Structural Equation Modelling and Logistic regression Assignment

Structural Equation Modelling and Logistic regression - Assignment casefulWhile card remunerations were the main cashless mode of payment up to the beginning of the last decade, mobile silver payments have also emerged as a likeable payment method, mainly in fairly developing regions (Dahlberg, Mallat & Oorni, 2008). Other non-card payment methods include virtual money carriers, including Google Wallet, Skrill, and PayPal (Ayodele, Ayo & Adeyibi, 2013). Among the factors that appear pertinent towards adoption of any of these payment methods are ease of use, importance/ usefulness, risk/ security levels, and accessibility (Ayodele, Ayo & Adeyibi, 2013 Abubakar & Ahmad, 2013).According to Abubakar and Ahmad (2013), higher levels of awareness towards cashless payments chink to higher uptake levels. Ease of use is an important factor for adoption of cashless payments. Users (and potential users) with better familiarity of the cashless payment modes available in a particular region catalyse uptake levels. To them, usage of the methods is relatively easy (Ayodele, Ayo & Adeyibi, 2013). Similarly, intimacy of usefulness/ importance of such payment modes underscores their higher acceptability among persons with such knowledge (Ayodele, Ayo & Adeyibi, 2013).The sample comprised 320 respondents who were served with questionnaires to indicate their level of agreement with assertions made regarding ease of use of cashless payments system, trust in the cashless payments system, and usefulness of the same. The three variables used several questions for each, which were then aggregated to find each individuals second-rate rating of each variable. That is, the variable usefulness was obtained by averaging the ratings given per individual across the four questions rudimentary the variable the four responses denoting ease of use were averaged to obtain the variable and the ratings to the five questions underlying