CHAPTER III RESEARCH METHOD. method the major components include: Research Design, Research Site and

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CHAPTER III RESEARCH METHOD This chapter presents the research method and design. In this research method the major components include: Research Design, Research Site and Access, Population and Sample, Instrumentation, Reliability and Validity, Data Collection, and Data Analysis. 3.1 Research Design This research design is the way to complete the data and search the result of this study. In this study, the researcher wanted to know the influence of gender on foreign language anxiety in speaking class. The researcher used survey study with quantitative method because the data in this research in number or ordinal. According to Creswell (2003), quantitative research as a type of research that is explaining phenomena by collecting numerical data that are analyzed using mathematically based methods. In this research, researcher concerned on some variables such as level of foreign language anxiety and factors of foreign language anxiety that contribute between male and female students in speaking class. 3.2 Research Site and Access The research site for this research was at English Department of Jambi University. Scientifically, researcher conducted this researach in this site because there was no research have been done before and very interested to try this issue. The researcher chose this site because researcher thought that it was easy to found

the data which support the research in English Department of Jambi University. Another reason researcher chose this site was researcher easy to access this place and familiar with some second semester students of English Education Program Study of Jambi University. 3.3 Population and Sample 3.3.1 Population Population was all subjects in a study that will be surveyed. In this research, the population was all of second semester students of English Education Program Study of Jambi University. The total population of this research was 96 students which consist of four classes A-B and H-I. Class Female Male A Class 23 students 8 students B Class 25 students 7 students H Class 14 students 2 students I Class 14 students 3 students Total 76 students 20 students Table 3.1- Total population 3.3.2 Sample Sample is a part of population that surveyed. Researcher used total sampling as technique sampling. Total sampling is technique sampling where total

of sample same with population (Sugiyono, 2012). Researcher took all of population as sample - that was four classes of second semester students. All of students can be respondent in this research. There were 20 male students and 76 female students. Researcher chose H Class as subject to do pilot study that consists of 16 students. There were only 80 students who participated in this research; there were 62 female students and 18 male students. The big difference of respondents number in terms of gender was because more female students were took the speaking course. 3.4 Instrumentation In this research, the researcher used an instrument to help in collecting the data of research. This research used Questionnaire about FLSAS (Foreign Language Speaking Anxiety Scale) developed by Balemir (2009) that used to measure level of foreign language anxiety and find out factor of foreign language anxiety that contribute between male and female students. There were three levels of foreign language anxiety: low, moderate, and high anxiety. Less than 65 points indicate low language anxiety, 65-80 points indicate moderate language anxiety and more than 80 points indicate high anxiety. The items of questionnaires were also used to find out factors of foreign language anxiety: Factors of Foreign Language Anxiety Number of Items English Classroom Speaking Anxiety 1, 3, 8, 19, 23 and 25 Psychological Anxiety 14 and 18

Fear of oral test 5, 6, 7, 10, 12, 15, 17 and 20 Competitive Attitude in Speaking Class 2, 11, and 24 Social Factor 13 and 16 Teacher Persuaded Language Anxiety 4, 9, 21 and 22 Table 3.2- Factor of Foreign Language Anxiety 3.5 Reliability and Validity In quantitative research, it is important to get and show the reliability and validity from the data. Validity is measurement that is showing the validity level of the instrument (Arikunto, 2006). There are 3 kinds of validity; they are content validity, face validity, and convergent validity. Researcher used content validity in this research. According to Cohen et.al (2011), Content validity is how the instrument must show that it fairly and comprehensively covers the domain or items that it purports to cover. There was some revision to the questionnaire such as in wording of items. The questionnaire was distributed to 16 students in H class to see its reliability. Reliability is very important of a test to get reliable product of measurement. Reliability shows the stability of the score when the test is used. Researcher used instrument such as questionnaire to measure level of anxiety that adapted by Balemir (2009). To measure reliability in this research, researcher used Cronbach's alpha coefficient. The Cronbach s alpha for these questionnaire items was found as.816, suggesting very good internal consistency reliability for the scale.

The Cronbach s alpha for six factors of foreign language anxiety ranging from 0.6-0.7 as shown in table 3.3. the Cronbach s alpha values for all the six factors exceeded the minimum acceptance level of 0.612 as stated by Sutrisno (1992, cited in Hidayah, 2010) it can be inferred reliable and have high interpretation coefficient. Factors of Foreign Language Anxiety Cronbach s alpha Coefficient English Classroom Speaking Anxiety 0.674 Psychological Anxiety 0.621 Fear of Oral Test 0.634 Competitive Attitude in Speaking Class 0.647 Social Factor 0.744 Teacher Persuaded Language Anxiety 0.612 Table 3.3- Cronbach s Alpha Coefficient for each factor This is the table of reliability interpretation coefficient (Sutrisno Hadi, 1992 as cited in Hidayah, 2010): Coefficient Interpretation 0.80 1.00 Very High 0.60 0.79 High 0.40 0.59 Moderate 0.20 0.39 Low 0.00 0.19 Very Low Table 3.4- Reliability Interpretation Coefficient

Item can be said reliable if r alpha is > r table, it means that the items are reliable, while if r alpha is < r table, it means that the items are not reliable. r alpha of questionnaire= 0.816 > 0.80, it means r alpha > r table, so item can be said reliable and have very high interpretation. 3.6 Data Collection The first step that researcher did when collecting data was making schedule about time and day to come to location of research. After that, researcher should ask permission to the lecturer who taught on that day and explained what that researcher did in the class. When researcher already got permission from the lecturer then researcher came to the class. Next, researcher gave questionnaire to the second semester students of English Education Program Study of Jambi University and then questionnaires distributed to all of respondents. Respondents should fill or give checklist for statement in the questionnaire. The questionnaire was developed by Balemir (2009) about Foreign Language Speaking Anxiety Scale (FLSAS). The participants asked to respond to the 25 FLSAS items referring to their feelings of foreign language speaking anxiety experienced during the speaking class. The responses were giving on a 5-point Likert scale, where 1 indicated strong disagreement, and 5 indicated strong agreement with a statement. 1= strongly disagree, 2= disagree, 3= neither agree nor disagree, 4= agree and 5= strongly agree which indicated the degree frequency of respondents. After the respondents finish the work to answer the questionnaires about foreign language speaking anxiety, the researcher collected the questionnaires sheet from them.

3.7 Data analysis The data gathered from the questionnaire were analyzed by using some procedures. The researcher checked completely names of the respondents, checked the complement of the data and checked the content of data. Next, researcher changed the name of respondents become alphabet A-Z because it can easy if included to SPSS. Then, data analyzed run by using SPSS (Statistical Package for Social Sciences) for statistical analysis. Researcher used SPSS to calculating or input the data because the researcher used quantitative method and easy to analyzed data run by using SPSS. Then, the data analyzed to obtain descriptive statistics and independent sample t-test. Data analyzed using percentage, mean, and standard deviation. For first research question aimed to investigate the level of foreign language anxiety between male and female students. For first research question, researcher analyzed the data by using descriptive statistic, to find out gender give the level of foreign language anxiety in speaking class based on gender. The analysis for second research question did through independent sample t-test. Independent sample t-test was used to examine whether difference level between male and female students. For third research question, the descriptive statistic used to find out average mean score for each factor of foreign language anxiety. Then independent-samples t-test was used to examine if there was significance difference between male and female students in the dominant factor of foreign language anxiety.