Multinomial Logistic Regression with SPSS
ثبت نشده
چکیده
Subjects were engineering majors recruited from a freshman-level engineering class from 2007 through 2010. Data were obtained for 256 students. The outcome variable of interest was retention group: Those who were still active in our engineering program after two years of study were classified as persisters. Those who were no longer in our engineering program were classified as having left in good standing (LGS) if at the time of their departure their college grade point average (GPA) was at least 2.0, or as having left in poor standing if their GPA was less than 2.0. Multinomial logistic regression was employed to investigate the relationship between persistence and SAT scores (Verbal and Mathematics), calculus readiness test scores (ALEKS), high school GPA, the NEO FiveFactor Inventory (NEO-FFI) and the Nowicki–Duke Locus of Control Scale (ND–LOC).
منابع مشابه
Multinomial logistic regression
Multinomial logistic regression is the extension for the (binary) logistic regression when the categorical dependent outcome has more than two levels. For example, instead of predicting only dead or alive, we may have three groups, namely: dead, lost to follow-up, and alive. In the analysis to follow, a reference group has to be chosen for comparison, the appropriate group would be the alive, i...
متن کاملModelling on Mode Choice Behavior of Rural Middle Class Residents – An Activity Based Approach
Since the beginning of civilization, the viability and economic success of communities have been, to a major extent, determined by the efficiency of the transportation infrastructure. Travel demand models are used for this purpose. Mode choice behavior is a fundamental element of travel behavior. It is the demand for activities that produces the demand for travel. In other words the need or des...
متن کاملBayesian Multinomial Logistic Regression for Author Identification
Motivated by high-dimensional applications in authorship atttribution, we describe a Bayesian multinomial logistic regression model together with an associated learning algorithm.
متن کاملJohn E. Kolassa
This paper addresses the problem of inference for a multinomial regression model in the presence of likelihood monotonicity. This paper proposes translating the multinomial regression problem into a conditional logistic regression problem, using existing techniques to reduce this conditional logistic regression problem to one with fewer observations and fewer covariates, such that probabilities...
متن کاملپایش پروفایل با پاسخ چند رسته ای اسمی
In certain statistical process control applications, quality of a process or product can be characterized by a function between response variable and one or more independent variables. This function commonly referred to as profile. Response variable can be continuous or discrete. All of the research assumes that the response variable is continuous. Whereas, some of the potential applications of...
متن کامل