Learning Motivation Description of the Special Data

Figure 5. Perceptions of Students of Teacher Performance inclination Pie Chart.

c. Learning Motivation

Learning Motivation variable data was obtained via the questionnaire which consists of 18 item questions with number of respondents were 96 students. There are 4 alternative answers where the highest score was 4 and the lowest score 1. Based on the Learning Motivation variables data analysis using SPSS Statistics, it can be obtained the highest score 65 and lowest score 36, with Mean M 49.833, median Me 50, the mode Mo 52, and the standard deviation SD of 6.199. To compile the distribution frequency of Learning Motivation the following steps was done: 1. Calculate the total of interval classes Total of interval classes k = 1 + 3.3 log n = 1 + 3.3 log 96 = 7.541 rounded to 8 2. Calculate the data range Total of interval classes k = highest data – lowest data = 65 – 36 = 29 3. Calculate class length Total of interval classes k = = = 3.625 rounded to 4 Table 14. Distribution of Learning Motivation distribution Sources: processed primary data Based on frequency distribution table is the Motivation of Learning can be described as the following histogram: No. Interval F 1. 36.0-39.62 3 3.125 2. 39.62-43.25 13 13.541 3. 43.26-46.87 13 13.541 4. 46.87-50.5 21 21.875 5. 50.6-54,12 25 26.047 6. 54.12-57.75 10 10.417 7. 57.76-61.37 8 8.333 8. 61.37-65.0 3 3.125 Total 96 100 Figure 6. Frequency distribution histogram Motivation Learning Learning Motivation variables categorization was using ideal criteria score is. The calculation was as follows: Total items = 18 Mi = 65 + 18 = 41.5 scoring = 1 – 4 Sdi = 65 – 18 = 7.833 X min i = 18 x 1 = 18 Rounded to 8 X max i = 18 x 4 = 72 Next, Learning Motivation variables were classified into 4 categories of variable inclination that is very high, high, low, and very low. As for this inclination of the Learning motivation was based 4 category with the following conditions Djemari Mardapi, 2008: 123 Table 15. Categories Learning Motivation Variables No. Formula Limitation Category 1. X ≥ M + 1.5 SD X ≥ 53.5 Very High 2. M ≤ X M + 1.5 SD 41,5 ≤ X 53.5 High 3. M – 1.5 SD ≤ X M 40 ≤ X 41.5 Low 4. X ≤ M – 1.5 SD X 40 Very Low Refers to the calculated categories of inclination, then the distribution of Learning Motivation category can be shown in the following table. Table 16. Categories of Learning Motivation Inclination No. Scor Frequency Category Absolute Relative 1. X ≥ 53.5 46 47.917 Very High 2. 41.5 ≤ X 53.5 34 35.417 High 3. 40 ≤ X 41.5 13 13.541 Low 4. X 40 3 3.125 Very Low Total 96 100 The table above shows that the very high category was 46 47.917, high category was 34 35.417, lower category was 13 13,541, and the category very low was 3 3,125. It can be concluded that the Learning Motivation variables included in the very high category was 47.917. Based on the distribution of Learning Motivation variables frequency trend of above can be illustrated in the following Pie Chart Figure 7. Learning Motivation inclination Pie Chart

3. Analysis Prerequisite Test

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