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The Journal of the World Council for Gifted and Talented Children

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<strong>The</strong> <strong>World</strong> <strong>Council</strong> <strong>for</strong> <strong>Gifted</strong> <strong>and</strong> <strong>Talented</strong> <strong>Children</strong><br />

This article reports on data collected during <strong>the</strong> period between 2008 <strong>and</strong> 2010, where 332<br />

(69% ) <strong>of</strong> <strong>the</strong> 481 students completing <strong>the</strong> unit provided <strong>the</strong>ir responses to <strong>the</strong> pre <strong>and</strong> post surveys,<br />

with many providing written reflections on how <strong>and</strong> why <strong>the</strong>y felt <strong>the</strong>ir opinions towards giftedness<br />

<strong>and</strong> gifted education had changed. Pseudonyms have been used throughout <strong>for</strong> all reflective<br />

commentary.<br />

Survey instrument<br />

<strong>The</strong> survey instrument utilized was an Opinionnaire developed by Gagné <strong>and</strong> Nadeau (1985)<br />

entitled “Opinions about <strong>the</strong> <strong>Gifted</strong> <strong>and</strong> <strong>the</strong>ir Education”. A Likert scale was utilised to categorise<br />

responses to each statement, with 1 indicating total disagreement <strong>and</strong> 5 indicating total agreement.<br />

<strong>The</strong> Opinionnaire included 34 items (half <strong>of</strong> which are negatively oriented) <strong>and</strong> aims to gain insight<br />

into opinions concerning <strong>the</strong> gifted <strong>and</strong> <strong>the</strong>ir education in six areas:<br />

1. Needs <strong>and</strong> support - needs <strong>of</strong> gifted children <strong>and</strong> support <strong>for</strong> special services (8 items);<br />

2. Resistance to objections - objections based on ideology <strong>and</strong> priorities (10 items, all<br />

negatively framed);<br />

3. Social value - social usefulness <strong>of</strong> gifted persons in society (4 items, 1 <strong>of</strong> which was negatively<br />

framed);<br />

4. Rejection - isolation <strong>of</strong> gifted persons by o<strong>the</strong>rs in <strong>the</strong> immediate environment (3 items);<br />

5. Ability grouping - attitudes toward special homogeneous groups, classes, schools (4 items, 3<br />

<strong>of</strong> which were negatively framed); <strong>and</strong><br />

6. School acceleration - Attitudes toward accelerative enrichment (5 items, 3 <strong>of</strong> which were<br />

negatively framed).<br />

Analysis<br />

Results were analyzed using a combination <strong>of</strong> s<strong>of</strong>tware packages, SPSS <strong>for</strong> <strong>the</strong> survey data<br />

<strong>and</strong> NVivo <strong>for</strong> <strong>the</strong> qualitative reflections. Descriptive <strong>and</strong> nonparametric statistics <strong>for</strong>med <strong>the</strong> basis <strong>of</strong><br />

<strong>the</strong> quantitative data analysis, while qualitative data in <strong>the</strong> <strong>for</strong>m <strong>of</strong> written student reflections was<br />

analysed <strong>for</strong> <strong>the</strong>mes <strong>and</strong> commentary specific to <strong>the</strong> 6 categories identified by Gagné <strong>and</strong> Nadeau<br />

(1985).<br />

Initial statistical analysis on <strong>the</strong> six subscales originally identified by Gagné <strong>and</strong> Nadeau<br />

(1985) indicated insufficient internal reliability to utilise <strong>the</strong>se subscales statistically (Nunnaly, 1978)<br />

but <strong>the</strong>y were felt to be useful <strong>for</strong> categorizing <strong>the</strong> sets <strong>of</strong> items which were individually analysed. As<br />

responses to single Likert items are normally treated as ordinal data, it was felt that <strong>the</strong> most<br />

appropriate test to use was <strong>the</strong> nonparametric version <strong>of</strong> <strong>the</strong> repeated measures t-test, <strong>the</strong> Wilcoxin<br />

signed rank test. Nanna <strong>and</strong> Sawilowsky (1998) also support <strong>the</strong> use <strong>of</strong> nonparametric tests such as<br />

<strong>the</strong> Wilcoxin with typical Likert scale data, suggesting a considerable power advantage over <strong>the</strong><br />

equivalent parametric t test, with <strong>the</strong> advantage increasing with sample size.<br />

For <strong>the</strong> purposes <strong>of</strong> displaying <strong>the</strong> Likert scale mean responses in <strong>the</strong> <strong>for</strong>m <strong>of</strong> figures, actual<br />

ra<strong>the</strong>r than inverted scores were used, however <strong>for</strong> <strong>the</strong> statistical analysis, <strong>the</strong> scores were inverted.<br />

<strong>The</strong> underlying assumption utilised <strong>for</strong> <strong>the</strong> purposes <strong>of</strong> <strong>the</strong> display <strong>of</strong> actual ra<strong>the</strong>r than inverted<br />

mean scores was to present a visual representation <strong>of</strong> <strong>the</strong> level <strong>of</strong> agreement or disagreement, with<br />

a score <strong>of</strong> 4 <strong>and</strong> above representative <strong>of</strong> a strong level <strong>of</strong> agreement, scores around 3 representing<br />

indecision <strong>and</strong> scores <strong>of</strong> 2 <strong>and</strong> below representing disagreement. For each <strong>of</strong> <strong>the</strong> 34 items, a<br />

Wilcoxin signed rank test was conducted to determine <strong>the</strong> significance <strong>of</strong> <strong>the</strong> difference between <strong>the</strong><br />

responses at <strong>the</strong> beginning <strong>and</strong> end <strong>of</strong> <strong>the</strong> semester. In addition to measures <strong>of</strong> statistical<br />

significance, effect sizes, which measure <strong>the</strong> strength <strong>of</strong> <strong>the</strong> relationship between two variables,<br />

were determined using a calculation <strong>of</strong> r as recommended by Clark-Carter (2004) whereby z is<br />

converted into r with:<br />

r =<br />

Where z is available from <strong>the</strong> SPSS statistics table output <strong>and</strong> N equals <strong>the</strong> total sample size<br />

<strong>for</strong> both sets <strong>of</strong> responses corrected <strong>for</strong> ties (responses that are <strong>the</strong> same pre <strong>and</strong> post). Cohen<br />

(1988) suggested that r = .1 could be considered small, r = .3 could be considered medium <strong>and</strong> r =<br />

.5 could be considered large in terms <strong>of</strong> effect sizes. According to Ellis (2010), <strong>the</strong> reporting <strong>of</strong> effect<br />

34 <strong>Gifted</strong> <strong>and</strong> <strong>Talented</strong> International – 26(1), August, 2011; <strong>and</strong> 26(2), December, 2011.

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