{'fraction_non_alphanumeric': 0.01794453507340946, 'fraction_numerical': 0.0, 'mean_word_length': 5.395833333333333, '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}}
Comparison of Two Strategies for Collecting Q-Sort Data

Factor analysis is frequently a useful research methodology, particularly when it is applied in validity studies or as a prelude to various analysis of variance procedures and their analogues. This study compared two strategies for implementing one factor analytic technique, Q-technique factor analysis. The results suggest that the data-collection strategy which is employed can dramatically affect results. It is argued that a mediated-ranking procedure should be preferred over a conventional-sorting procedure because the data should be more reliable.