چکیده:
This study used PGSI to measure the motives of online stock exchange gamblers
according to their responses about their online gambling. The main aim of the
current study is to holistically explore the impact of motivational factors that
motivate more usage of online gambling in Pakistan and behavioral factors that
investigate the level of implementation of responsible gambling practices on PGSI
in Pakistan’s online stock exchange gamblers. We collected data through
questionnaires and for analysis we used SEM, multiple regression and multinomial
logistic regression. Results indicated that motivational factors that significantly
impact PGSI are excitement, financial motivation, escape and relaxation and in
terms of responsible gambling practices, game design and transparent terms and
conditions are the key elements of behavioral factors while self-exclusion and selfhelp
(SE and SH) are not considered as significant factors.
خلاصه ماشینی:
"Regression 2: PGSI ൌ α TTCβଵ SESHβଶ GDβଷ e୧ In Regression 2, we used PGSI scores as predictors and results of SEM of behavioral factors as criterion variables where α refers to intercept which calculates the mean of the replies when dependent variables are 0 (zero); β delta tells us about the change in predictors when one unit changes in independent variables, PGSI stands for problem gambling severity index, TTC denotes transparent term and condition, SESH represents SE and SH, GD shows game design, and e signifies error term in the model.
MR1: p(View the image of this page) In Regression 1, we used PGSI categories as predictors and results of SEM of motivational factors as criterion variables where α refers to intercept which calculates the mean of the replies when dependent variables are 0 (zero), β delta tells us about the change in predictors when one unit changes in independent variables, PGSI stands for problem gambling severity index and E denotes excitements, RE shows escape and relaxation, and FM represents financial motivation, and e signifies error term in the model.
MR2:(View the image of this page)n this regression, we used PGSI categories as predictors and results of SEM of behavioral factors as criterion variables where α refers to intercept which calculates the mean of the replies when dependent variables are 0 (zero); β delta tells us about the change in predictors when one unit changes in independent variables, PGSI stands for problem gambling severity index, TTC denotes transparent term and condition, SESH represents SE and SH, GD shows game design and e signifies error term in the model."