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To ensure the 3 catfishing groups had been somewhat distinctive from the other person, an analysis that is one-way of ended up being carried out. Outcomes indicated there is a significant distinction between the 3 catfish teams for anxiety, F(2, 1082) = 16.32, p 2005 ). Later, the information came across a few presumptions: very first, binary logistic regression calls for that the end result adjustable be dichotomous; 2nd, the findings in logistic regression must certanly be separate from one another; 3rd, logistic regression assumes minimal multicollinearity among separate factors; and fourth, a sizable sample size (Menard, 2000 ). Finally, three logistic regression models had been tested. The model that is first whether sex had been a substantial predictor of catfishing status (for example., perpetrator, target). The model that is second whether sex and accessory avoidance had been significant predictors of catfish status. Finally, the 3rd model evaluated whether sex, avoidance, and accessory anxiety had been significant predictors of catfishing status.


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Dining Table 1. Descriptive data and crosstabulation of accessory proportions and online deception status that is dating.

Dining dining Table 2 presents the outcomes through the three logistic regression models, with sex, accessory avoidance, and attachment anxiety predicting the reality that individuals defined as 1 of 2 catfishing status teams: goals or even the blended number of perpetrators and both. Model 1 analyzes sex being a predictor of catfish status. Continue lendo