N = number of cases the number of respondents Mean of each item was categorized into certain criteria. In order to categorize the
mean criteria, the ideal mean Mi and ideal standard deviation SDi should be obtained. Best 1970, p. 179 classifies the range of the point of agreement from
1-5.
7. Descriptive Statistics
Descriptive statistics was used to describe and summarize the data before conducting a hypothesis testing by using inferential statistics. The data that were
gathered from the students’ scores of the questionnaire and students’ GPA score were processed by using SPSS 16.0 program. This step was done to obtain the
range, minimum, maximum, mean and standard deviation scores followed by the
frequency chart of each variable. 8.
Inferential Statistics
Inferential statistic was used to test the research hypothesis. The pre- analysis tests were conducted before the statistical analysis was applied. In this
research, the pre-analysis tests consisted of normality and hypothesis test. The normality test was used to find out whether the data obtained the
research variables had a normal distribution of scores or not. In this research, the test used the Kolmogoroy-Smirnov test. If
p
value was higher than α 0.05, it meant that the scores had a normal distribution.
The hypothesis testing was used to answer the first research question. To test the hypothesis, the data were processed by using the statistic software of
SPSS 16.0. Attitude, discipline, and motivation aspect were set as the predictor variables. Learning success was set as the predicted variable. An analysis was
used to find out how the variables related. The technique of the analysis was a Multiple Regression. The Multiple Regression is also called as a multiple relation
consisting of two or more predictor variables. It is used to predict one predicted variable Bluman, 2009.
In this research, after analyzing, the quantitative data were presented in some tables and also graphs which including numbers. The table showed the
results of the statistical analysis of the multiple regressions to answer the research
question about the relation between attitude, discipline, motivation, and learning. 9.
Descriptive Qualitative
In this research, descriptive qualitative was used to analyze the qualitative data. Besides, it functioned as the qualitative description and interpretation of the
relation between attitude, discipline, motivation and learning success and to answer the second research question. The qualitative data were presented as the
supporting to the statistical correlation. According to Creswell 2012, qualitative data analysis consisted of six steps. They were preparing and organizing,
transcribing, exploring and coding, representing and reporting, interpreting, and validating the data.
The first step was preparing and organizing. The data that were obtained were prepared to be organized by reading and re-reading them. The data were
organized whether those would be organized based on the people, topic, or time period of the research. This step was done after reading the data for several times.
The second step was transcribing. The results from this step were interview transcriptions. “Transcription is the process of converting audiotape recordings or
field notes into text data.” Creswell, 2012:239. Since the data obtained for the PLAGIAT MERUPAKAN TINDAKAN TIDAK TERPUJI
