How to Deal With Missing Data
Download as PPTX, PDF0 likes249 views
The document discusses methods for handling missing responses in survey data, highlighting three approaches: removing non-responses, replacing missing values with mean/median/mode, and using multiple imputation. It emphasizes the importance of assessing the scope of missing data and considering committee preferences before deciding on a method. Additionally, it offers consulting services for dissertation support.
How to Deal With Missing Data
- 1. How to Deal with Missing Responses Justin D’Souza Quantitative Specialist
- 2. Table of Contents Statistics Solutions Services How to Deal With Missing Response SPSS Demo Summary Need help with your dissertation? Call 727-442-4290
- 3. Services Offered by Statistics Solutions • Topic Development • Prospectus or Concept Papers • Introduction Chapter • Literature Review Chapter (identifying articles) • Methodology Chapter (Quantitative/Qualitative). • IRB forms • Data entry templates • Survey Monkey upload • Results Chapter (Quantitative/Qualitative) • Discussion Chapter • Powerpoints for Defense • Journal Publications Need help with your dissertation? Call 727-442-4290
- 4. Three Methods 1) Remove non-responses altogether - can try avoiding this by making every question mandatory in an online survey. 2) Median, mean, mode replacement - swaps the missing values with the mean, median, or mode of each variable. 3) Multiple imputation – uses regression models to predict missing values. Need help with your dissertation? Call 727-442-4290
- 5. Method 1: Removing Non-Responses If participants do not respond to a majority of the questionnaire, you can consider removing these non-responses altogether. This is the method to follow if you far exceed the minimum sample size target for your research and you have room to eliminate cases. Need help with your dissertation? Call 727-442-4290
- 6. Method 2: Replacing Missing Values with Mean/Median Can consider using mean, median, or mode replacement. Mean replacement can be used for continuous-level variables. Median replacement can be used for ordinal-level variables. Mode replacement can be used for nominal-level variables. Need help with your dissertation? Call 727-442-4290
- 7. Method 3: Multiple Imputation Multiple imputation is a more complex procedure that can be used to predict missing responses. Need to have a more advanced version of SPSS to run multiple imputation. Need help with your dissertation? Call 727-442-4290
- 8. Summary Before running any analyses, scan the dataset to identify how many missing responses you are dealing with. Create a list of how many responses are missing. Determine if committee members have a preference for how to deal with missing responses. Eliminate missing cases, use mean/median/mode replacement, or use multiple imputation. Need help with your dissertation? Call 727-442-4290
- 9. Additional Support Statistics Solutions is a full-service dissertation consulting company providing graduate students timely, editorial support for their dissertations and scholarly projects For information about our services, receive a complementary 30-min consultation available Mon-Fri 9-5 ET Contact us at info@statisticssolutions.com Phone: 727-442-4290