In this video, I demonstrated how to use "Regression Base Imputation and Expectation-Maximization Algorithm" to fix missing data in a dataset as the two different methods I considered as the "Two Best Ways to Fix Missing Data in SPSS".

In this video, the illustrations are simplified and made easy to follow and replicate. So, I encourage you to see or watch this video to the end.

If the size of your dataset is not large, or if the length of your dataset is short, and trying to fix the missing data in it by deleting some rows or observation as necessary will reduce the size or length of your dataset, and might make you lose some useful information. So, using "REGRESSION BASE IMPUTATION (RBI) and EXPECTATION-MAXIMIZATION ALGORITHM (EMA) can help to preserve the size and length of your dataset and the inherent information without introducing outliers that can make the data bias.

So, regardless of the size of your data and the type of your data, always use RBI or EMA as the the best method to fix the missing data in your dataset.

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The following are some of the videos in my YouTube Channel.
Please, click on the links to see the video of your choice.
Analysis of Likert Scale Data as Interval Measure in SPSS:    • Analyze Likert Scale Data this way as...  
Analysis of Likert Scale Data as Ordinal Measure in SPSS:    • Analyze Likert Scale Data this way as...  
How to Load Likert Scale Data into SPSS (with emphasis on Value Labeling and Scale of Measure):    • Load Likert Scale Data into SPSS and ...  
Create Multiple Folders at Once:    • Create 100 Folders at Once  
Duncan Multiple Range Text in SPSS with Compact Letter Display:    • Duncan Multiple Range Test (DMRT) wit...  
Convert String to Numeric in Excel Spreadsheet before loading into SPSS:    • String to Numeric in Excel...How?  
Chi-Squared Statistical Test of independence in SPSS:    • Chi-Squared Test in SPSS  
Convert String to Numeric Variable in SPSS (Without Losing Data):    • Convert String to Numeric Variable in...  
Test of Multicollinearity of Data in SPSS:    • Test of Multicollinearity of Data in ...  
Regression Analysis in SPSS Part-2:    • Regression Analysis in SPSS Part 2  
Regression Analysis in SPSS Part-1:    • Regression Analysis in SPSS (Part 1)  
Introduction to SPSS Software for Beginners Part-1:    • Introduction to SPSS Software for Beg...  
Introduction to SPSS Software for Beginners Part-2:    • Introduction to SPSS Software for Beg...  
Merge Two Data Files in SPSS (Part-2):   • Merge Two Data Files in SPSS (Part-2)  
Merge Two Data Files in SPSS (Part-1):    • Merge Two Data Files in SPSS (Part 1)  
Introduction to SPSS Software for Beginners (Part-3):    • Introduction to SPSS Software for Beg...  
Analysis of Variance in SPSS (Effect size and Interpretations):    • Analysis of Variance in SPSS (Effect ...  
Test of Normality of Data in SPSS:    • Test of Normality of Data in SPSS  
Identify Outliers using Tukey's Hinges Approach in SPSS:    • Identify Outliers using Tukey's Hinge...  
Identifying Outliers in Dataset using Stem-and-leaf Plot and Boxplots in SPSS:    • Identify Outliers using Stem-and-leaf...  
Identify Outliers using Scattered Plots in SPSS:    • Identify Outliers using Scattered Plo...  
How to Perform and Interpret One Sample T-Test in SPSS:    • One Sample T-Test in SPSS and Interpr...  
Paired Sample T-Test in SPSS and Interpretations:    • Paired Sample T Test in SPSS and Inte...  
How to Perform Descriptive Statistics in SPSS:    • Descriptive Statistics in SPSS  
How to Perform Pearson’s Correlation Analysis:    • How to Perform Pearson's Correlation ...  
How to Calculate Pearson’s Correlation Coefficient by Hand, Interpret and Report Results in APA style:    • How to Calculate Pearson's Correlatio...  

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