>y can identify changes <strong>in</strong> students be<strong>for</strong>e, dur<strong>in</strong>g, and after service.<br />

The measures <strong>use</strong>d to assess service-learn<strong>in</strong>g impacts on student learn<strong>in</strong>g outcomes differed <strong>in</strong><br />

terms of <strong>the</strong> constructs (i.e., civic attitudes), measurements (s<strong>in</strong>gle-item questions vs. scales)<br />

and psychometric evidence (i.e., reliability, validity). While some researchers <strong>use</strong>d standardized<br />

<strong>in</strong>struments or psychological measures, o<strong>the</strong>rs developed s<strong>in</strong>gle item or scales with and<br />

without such evidence. Very few scales designed to measure service learn<strong>in</strong>g had acceptable<br />

psychometric data. Out of <strong>the</strong> 21 service-learn<strong>in</strong>g measures that had support<strong>in</strong>g psychometric<br />

evidence, only n<strong>in</strong>e of <strong>the</strong>m were fur<strong>the</strong>r assessed with advanced psychometric techniques<br />

(i.e., confirmatory factory analysis). There<strong>for</strong>e, researchers and practitioners who <strong>use</strong> servicelearn<strong>in</strong>g<br />

measures to evaluate pedagogical impacts may want to also conduct psychometric<br />

analyses on <strong>the</strong> specific measure to control <strong>for</strong> measurement error and to be assured that <strong>the</strong>y<br />

are measur<strong>in</strong>g what <strong>the</strong>y <strong>in</strong>tended (see Lehan & Hussey’s (2015) primer on scale development<br />

validation <strong>in</strong> this e-book). Additional service-learn<strong>in</strong>g measures should also be constructed and<br />

validated us<strong>in</strong>g advanced measurement <strong>the</strong>ories and psychometric perspectives.<br />

The current study expands <strong>the</strong> knowledge-based on measures <strong>use</strong>d to assess service-learn<strong>in</strong>g<br />

and civic engagement. This is one of <strong>the</strong> first studies to systematically analyze service-learn<strong>in</strong>g<br />

and civic engagement measures. Although this study only analyzed quantitative measures,<br />

qualitative methods of <strong>in</strong>quiry are complimentary and should be exam<strong>in</strong>ed. Qualitative and<br />

quantitative data collection methods should also be <strong>use</strong>d to measure service impacts, but only<br />

when civic engagement is an explicit course objective. Greater alignment between course<br />

objectives and outcomes may be <strong>the</strong> first step <strong>in</strong> measur<strong>in</strong>g civic engagement as a servicelearn<strong>in</strong>g<br />

outcome.<br />

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