This means that the relation between regions established in the

correlation matrix is stable through time, and can be used for reliable economic scenario creation.

Correlation matrices of the simultaneously measured KL coefficients (representing the spatial pattern of the individual QRST integral maps) did show marked linear relationships between certain coefficients, especially in normal subjects (upper truncated

correlation matrix in Table 1.).

Table I

CORRELATION MATRIX OF THE FIVE DIFFUSION INDEXES CONSTITUTING THE PMI (a) Supplier New Order Production Employment Delivery Inventory New order 1.00 Production 0.92 1.00 Employment 0.73 0.83 1.00 Supplier 0.60 0.58 0.68 1.00 delivery Inventory 0.49 0.54 0.72 0.69 1.00 (a) Pearson's product moment correlation.

TABLE 1 Scale Properties Male Female Scale alpha mean SD mean SD t Extraversion .87 5.6 3.6 5.2 3.8 .8 Neuroticism .86 5.0 3.5 5.2 3.9 .3 Psychoticism .46 1.9 1.5 2.1 1.7 .0 Lie scale .74 5.1 2.7 6.4 2.4 2.4 * FSAC .97 96.4 19.2 99.8 18.7 1.0 * p <.05 TABLE 2

Correlation Matrix Lie Psy Neu Ext FSAC .11 -.21 ** -.06 .02 Extraversion -.13 -.14 -.17 * Neuroticism -.26 *** -.05 Psychoticism -.16 ** *** p <.001 ** p <.01 * p <.05

Trout and Chow [69] tabulated two-sided nonequicoordinate p X 100 percentage points of trivariate (M = 3) t-distribution with non-singular

correlation matrixTable 2 contains a MTMM

correlation matrix for the normative and ipsatized data.

Looking at the

Correlation Matrix in Table 1, it becomes apparent that three variables, Q34-Q36, are correlated to a much lower degree with the others than these others are with one another.

The interitem

correlation matrix for the five personal teaching efficacy items from Hoy and Woolfolk's (1993) revised version of the Teacher Efficacy Scale (Gibson & Dembo, 1984) were also submitted to principal components analysis.

For data set 2, there are some differences on the MDS scatter plot of the between-group

correlation matrix (Fig.

The

correlation matrix revealed only one factor with all six variables loading high on that factor.

Usually the eigenvalue [is greater than] 1 rule (given that S is a

correlation matrix) and the screeplot are used to establish that a given S is compatible with the common factor model (e.g., Stevens, 1992).

I calculated the

correlation matrix (3) for West Bengal (Table 1) and Bangladesh (Table 2) to determine the linear relationship of arsenic concentrations among the biochemical parameters.

In addition, if the pattern of a large

correlation matrix is to be tested, then the fact that each individual correlation could have the wrong sign becomes important.

Examining the

correlation matrix for the NBA variables (Table 1) and the selected scattergrams [ILLUSTRATION FOR FIGURE 1 OMITTED] constructed to pictorially represent these data distributions we noticed several significant outcomes.