<p> The thesis investigated debated intelligence theories: Cattell’s (1943) “Theory of Fluid and Crystallized Intelligence” and Gardner’s (1983) “Theory of M.I.” 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>≤.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 “Theory of Fluid and Crystallized Intelligence” data (χ<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.” model fit was insupportable (χ<sup> 2</sup>(300) =1441.448, <i>p</i><.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 (χ<sup>2</sup>(264) =569.09, p<.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 (χ<sup>2</sup>(267) =526.32, p<.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 & R.A.I.T. TII to <i>g</i> SCU Model shows good fit (χ<sup>2</sup>(120) =247.56, p<.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>
Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:10140345 |
Date | 22 July 2016 |
Creators | Eastes, Bryan |
Publisher | George Mason University |
Source Sets | ProQuest.com |
Language | English |
Detected Language | English |
Type | thesis |
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