SPSS Data Analysis Support Project
Siraj Hasan
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Posted Oct 12, 2024
I assisted with SPSS for data analysis, focusing on data cleaning, variable recoding, statistical tests, and report generation. Challenges included data quality
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Challenges Data Quality Issues:
The raw data contained numerous inconsistencies and missing values that must be addressed before analysis. Complex Variable Recoding: Certain variables required intricate recording to fit the analysis model, which was challenging due to the data's complexity. Statistical Test Selection: Identifying and running the appropriate statistical tests for various data sets posed a challenge, especially with diverse data requirements.
Report Clarity:
Generating comprehensive reports that effectively communicated the analysis results to stakeholders was critical.
Solutions Data Cleaning Techniques:
Employed advanced data cleaning techniques to handle missing values, outliers, and inconsistencies, ensuring high-quality data for analysis. Strategic Recoding: Implemented systematic variable recoding strategies to transform data variables, facilitating robust statistical analysis accurately.
Expert Statistical Analysis:
Leveraged deep statistical knowledge to select and run the most appropriate tests, ensuring accurate and relevant results. Effective Reporting: Created detailed, easy-to-understand reports with visual aids and clear explanations, effectively conveying the analysis outcomes to stakeholders.