{'fraction_non_alphanumeric': 0.022451456310679612, 'fraction_numerical': 0.010922330097087379, 'mean_word_length': 6.1695652173913045, '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}}
An Examination of the Perceptions of Organizational Politics Model: Replication and Extension

This study examined the Perceptions of PoliticsModel (Ferris, Russ, & Fandt, 1989) in a three-phaseprocess. In the first phase, the model was examinedusing Anderson and Gerbing's (1988) two-step approach to structural equations modeling. Themodel was tested on data collected from 786 employees ofa state government agency and 469 employees of anelectric utility cooperative. Results from this phase indicated that the model had acceptablefit and was more parsimonious than any of the competingmodels to which it was compared. In the second phase,understanding as a moderator of the relationships between perceptions of organizational politicsand several outcome variables was examined. Resultsindicated that understanding only moderated the outcomerelationship between politics and job satisfaction, not intent to turnover or job anxiety. Finally,in phase three, the additional outcome variables oforganizational satisfaction, supervisor effectiveness,and self-reported individual performance were included in an effort to expand the Ferris et al. (1989)framework. Additionally, the moderating effects ofunderstanding on the relationships between perceptionsof politics and these new outcome variables were explored. Results from the final step indicatedthat adding the new outcome variables increased theparsimonyof the model without decreasing model fit. Withrespect to the moderating effects, only thepolitics-performance relationship was moderated byunderstanding.Allof these results are discussed in light of theirimplications for future research.