Results

Of the 890 surveys distributed, 198 (129 male, 69 female) were returned giving a response rate of 20.2%.

Before applying any statistical examination it was imperative to determine whether sufficient sample size had been achieved.

A formula for sample size was used

E = Z a/2 0/^n

or

n = (Z a/2 °/E)2

At 99.9% degree of confidence z a/2 was de­termined to be 2.59.

The highest value for о was 2.71 The margin of error was 1.

The minimum sample size was 50 (rounded up). A series of Levene tests was carried out to determine homogeneity of variance. The Levene’s tests provided a significance of <.001 for all ques­tions being examined, indicating that data was sufficiently robust to apply t-tests, linear regres­sions and chi-square tests.

For the purpose of clarity, the drivers and benefits will be considered separately.

Drivers

The results of Kaiser-Meyer-Olkin MSA (.914) and Bartlett’s Test of Sphericity (x2 = 1987, p =.000) indicated that the data set satisfied the as­sumptions for factorability. Principle Components Analysis was chosen as the method of extraction in order to account for maximum variance in the data using a minimum number of factors. A three — factor solution was extracted with eigenvalues

7.567, 2.271 and 1.002 and was supported by an inspection of the Scree plot. These 3 factors accounted for 67.878% of the variance as shown in Table 1.

The 3 components were rotated using the Varimax procedure and a simple structure was achieved as shown in the Rotated Component Matrix in Table 2.

The 3 factors are independent and uncorre­lated, as an orthogonal rotation procedure was used.