Analisis Data Penelitian Eksperimen Desain One Group Pretest-Postest

Summary

This video discusses the process of conducting experimental research using a sign-on group pretest-posttest design, where a single treatment group undergoes measurement both before and after the intervention. The focus is on analyzing data using SPSS to test for significant differences between pretest and posttest results. The example used is a study on group counseling with behavioral control techniques aimed at improving student discipline. The video highlights statistical hypotheses, significance testing, and how to interpret SPSS outputs to determine the effects of the treatment, including both parametric and nonparametric statistics.

Takeaways

• 😀 The experimental research uses a sign-on group pretest-posttest design with a single treatment group.
• 😀 The design involves two measurements: one before treatment (pretest) and one after treatment (posttest).
• 😀 The null hypothesis (H₀) is that there is no difference in student discipline before and after treatment.
• 😀 The alternative hypothesis (H₁) is that there is a significant difference in student discipline after the treatment.
• 😀 SPSS is used for data analysis, specifically for performing a paired sample t-test.
• 😀 A significance value of less than or equal to 0.05 indicates rejection of the null hypothesis and acceptance of the alternative hypothesis.
• 😀 Data for 15 participants is entered into SPSS for both pretest and posttest discipline scores.
• 😀 Descriptive statistics show a difference in discipline scores, which requires statistical testing to determine significance.
• 😀 If the p-value from the SPSS output is less than 0.05, the treatment is considered effective in improving discipline.
• 😀 Nonparametric tests, like the Wilcoxon signed-rank test, are used when data doesn’t meet parametric assumptions (e.g., normal distribution).
• 😀 The interpretation of SPSS output tables is crucial, with focus on the p-value to determine statistical significance and the effect of the treatment.

Q & A

What is the primary research design discussed in the transcript?

The primary research design discussed is the pretest-posttest design, specifically with a single treatment group and no control group.

What is the research question being explored in the study?

The research question explores whether group counseling with behavioral control techniques has an effect on improving student discipline at SMA X.

How is the data for this study collected and structured?

Data is collected from 15 students, with two measurements taken: a pretest score and a posttest score measuring student discipline before and after the group counseling treatment.

What statistical test is used to analyze the pretest and posttest data?

The paired sample t-test is used to analyze the pretest and posttest data, as both sets of measurements are taken from the same group of students.

What does the null hypothesis state in this type of study?

The null hypothesis states that there is no difference in student discipline values before and after the group counseling treatment.

What is the criterion for rejecting the null hypothesis in this research?

The null hypothesis is rejected if the significance value (p-value) obtained from the statistical test is less than or equal to the alpha level of 0.05.

How are the SPSS output results interpreted?

The SPSS output results are interpreted by comparing the significance value to the alpha level. If the significance is less than 0.05, the null hypothesis is rejected, indicating a significant effect of the treatment.

What happens if the data does not meet the assumptions for parametric tests?

If the data does not meet the assumptions for parametric tests (e.g., normality), a nonparametric test, such as the Wilcoxon signed-rank test, is used instead.

What does the paired sample t-test compare in the context of this study?

The paired sample t-test compares the pretest and posttest scores from the same group of students to determine if there is a statistically significant difference in their discipline scores after the treatment.

What is the conclusion if the p-value from the analysis is less than 0.05?

If the p-value is less than 0.05, the null hypothesis is rejected, and the alternative hypothesis is accepted, meaning that the group counseling with behavioral control techniques has a significant effect on improving student discipline.