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nicole kotras masters thesis

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Table 6<br />

Demographic data for Sample 1 and Sample 2<br />

Cultural group: W<br />

C<br />

B<br />

I<br />

SES: Upper<br />

Middle<br />

Lower<br />

Language group: E<br />

A<br />

Xh<br />

Gender: Male<br />

Female<br />

SAMPLE 1 (N=204) SAMPLE 2 (N=180)<br />

65 (32%)<br />

47 (23%)<br />

64 (31%)<br />

28 (14%)<br />

68 (34%)<br />

93 (47%)<br />

43 (21%)<br />

99 (49%)<br />

45 (22%)<br />

60 (29%)<br />

113 (55%)<br />

91 (45%)<br />

66 (37%)<br />

34 (19%)<br />

54 (31%)<br />

26 (14%)<br />

58 (32%)<br />

84 (48%)<br />

38 (21%)<br />

97 (54%)<br />

33 (18%)<br />

50 (28%)<br />

106 (59%)<br />

74 (41%)<br />

Mean age range 71 months 71 months<br />

Percentages in the table cells have been rounded off to the nearest percentage. W = White;<br />

C = Coloured; B = Black; I = Indian; E = English; A = Afrikaans; Xh = Xhosa<br />

Table 7 provides a breakdown in percentages of Sample 1 and 2's age composition<br />

in two-month ranges. The mean age for both samples is 71 months. Furthermore, the least<br />

number of participants for both samples fell in the age range 82-83 months.<br />

Keppel (1991) stated that research results can be generalized to the larger<br />

population if subjects are selected randomly from the population. However random<br />

sampling is both an expensive and time consuming process (Kerlinger, 1986). Furthermore,<br />

the practical considerations of any study need to be taken into account before a sampling<br />

procedure is chosen. Statistical generalizations, which depend on random sampling, are<br />

often not justified, but the extension of findings to a broader class of subjects is determined<br />

primarily by the appropriateness of generalizations in a particular field of research. As<br />

stated by Keppel (1991) nonstatistical generalizations depend on knowledge of a particular<br />

research area. In view of the exploratory nature of the present study and the limited<br />

availability of resources and manpower, the researcher chose not to make use of random<br />

sampling. For this reason purposive sampling, a non-probability sampling procedure, was<br />

carried out (Downie & Heath, 1974).<br />

68

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