Jilong Shi, Fatima A Nasrallah, Xuechen Mao, Qin Huang, Jun Pan, Anmin Li
Characteristics of Resting-State Electroencephalogram Network in α-Band of Table Tennis Athletes
Brain sciences
discussions ordinal variables sociological literature debate suitability linear regression structural equation methods variables ordinal largely ignored discussions methods ordinal variables natural extensions probit logit models dichotomous variables ordinal variables discrete realizations unmeasured continuous variables methods allow one include ordinal dependent independent variables structural equation models way explicitly recognizes ordinality 2 avoids arbitrary assumptions scale 3 allows analysis continuous dichotomous ordinal variables within common statistical framework models rely assumed probability distributions continuous variables underly observed ordinal variables assumptions testable models estimated using number commonly used statistical programs illustrated empirical example ordered probit logit models like dichotomous counterparts take account ceiling andfloor restrictions models include ordinal variables whereas linear regression model empirical social research benefited past two decades application structural equation models statistical analysis causal interpretation multivariate relationships eg goldberger duncan 1973 bielby hauser 1977 structural equation methods mainly applied problems variables measured continuous scale reflection availability theories multivariate analysis general linear models continuous variables recurring methodological issue treat variables measured ordinal scale multiple regression structural equation methods would otherwise appropriate tools many articles appeared journal eg bollen barb