{'fraction_non_alphanumeric': 0.014787430683918669, 'fraction_numerical': 0.0030807147258163892, 'mean_word_length': 5.766666666666667, '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}}
Policy Diffusion of Performance Funding Equity Metrics: Traditional Neighbor and Dyadic Survival Analyses

While previous research on higher education policy diffusion often conceptualizes diffusion as occuring across neighboring governments, we conceptualize policy diffusion as also occuring across pairs of governments (dyads) regardless of geographic proximity. We apply both conceptualizations and use survival analysis techniques to examine factors associated with state adoption of performance funding equity metrics. Results show that the proportion of neighbors with equity metrics is unrelated to the likelihood of adopting a metric for either the 2- or 4-year sector, suggesting no evidence of policy diffusion across borders. The directed dyad analysis reveals that states are less likely to adopt a 4-year metric when the other state in the pair already operates a 4-year metric, indicating that states look beyond neighbors in policy avoidance behaviors. Internal state factors such as higher levels of legislative professionalism and greater enrollment of underrepresented minority and low-income students increase the likelihood of policy adoption. A state is less likely to imitate the adoption of 2-year equity metrics in another state when the pair show greater differences in legislative professionalism, minority and low-income student enrollment, income per capita, and income inequality. Our research highlights the utility of quantitatively modeling policy diffusion across governmental units that are distantly located, especially for higher education policy components that are nationally visible.