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Quality in Student Financial Aid Programs A New Approach (1993) / Chapter Skim
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A A Review of the Methodology Used in the Integrated Quality Control Measurement Project
Pages 185-193

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From page 185...
... In the IQCMP, the student and the academic institution were examined as sources of error in each of the Title IV programs studied. Overall and composite error were also examined.
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From page 186...
... In future studies of quality control in student financial aid programs, the estimated true value for variables, such as wealth, could be calculated and used to determine the error in the amount of the financial award. Generally, variables with low reliability are not very useful for calculating eligibility for financial awards.
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From page 187...
... Details of the sampling procedure are not given in the IQCMP report, but they are provided in a separate sampling plan document (Price Waterhouse, 1989~. A two-stage cluster sample was used in which postsecondary institutions were sampled in clusters of size 1, 2, 3, or 4.
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From page 188...
... The exhibits in Section II ("Error in the Title IV Financial Aid Programs") of the IQCMP report present standard errors for many estimates.
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From page 189...
... There is not enough information in the IQCMP report to obtain the covariances between the variables, and so it is not possible to say, based on the report, how large the standard error for differences across variables might be. A statement such as the following from page II-1, "absolute student error was higher than absolute institutional error (6.6 percent of dollars and 5.1 percent of dollars, respectively)
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From page 190...
... With variables such as income, the use of the log transformation effectively reduces skewness. Although loss of information due to categorizing continuous variables is probably not large, future studies of quality control in student financial aid programs should use logistic regression when appropriate.
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From page 191...
... For a discrete dependent variable and for discrete independent variables, a logit analysis can be performed to accomplish the same purpose that a multiple regression accomplishes for continuous variables. (PROC CATMOD in SAS can be used to perform a logit analysis.)
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From page 192...
... SUMMARY Some of the statistical methods used for the IQCMP were inefficient, especially in the joint analyses for deriving error profiles. Some alternative methodologies, such as including the reliability of variables and using estimated true values, are recommended strongly for any future studies of quality control in student financial aid programs.
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From page 193...
... Wash ington, D.C.: Price Waterhouse. 1990 Integrated Quality Control Measurement Project, Findings and Corrective Actions.
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Key Terms

  • iqcmp report
  • student financial
  • continuous variables
  • standard errors
  • aid programs

  • contingency table
  • independent variables
  • dependent variable
  • logistic regression
  • multiple regression

  • simple random
  • true value
  • random sample
  • integrated quality
  • measurement project

  • strongly associated
  • future studies
  • control measurement
  • corrective actions
  • sampling plan

  • estimated true
  • household size
  • originally continuous
  • various measures
  • multiple regressions

  • table analyses
  • student error
  • price waterhouse
  • contingency tables
  • table analysis


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