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.

G. Trustworthiness

This chapter used triangulation to make the findings of this study trustworthy. Cresswell 2012: 259 stated that triangulation is ‘the process of corroborating evidence from different individuals e.g., a principal and a learner, types of data e.g., observational field notes and interviews, or methods of data collection e.g., documents and interviews in descriptions and themes in qualitative study.’ In other words, trustworthiness is a step to make the data valid and reliable. Triangulating the findings of this research, this chapter provided two different techniques to gather the data. Collecting quantitative data, this chapter analysed and interpreted the questionnaires as well as learners’ final scores. Besides the quantitative data, qualitative data was obtained from the interview. At the end, all he data from questionnaire and interview were analysed, compared, and crosschecked to make the interpretation trustworthy. R²=1 – ∑ ê ∑