[PANDUAN 1 DARI 5] Analisis Data Kelas Eksperimen dan Kontrol untuk Skripsi dengan SPSS

Introduction

This tutorial provides a step-by-step guide on conducting data analysis for experimental and control groups using SPSS, based on the video by Sahid Raharjo. It is designed for students preparing their theses or research projects, offering insights into basic research concepts, data analysis methods, and practical applications with SPSS software.

Step 1: Understand Basic Research Concepts

Familiarize yourself with key terms

• Experimental Group: The group that receives the treatment or intervention.
• Control Group: The group that does not receive the treatment, used for comparison.
• Define the research question and hypothesis clearly.

Determine the variables you'll be analyzing

• Independent variables (those you manipulate).
• Dependent variables (those you measure for effect).

Step 2: Prepare Your Data for Analysis

• Collect your data, ensuring it’s organized in a format compatible with SPSS.

Download the dataset provided in the video from the link

• Download SPSS practice files

Input your data into SPSS

• Open SPSS and create a new dataset.
• Define variables in the Variable View (name, type, width, decimals, etc.).

Step 3: Conduct Descriptive Statistical Analysis

Access the Descriptive Statistics function

• Go to Analyze > Descriptive Statistics > Descriptives.
• Select the variables you wish to analyze and move them to the right box.
• Click on Options to choose additional statistics (mean, median, standard deviation) to include.
• Click OK to generate the output.

Step 4: Interpret the Results

• Review the output window for the results of your descriptive statistics.

Understand the significance of each statistic

• Mean: Average of your data points.
• Standard Deviation: Measure of variation or dispersion in your dataset.
• Identify any trends or patterns that emerge from your analysis.

Step 5: Visualize Your Data

Create visual representations of your findings

• Go to Graphs > Chart Builder.
• Choose the type of chart that best represents your data (bar chart, histogram, etc.).
• Drag and drop your variables into the appropriate boxes to form the chart.
• Customize your chart with titles and labels for clarity.

Conclusion

This tutorial has covered the essential steps for analyzing data from experimental and control groups using SPSS. By understanding research concepts, preparing your data, conducting descriptive statistical analysis, interpreting results, and visualizing findings, you are now better equipped to handle data analysis for your thesis. For further practice, consider exploring additional videos in the series or applying these techniques to your own research.