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PDF format - AU Journal - Assumption University of Thailand

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Research Results from the Study <strong>of</strong><br />

20 Tertiary Institutions in <strong>Thailand</strong><br />

Methodology And Survey Analyses<br />

Questionnaires<br />

A questionnaire consisting <strong>of</strong> 184<br />

questions on 28 pages was distributed<br />

to English language teaching staff in 20<br />

tertiary institutions in <strong>Thailand</strong>. In<br />

addition, a questionnaire consisting <strong>of</strong><br />

125 questions on 9 pages was<br />

distributed to students. The<br />

respondents answering the<br />

questionnaires were chosen by the<br />

Chairperson <strong>of</strong> the English Department<br />

or the Deans <strong>of</strong> the Faculty <strong>of</strong><br />

Humanity or the Faculty <strong>of</strong> Liberal<br />

Arts.<br />

Statistical Analyses <strong>of</strong> Both the<br />

Qualitative and the Quantitative<br />

Questionnaire Results<br />

T-test, Chi-square and Spearman<br />

Rho Rank Correlations are used where<br />

appropriate to analyse the results <strong>of</strong> the<br />

questionnaire. T-test is used because it<br />

can be applied to samples <strong>of</strong><br />

unrestricted sizes. The test is used to<br />

measure the means <strong>of</strong> two independent<br />

groups. However, in these cases, the<br />

same sets <strong>of</strong> questionnaires are used for<br />

different subjects, that is (1) lecturers<br />

from private and state institutions; and<br />

(2) students from private or state<br />

institutions. The results <strong>of</strong> the<br />

questionnaires match the assumptions<br />

underlying the use <strong>of</strong> t-test:<br />

1. the scores in each group are<br />

normally distributed and<br />

2 the variances for the scores <strong>of</strong><br />

the two groups are equal.<br />

(Myers & Well, 1991, p. 66).<br />

T-test is used in this study to<br />

compare questions where ranking is<br />

involved and the means differences are<br />

examined (for both lecturers’ and<br />

students’ questionnaires).<br />

Chi-square test <strong>of</strong> independence is<br />

used, for questions requiring Yes/No<br />

answers, to test hypotheses about<br />

proportions based on the frequencies <strong>of</strong><br />

the different categories <strong>of</strong> observational<br />

units observed in the sample. This is to<br />

determine whether or not a significant<br />

difference exists between the observed<br />

number <strong>of</strong> cases and the expected<br />

number <strong>of</strong> cases, that is, whether two<br />

variables are related or independent<br />

(Runyon & Haber, 1988, p. 417). A<br />

fundamental assumption in the use <strong>of</strong><br />

chi-square is that each observation or<br />

frequency is independent <strong>of</strong> all other<br />

observations (Runyon & Haber, 1988,<br />

p. 417).<br />

Spearman rho rank-order (or rankdifference)<br />

correlation coefficient is<br />

used with ordinal data (rank ordered)<br />

items for all the questionnaires in this<br />

study. However the data in these<br />

questionnaires are interval rather than<br />

ordinal in nature. The data size for the<br />

questionnaires used in this study is<br />

greater than the specified size <strong>of</strong> 30<br />

necessary for the application <strong>of</strong> this

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