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  • Marketing - MaxDiff - Experimental Design (category Create Marketing)
    the MaxDiff Experimental Design in Q, select Create > Marketing > MaxDiff > Experimental Design. The following table contains an experimental design whereby
    10 KB (1,559 words) - 00:57, 21 August 2023
  • Marketing - MaxDiff - Hierarchical Bayes (category Create Marketing) (section Experimental Design)
    apply(md.design, 1, function(x) !all(is.na(x))) md.design <- md.design[keep, ] } max.diff <- FitMaxDiff(design = if(exists("formDesign")) formDesign else if
    19 KB (2,331 words) - 17:29, 28 August 2023
  • apply(md.design, 1, function(x) !all(is.na(x))) md.design <- md.design[keep, ] } max.diff <- FitMaxDiff(design = if(exists("formDesign")) formDesign else if
    18 KB (2,302 words) - 00:56, 21 August 2023
  • Marketing - MaxDiff - Multinomial Logit (category Create Marketing) (section Experimental Design)
    in the project in Design. Experimental design R output Select a MaxDiff design created with Marketing - MaxDiff - Experimental Design. Variables Provide
    18 KB (2,236 words) - 00:57, 21 August 2023
  • in the project in Design. Experimental design R output Select a MaxDiff design created with Marketing - MaxDiff - Experimental Design. Variables Provide
    15 KB (1,803 words) - 00:57, 21 August 2023
  • alternatives in Marketing - MaxDiff - Experimental Design. Version and Question columns added to Marketing - MaxDiff - Experimental Design, for consistency
    24 KB (3,072 words) - 23:26, 22 February 2021
  • your experimental design. For example: C:\\Chris\\Documents\\design.csv"); try { var design_file = project.addDataFile(file_name, 'MaxDiff Design', {col_names_included:
    17 KB (2,438 words) - 00:16, 2 May 2023
  • setting up a MaxDiff experiment is using Create > Marketing > MaxDiff > Analyze as a Ranking Question > MaxDiff Setup from an Experimental Design. However
    10 KB (1,337 words) - 18:23, 8 June 2023
  • Variable Added support to Marketing - MaxDiff - Hierarchical Bayes, Marketing - MaxDiff - Latent Class Analysis, and Marketing - MaxDiff - Multinomial Logit
    84 KB (10,645 words) - 06:37, 2 April 2024
  • parameters of the respondents: Design source The source of the experimental design. Choices include Data set, Experimental design R output, Sawtooth CHO format
    22 KB (2,577 words) - 00:57, 21 August 2023
  • Diagnostic > Experimental Design > Balances and Overlaps Diagnostic > Experimental Design > Balances and Overlaps of Design Diagnostic > Experimental Design > Standard
    23 KB (78 words) - 06:24, 9 March 2021
  • stringToRName(r_output.referenceName); let max_diff = menu_root === "Marketing > MaxDiff"; let cmodel_pkg = max_diff ? "flipMaxDiff" : "flipChoice"; switch(feature_name)
    29 KB (3,285 words) - 05:51, 5 March 2024
  • Bayes)"; case "FitMaxDiffLCA": return "Marketing > MaxDiff > Latent Class Analysis"; case "FitMaxDiffHB": return "Marketing > MaxDiff > Hierarchical Bayes";
    76 KB (9,454 words) - 22:56, 17 September 2023