query: Correlate nominal/metric data with ordinal data?
positive_passages.docid: 16596
positive_passages.text: Correlation coefficient between a (non-dichotomous) nominal variable and a numeric (interval) or an ordinal variable
negative_passages.docid: 94509
negative_passages.text: Statistical methods for data where only a minimum/maximum value is known
negative_passages.docid: 24411
negative_passages.text: Aggregate / summarize multiple variables per group (e.g. sum, mean)
negative_passages.docid: 140124
negative_passages.text: The distance function on a metric space
negative_passages.docid: 147508
negative_passages.text: Ordinal trends and finding concordant and discordant pairs
negative_passages.docid: 14739
negative_passages.text: How can I rank observations in-group faster?
negative_passages.docid: 158091
negative_passages.text: Is there a system for creating words for ordinal numbers?
negative_passages.docid: 107310
negative_passages.text: How do I appropriately examine the dimensionality of binary data?
negative_passages.docid: 151415
negative_passages.text: How to standardize data for hierarchical clustering?
negative_passages.docid: 112758
negative_passages.text: Combining Bhattacharya Distance (or A Measure of Similarity) --- across Different Variables (Properties)
negative_passages.docid: 121218
negative_passages.text: Is this function a metric?
negative_passages.docid: 45299
negative_passages.text: User Rank -or- User Percentile Rating
negative_passages.docid: 112942
negative_passages.text: Checking Normality of Numerical, and Categorical Data
negative_passages.docid: 56550
negative_passages.text: How do you estimate correlations between ordinal and binary data in SPSS?
negative_passages.docid: 148414
negative_passages.text: Clustering unrelated (with no correlation) data
negative_passages.docid: 49614
negative_passages.text: which statistic should I use for inter-rater agreement on nominal data, multiple responses
negative_passages.docid: 5484
negative_passages.text: Creating an index of quality from multiple variables to enable rank ordering