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Proportional odds (ordinal) regression for likert scales in SPSS Video Lecture | SPSS: For Beginners - Data & Analytics

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00:44 Example: proportional odds model 1st pass of the output:
04:00 Model fit stats, parallel lines test;
06:32 Interpretation of the ""slope"" parameters (SPSS, Stata, R v SAS) 2nd pass:
12:05 Choice of link function affects the interpretation of the parameters; models with covariates, interactions;
14:23 Goodness of fit test: what if there is a high proportion of empty cells?
16:20 What if parallel assumption is not satisfied?
16:48 Where I am talking about binary logistic for B and C, I meant to say run a binary logistic for each of B and C choosing one rating value to divide the ratings into 2 groups (low, and high), then you can get the odds ratio by taking the ratio of the odds from each of B and C."
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Dec 23, 2024 Last updated
Video Description: Proportional odds (ordinal) regression for likert scales in SPSS for Data & Analytics 2024 is part of SPSS: For Beginners preparation. The notes and questions for Proportional odds (ordinal) regression for likert scales in SPSS have been prepared according to the Data & Analytics exam syllabus. Information about Proportional odds (ordinal) regression for likert scales in SPSS covers all important topics for Data & Analytics 2024 Exam. Find important definitions, questions, notes, meanings, examples, exercises and tests below for Proportional odds (ordinal) regression for likert scales in SPSS.
Introduction of Proportional odds (ordinal) regression for likert scales in SPSS in English is available as part of our SPSS: For Beginners for Data & Analytics & Proportional odds (ordinal) regression for likert scales in SPSS in Hindi for SPSS: For Beginners course. Download more important topics related with notes, lectures and mock test series for Data & Analytics Exam by signing up for free.
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Video Lecture & Questions for Proportional odds (ordinal) regression for likert scales in SPSS Video Lecture | SPSS: For Beginners - Data & Analytics - Data & Analytics full syllabus preparation | Free video for Data & Analytics exam to prepare for SPSS: For Beginners.
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Video Timeline
Video Timeline
arrow
00:44 Example: proportional odds model 1st pass of the output:
04:00 Model fit stats, parallel lines test;
06:32 Interpretation of the ""slope"" parameters (SPSS, Stata, R v SAS) 2nd pass:
12:05 Choice of link function affects the interpretation of the parameters; models with covariates, interactions;
14:23 Goodness of fit test: what if there is a high proportion of empty cells?
16:20 What if parallel assumption is not satisfied?
16:48 Where I am talking about binary logistic for B and C, I meant to say run a binary logistic for each of B and C choosing one rating value to divide the ratings into 2 groups (low, and high), then you can get the odds ratio by taking the ratio of the odds from each of B and C."
More
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