Classification of perception based on each respondent Classification of perception based on each statement Classification of perception based on total respondents

29 The researcher made some classification of students’ perception based on questionnaire results. The categories of making these classifications were based on the following consideration. • The maximum total score of totally agree was 88 4 x 22 items • The maximum total score of agree was 66 3 x 22 items • The maximum total score of disagree was 44 2 x 22 items • The maximum total score of totally disagree was 22 1 x 22 items The researcher made three classifications of students’ perception. The first classification was to measure the perception of each respondent. The second classification was to measure students’ response on each questionnaire statement while the third classification was to measure the perception of total respondents.

1. Classification of perception based on each respondent

From the total score of each questionnaire, the classification of student’s perception was described below, • 22 – 38 : very bad perception • 39 – 55 : bad perception • 56 – 72 : good perception • 73 – 88 : very good perception Therefore, it could be classified that the student had high or positive perception if hisher total score was x, where 56 ≤ x ≤88 and the student had low or negative perception if hisher total score was x, where 22 ≤ x ≤55. The researcher used this classification to choose four students to be interviewed. 30

2. Classification of perception based on each statement

The total response of each statement ranged from 100 if all the respondents answer “totally disagree” on the statement 1 x 100 respondents to 400 if all the respondents answer “totally agree” on the statement 4 x 100 respondents. The researcher analyzed the total response score of each statement in order to see whether the response was very bad, bad, good, or very good. The classification of students’ response ranges was described as follows. • 100 – 174 : very bad response • 175 – 249 : bad response • 250 – 324 : good response • 325 – 400 : very good response Therefore, it could be classified that the student had high or positive perception if hisher total score was x, where 250 ≤ x ≤400 and the student had low or negative perception if hisher total score was x, where 100 ≤ x ≤249. The classification was used to analyze the students’ perception based on responses in each statement in the Chapter IV.

3. Classification of perception based on total respondents

Furthermore, to conclude the students’ perception on the use of observation sheets in the Part I, the researcher analyzed total response score of all the respondents. The total response score ranged from 2200 if all the respondents answer “totally disagree” 1 x 22 items x 100 respondents to 8800 if all the respondents answer “totally agree” 4 x 22 items x 100 respondents. The 31 students’ perception on the use of observation sheets can be measured using the following interval. • 2200 – 3849 : very bad perception • 3850 – 5499 : bad perception • 5500 – 7149 : good perception • 7150 – 8800 : very good perception Very bad and bad perceptions were considered as negative perception while good and very good perceptions were considered as positive perception. Therefore, it could be classified that the student had high or positive perception if hisher total score was x, where 5500 ≤ x ≤8800 and the student had low or negative perception if hisher total score was x, where 2200 ≤ x ≤5499. The researcher presented the students responses score of Part I in the form of table. Afterwards, as the questionnaire data in Part I were all collected and processed, the researcher came to the second data in Part II that was open-ended questions results. The researcher first read all the students’ answer then did coding the data gathered into some categories. The percentages of students’ responses were presented in the table and discussed in the form of paragraphs. Then the researcher came to the last type of data, namely the interview results. Instead of using a tape recorder, the researcher also recorded the data in the table and finally triangulated them with the other data from the questionnaire results from both close-ended and open-ended questionnaires. 32

F. Research Procedure