How to import, code and analyze 5 point LIKERT SCALE ITEMS from Google form into SPSS

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  • Опубліковано 12 вер 2024
  • To import, code, and analyze Likert scale data from Google Forms into SPSS, follow these steps:
    1. Export Data from Google Forms:
    - After collecting responses, go to the Google Forms Responses tab.
    - Click on the Google Sheets icon to view the responses in a spreadsheet.
    - Download the spreadsheet as a .csv file by selecting File -Download Comma Separated Values (.csv).
    2. Import Data into SPSS:
    - Open SPSS and go to File - Open - Data.
    - Select the .csv file you downloaded and click Open.
    - Ensure that the first row in the import options is set as variable names.
    3. Coding the Likert Scale:
    - If your Likert scale items are not already numerically coded (e.g., "Strongly Agree" as 5), you’ll need to recode them.
    - In SPSS, go to Transform - Recode into Different Variables....
    - Select the Likert scale variable, give it a new name, and click Old and New Values.
    - Enter the old (text) values and the corresponding new (numeric) values. Click 'Add' after each one.
    - Click `Continue` and then `OK` to create the recoded variable.
    4. Analyzing Likert Scale Data
    - Descriptive Statistics: Go to Analyze - Descriptive Statistics - Frequencies to get a frequency distribution for each Likert item.
    - Reliability Analysis: To check the internal consistency of the scale, go to Analyze - Scale -Reliability Analysis and select Cronbach’s Alpha.
    - Factor Analysis: If you want to explore underlying dimensions, use Analyze - Dimension Reduction - Factor`.
    5. Interpreting Results
    - Interpret the descriptive statistics to understand the central tendency (mean) and variability (standard deviation) of responses.
    - Use the Cronbach’s Alpha result to assess the reliability of your scale (α greater than 0.7 is generally considered acceptable).
    - Factor analysis can help you identify underlying constructs represented by your Likert scale items.

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