5 Questions
Q1 – In SPSS, if you specify a column as the data type 'string', what will the column accept?
Any type of user entry (letters and numbers)
Q2 – What is required when entering data from a repeated measures design with two conditions in SPSS?
The first column needs to be coded into the two conditions
Q3 – What is required when entering data from an independent samples design with two conditions in SPSS?
The data for the two conditions needs to be entered in two adjacent columns
Q4 – What happens if a column in SPSS is specified as the data type 'string' and only numbers are entered?
SPSS will delete that column as an error has been made
Q5 – What is the purpose of coding the first column in a repeated measures design in SPSS?
To ensure the data for the two conditions is entered in two adjacent columns
Study Notes
SPSS Data Types and Design Requirements
- A column specified as 'string' in SPSS accepts alphanumeric characters, including letters, numbers, and special characters.
Data Entry Requirements for Different Designs
- When entering data from a repeated measures design with two conditions in SPSS, each participant's data should be entered on a separate row, with multiple columns representing the different conditions.
- When entering data from an independent samples design with two conditions in SPSS, each group's data should be entered in separate rows, with a separate column indicating the group membership (e.g., 0 and 1).
Impact of Data Type on Data Entry
- If a column is specified as 'string' in SPSS and only numbers are entered, the numbers will be treated as strings, not as numerical values.
Coding in Repeated Measures Design
- Coding the first column in a repeated measures design in SPSS allows for identification of the participants and linking of their data across different conditions.
Test your knowledge on SPSS and data analysis with this quiz! Learn about specifying data types in SPSS and how it affects user entries. Discover how data from a repeated measures design with two conditions needs to be handled. Challenge yourself and improve your SPSS skills!
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