{'fraction_non_alphanumeric': 0.008130081300813009, 'fraction_numerical': 0.0, 'mean_word_length': 5.402597402597403, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Model and Measurement Methodology for Predicting Individual Consumer Choice

The authors describe a model and measurement methodology by which to predict the probability that an individual consumer will choose a product from an offered set of competing products. After a brief review of alternative approaches, they use a simple example to illustrate the proposed methodology. They demonstrate the empirical validity of the methodology by using data from an experiment in repetitive choice.