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Exploring and Assessing Intercultural Competence - Center for ...

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<strong>Exploring</strong> <strong>and</strong> <strong>Assessing</strong> <strong>Intercultural</strong> <strong>Competence</strong><br />

variance. However, <strong>for</strong> the moment, limitations of sample size, time constraints <strong>for</strong> per<strong>for</strong>ming<br />

statistical analysis, <strong>and</strong> other considerations, necessitated focusing quantitative analyses primarily<br />

on measuring the instrumentation, the underlying ICC concept through each of its four subcomponents<br />

(namely, knowledge, attitude, skills, <strong>and</strong> awareness) <strong>and</strong> the multiple items within<br />

each component (see Figure 1).<br />

Figure 1: <strong>Intercultural</strong> Competency <strong>and</strong> Components<br />

Knowledge<br />

In the 11 Tables that follow, the first 7 examine <strong>and</strong> assess the efficacy <strong>and</strong> validity of Part VII of<br />

the test instrument regarding its ability to measure <strong>and</strong> monitor ICC. The remaining tables, 8<br />

through 11, look at the “means” at the beginning <strong>and</strong> end of the service experience, i.e., the<br />

efficacy <strong>and</strong> validity of assumptions made about ICC. To reiterate, these analyses are based only<br />

on responses from British <strong>and</strong> Swiss alumni <strong>and</strong> do not include mentors or volunteers. In general,<br />

an Alpha score (i.e., the measure of reliability) of 6.0 or above <strong>for</strong> any item (some might even say<br />

5.0 or above) is considered a good score.<br />

C. Reliability Testing<br />

<strong>Intercultural</strong> Competency<br />

(ICC)<br />

Attitude Skills<br />

Awareness<br />

Cronbach Alphas were employed to test the reliability of inter-item consistency of the individual<br />

items listed under the four ICC components. The resulting scores are reported in Tables 1 <strong>and</strong> 2<br />

below, <strong>for</strong> beginning <strong>and</strong> end of service responses, respectively. It should be noted that reliability<br />

<strong>and</strong> principal component analyses are both item-based, thus reducing any effect normally<br />

imposed by small sample size.<br />

<strong>Center</strong> <strong>for</strong> Social Development<br />

Washington University in St. Louis<br />

18

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