Total
variance accounted for by the above factors was 32%at 6-month follow-up and 24% at 1-year follow-up.
While the IRAP only correlated with one self-report measure in one of the studies, it frequently increased the
variance accounted for by the self-report measures.
The short duration of the study is also a limitation: I am reporting three years of data, and every semester the data analysis has been done, the percentage of
variance accounted for in each regression model has increased, so with more participants the proportion ofvariance accounted for by the predictor variables might grow
the soil texture score and the rainfall (3.7-38.5% of the
variance accounted for; Table 4).
These complementary interpretation criteria include: the factor loadings of variables; the percentage of
variance accounted for by the components; and the interpretability of the resulting factors.
To determine which model best represents the sample data the following four techniques will be discussed: 1) comparison of model fit statistics, 2) ratio of
variance accounted for by the general factor over the
variance accounted for by the specific factors, 3) the degree to which total scores reflect a common variable, and 4) the viability of reporting subscale scores as indicated by subscale reliability.
It is interesting that, although smaller than the
variance accounted for by goal selection and planning, changes in students' self-efficacy regarding their ability to obtain occupational information and their ability to engage in self-appraisal accounted for an equal proportion of the variance.
The amount of
variance accounted for by SSES total score was reduced from 17% to 5% when BD Scale score was controlled for ([beta] = -.225, p=.098).
The unique
variance accounted for by the IAWL slope parameter after controlling for the IAWL and ORF initial status and the ORF slope parameters ranged from .01 to .29, with significant results for measures of untimed and timed decoding and word reading ability, as well as passage reading accuracy.
Because strength of association measures are based on a regression model (GLM), most can be interpreted as the percent of
variance accounted for in the dependent variable.
Five other factors were identified in the original factor analysis, although the total
variance accounted for by each was only between 3%-5%.
In all years, the fraction of total wage
variance accounted for by within-industry variation is between 75 and 80 percent.