the moral reasoning of student athletes and athletic training students
the moral reasoning of student athletes and athletic training students
the moral reasoning of student athletes and athletic training students
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<strong>and</strong> <strong>the</strong>n evaluated each <strong>of</strong> <strong>the</strong> three specific statements <strong>of</strong> <strong>reasoning</strong> relative to <strong>the</strong> decision<br />
choice, category <strong>of</strong> <strong>reasoning</strong>, <strong>and</strong> underlying <strong>the</strong>oretical construct. Where appropriate, choices<br />
were discussed <strong>and</strong> reworded to better match <strong>the</strong> underlying <strong>the</strong>ory.<br />
Convergent validity is a method <strong>of</strong> measuring constructs that <strong>the</strong>oretically should be<br />
related to each o<strong>the</strong>r. It is a way to show a correspondence or convergence between a similar<br />
construct. In this case, because <strong>the</strong> HBVCI, a valid tool <strong>and</strong> <strong>the</strong> st<strong>and</strong>ard for measuring <strong>moral</strong><br />
<strong>reasoning</strong> in sport competition, uses <strong>the</strong> same <strong>the</strong>oretical construct, <strong>the</strong> HBVCI was used to help<br />
establish convergent validity. High correlations with <strong>the</strong> HBVCI would be evidence <strong>of</strong><br />
convergent validity. A bivariate analysis was run with each <strong>of</strong> <strong>the</strong> decision responses (see table<br />
5). Decision 1 is significantly correlated with Decision 2 (r = .23, p=.002), Decision 3 (r = .17, p<br />
= .02), Decision 4 (r = .23, p = .002), <strong>and</strong> Decision 5 (r = .29, p = .001). Decision 2 is<br />
significantly correlated with Decision 3 (r = .255, p = .001) <strong>and</strong> Decision 5 (r = .31, p = .001),<br />
but not Decision 4 (r = .14, p = 06). Decision 3 is significantly correlated with Decision 5 (r =<br />
.29, p = .001) but not Decision 4 (r = .12, p = .13). Decision 4 is significantly correlated with<br />
Decision 5 (r = .23, p = .002). At this point, Scenario 4 appears to have some questions <strong>of</strong><br />
correlation in relation to <strong>the</strong> o<strong>the</strong>r four scenarios. This may have occurred because <strong>the</strong> original<br />
scoring for this question was reverse scored. The original purpose <strong>of</strong> <strong>the</strong> reverse scoring was to<br />
examine to see if respondents were actually reading <strong>and</strong> paying attention to <strong>the</strong> inventory.<br />
However, <strong>of</strong>tentimes respondents have difficulty with reverse scored items even though <strong>the</strong>y are<br />
paying attention to <strong>the</strong> instrument. In <strong>the</strong> next pilot, it may be <strong>of</strong> value to remove <strong>the</strong> reverse<br />
scoring to see whe<strong>the</strong>r <strong>the</strong> Decision 4 scenario responses are better correlated with <strong>the</strong> o<strong>the</strong>r<br />
Decisions. Perhaps a Structural Equation Modeling (SEM) analysis might reveal that scenario 4<br />
is a measure <strong>of</strong> discriminant validity, something that is also required <strong>of</strong> convergent validity.<br />
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