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Fluid and Crystallized g vs. Multiple Intelligence| A Structural Equation Modeling Study of Human Intelligence Theories & Measurement

<p> The thesis investigated debated intelligence theories: Cattell&rsquo;s (1943) &ldquo;Theory of Fluid and Crystallized Intelligence&rdquo; and Gardner&rsquo;s (1983) &ldquo;Theory of M.I.&rdquo; The research asks: Which existing theory-based and hypothetically based measurement models of intelligence fit the measurement data better? How does a traditional vs. modified M.I. Theory measurement model fit? How does a combined measurement model of the theories fit? Participants (n=287) were students (age 18-25) from a top-tier East-Coast university. Approximate statistical power is .90 with effect size of .5 (<i>p</i>&le;.05). Participants were administered the <i>Reynolds Adaptable Intelligence Test and Multiple Intelligence Developmental Assessment Scales</i>. Structural equation modeling revealed better fit for the &ldquo;Theory of Fluid and Crystallized Intelligence&rdquo; data (&chi;<sup>2</sup>(4) =8.08, <i>p</i>=.09; CMIN/d.f.=2.02; RMSEA= .06; TLI= .98; CFI= .99; IFI=.99; SRMR=.0221). The traditional Theory of M.I.&rdquo; model fit was insupportable (&chi;<sup> 2</sup>(300) =1441.448, <i>p</i>&lt;.000; CMIN/d.f.=4.80; RMSEA= .12; TLI= .61; CFI= .64; IFI=.65; SRMR=.2239), but alternative M.I. models were supported. A correlated M.I. model (&chi;<sup>2</sup>(264) =569.09, p&lt;.001; CMIN/d.f.=2.16; RMSEA= .06; TLI= .88; CFI= .90; IFI= .91; SRMR=.06) and 4-factor model M.I. with distinct bodily-kinesthetic and musical talent (&chi;<sup>2</sup>(267) =526.32, p&lt;.001; CMIN/d.f.=2.12; RMSEA= .06; GFI=.91; TLI= .92; CFI= .94; IFI= .94; SRMR=.06) show acceptable to good fit. A M.I. Indicator &amp; R.A.I.T. TII to <i>g</i> SCU Model shows good fit (&chi;<sup>2</sup>(120) =247.56, p&lt;.001; CMIN/d.f.=2.06; RMSEA= .06; TLI= .89; GFI=.94; CFI= .96; IFI= .96; SRMR=.10). Current findings are further discussed in relation to analogous studies.</p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:10140345
Date22 July 2016
CreatorsEastes, Bryan
PublisherGeorge Mason University
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

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