Haves, Halves, and Have-Nots: School Libraries and Student Achievement in California Page: 151
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Component Matrix for Factor Analysis of Library Variables, Grade 8
Variable Factor la
Hours Open .811
Collection Size .705
Total Staff Hours .831
Total Services .819
Total Technology .831
Note: Extraction method was principal component analysis.
a. Only one component was extracted.
In the first factor analysis for school and community variables, percent of teachers fully
credentialed was eliminated with a loading of .35. A second factor analysis resulted in two
factors that accounted for 82.46% of the variance; the first includes the strongest loadings for
parent education, free and reduced lunch, ethnicity, and percentage English Learners, and this
factor accounted for 61.78% of the variance. As with fourth grade, this factor was largely
associated with community variables. The second factor, accounting for 20.68% of the variance,
most strongly loaded on average teacher salary, a school variable. See Table 53 for the factor
matrix and Table 54 for the total variances explained.
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Achterman, Douglas L. Haves, Halves, and Have-Nots: School Libraries and Student Achievement in California, dissertation, December 2008; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc9800/m1/165/: accessed May 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .