Interview Data Collecting Techniques and Instruments
40 of learning English in ICE program, independent variable 3 the beliefs about the
nature of learning English, independent variable 4 the beliefs about learning communication strategies in ICE program, independent variable 5 the beliefs
about motivations in learning English in ICE program, independent variable 6 learner’s presence in class and the dependent variable is learner’s final score.
The following multiple linear regression equation will be used.
Y = estimated dependent variable, a = constant, b = regression coefficients and x = independent variables
A multiple linear regression requires simultaneous analysis using t-test. The significance could be found in the SPSS output. If the significance is below 5, it
indicates that there is an influence of learners’ beliefs towards ICE learners’ final scores dependent variable.
In a multiple linear regression analysis, test of significance t count and coefficient of determination R-squared would be presented. Test of significance
is used to prove that the six independent variables give impacts to learners’ final scores.
While R-squared or the determination of coefficient explains how well independent variables vary the dependent variable. It could be determined by
using the following formula.
Y = a + b1 X1 + b2 X2 + .... + bn Xn
t =
β
β
β
PLAGIAT MERUPAKAN TINDAKAN TIDAK TERPUJI
41 R-squared value advises some other variations to be analysed in the next
research. The last analysis was set from the interview result. The interview was conducted to 3 of ICE program learners. This chapter chose the interviewee based
on their performance in class. The dialogue was recorded and transcribed. The transcription supporting the analysis of the questionnaire was written as
supporting data.