scholarly journals A Principal Components Analysis Of The U.S. News & World Report Tier Rankings Of National Liberal Arts Colleges

2011 ◽  
Vol 17 (1) ◽  
Author(s):  
Thomas J. Webster
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Liberal Arts ◽  
Liberal Arts Colleges ◽  
Font Size ◽  
Academic Reputation ◽  
Ranking Criteria ◽  
Components Analysis ◽  
World Report ◽  
National Universities

<p class="MsoNormal" style="text-align: justify; margin: 0in 37.8pt 0pt 0.5in;"><span style="font-family: &quot;CG Times&quot;,&quot;serif&quot;; font-size: 10pt; mso-bidi-font-style: italic;">Analyzing the relative contribution of eleven ranking criteria used to construct the 1999 </span><strong><span style="font-family: &quot;CG Times&quot;,&quot;serif&quot;; font-size: 10pt;">U.S. News &amp; World Report</span></strong><span style="font-family: &quot;CG Times&quot;,&quot;serif&quot;; font-size: 10pt; mso-bidi-font-style: italic;"> (</span><span style="font-family: &quot;CG Times&quot;,&quot;serif&quot;; font-size: 10pt;">USNWR)<span style="mso-bidi-font-style: italic;"> tier rankings of national universities, Webster (2000) found by utilizing principal components analysis the actual contributions differed significantly from the explicit USNWR weighting scheme.<span style="mso-spacerun: yes;">&nbsp; </span>This difference was due to the presence of severe and pervasive multicollinearity.<span style="mso-spacerun: yes;">&nbsp; </span>Although </span>USNWR<span style="mso-bidi-font-style: italic;"> assigns the greatest explicit weight to academic reputation, Webster found that the most significant ranking criterion was average SAT (Scholastic Aptitude Test) scores of enrolled students. This paper extends Webster's study to the </span>USNWR<span style="mso-bidi-font-style: italic;"> tier rankings of national liberal arts colleges.<span style="mso-spacerun: yes;">&nbsp; </span>The results of this study reinforces Webster's findings about the importance of academically related ranking criteria, although academic reputation appears to carry greater weight for national liberal arts colleges than for national universities.</span></span></p>

Diagnoses Generated by Numerical Taxonomic Methods Applied to Standard Blood Variables

1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton
Keyword(s):  
Liver Cirrhosis ◽  
Renal Disease ◽  
Principal Components Analysis ◽  
Discriminant Function ◽  
Principal Components ◽  
Discriminant Function Analysis ◽  
Chronic Renal Disease ◽  
Function Analysis ◽  
Infectious Hepatitis ◽  
Components Analysis

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.

Assamese vowels and vowel harmony

2020 ◽  
Vol 6 (2) ◽  
pp. 151-183
Author(s):  
Diana B. Archangeli ◽  
Jonathan Yip
Keyword(s):  
Physical Properties ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Vowel Harmony ◽  
Language Community ◽  
Acoustic Data ◽  
Apparent Loss ◽  
Root Position ◽  
Components Analysis ◽  
Open Question

AbstractBased on impressionistic and acoustic data, Assamese is described as having a phonological tongue root harmony system, with blocking by certain phonological configurations and over-application in certain morphological contexts. This study explores physical properties of the patterns using ultrasonic imaging to determine whether the impressionistic descriptions match what speakers actually do. Principal components analysis (PCA) determines that most participants produce a contrast in tongue root position in the appropriate contexts, though there is less of an impact on tongue root with greater distance from the triggering vowel. Analysis uses the root mean squared distance (RMSD) calculation to determine whether both blocking and over-application take effect. The blocking results conform to the impressionistic descriptions. With over-application, [e] and [o] are expected; while some speakers clearly produce these vowels, others articulate a vowel that is indeterminant between the expected [e]/[o] and an unexpected [ɛ]/[ɔ]. No speaker consistently showed the expected tongue root position in all contexts, and some speakers appeared to have lost the contrast entirely, yet all are considered to be speakers of the same dialect of Assamese. Whether this (apparent) loss is a consequence of crude research methodologies or accurately reflects what is happening within the language community remains an open question.

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