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Diagnose the error in Clara's spreadsheet layout based on standard data file conventions. Explain why this layout will cause issues when importing into statistical software, and describe how she should restructure her spreadsheet to make it a valid data file.
Case context: A student researcher, Clara, is compiling data from a study on academic stress. In her spreadsheet, she lists the names of her variables ('Hours of Sleep' and 'Exam Score') in the first cell of each row, running the data points horizontally. She labels the columns with the names of the participants ('Participant 1', 'Participant 2', etc.) at the top.
Question: Diagnose the error in Clara's spreadsheet layout based on standard data file conventions. Explain why this layout will cause issues when importing into statistical software, and describe how she should restructure her spreadsheet to make it a valid data file.
Sample answer: Clara has reversed the standard layout of a research data file. Standard convention requires that each row represents a single participant and each column represents a specific variable, with variable names at the top of each column. Clara placed participants in columns and variables in rows. This non-standard format will fail during statistical analysis import because software expects each row to be an independent unit of observation (a participant). To fix this, she must transpose her spreadsheet so that participants are represented in rows, variables are represented in columns, and the variable names are at the top of the columns.
Key points:
- Diagnose that Clara put participants in columns and variables in rows.
- Explain that standard conventions require rows to be participants and columns to be variables.
- Identify that statistical software expects each row to represent a single unit of observation.
- Instruct the student to transpose the spreadsheet so variable names are at the top of the columns.
Rubric: The response must identify that Clara swapped the standard positions of participants and variables (placing participants in columns and variables in rows). It must explain that statistical software expects rows to represent participants and columns to represent variables. Finally, it must propose transposing the data to place variables in columns with headers at the top, and participants in rows.
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Research Methods in Psychology - 4th American Edition @ KPU
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