Kettering University

About: Kettering University is a education organization based out in Flint, Michigan, United States. It is known for research contribution in the topics: RNA & Antigen. The organization has 6842 authors who have published 7689 publications receiving 337503 citations. The organization is also known as: GMI Engineering & Management Institute & General Motors Institute.

Factors Influencing Engineering Students' Decisions to Cheat by Type of Assessment

Abstract: Academic dishonesty (cheating) has been prevalent on college campuses for decades, and the percentage of students reporting cheating varies by college major. This study, based on a survey of 643 undergraduate engineering majors at 11 institutions, used two parallel hierarchical multiple regression analyses to predict the frequency of cheating on exams and the frequency of cheating on homework based on eight blocks of independent variables: demographics, pre-college cheating behavior, co-curricular participation, plus five blocks organized around Ajzen’s Theory of Planned Behavior (moral obligation not to cheat, attitudes about cheating, evaluation of the costs and benefits of cheating, perceived social pressures to cheat or not to cheat, and perceived effectiveness of academic dishonesty policies). The final models significantly predict 36% of the variance in “frequency of cheating on exams” and 14% of the variance in “frequency of cheating on homework”. Students don’t see cheating as a single construct and their decisions to cheat or not to cheat are influenced differently depending on the type of assessment. Secondary findings are that a student’s conviction that cheating is wrong no matter what the circumstances is a strong deterrent to cheating across types of assessment and that a student who agrees that he/she would cheat in order to alleviate stressful situations is more likely to cheat on both exams and homework.

Cytogenetic analysis of 434 consecutively ascertained specimens of non-Hodgkin's lymphoma: correlations between recurrent aberrations, histology, and exposure to cytotoxic treatment.

Abstract: Cytogenetic abnormalities in non-Hodgkin's Lymphoma (NHL) provide a model system for the analysis of the role of multiple genomic aberrations in human malignancy. In order to define correlations with histology, tumor evolution, and the effects of genotoxic exposure, cytogenetic analysis was performed on 434 specimens of NHL derived from 423 patients consecutively ascertained over a 5-year period (1984-1989). Six recurring translocations (RT) were observed: t(14;18)(q32;q21), t(8;14)(q24;q32), t(11;14)(q13;q32), t(3;22)(q27;11), t(2;5)(p23;q35), and t(1;6)(q21;q25). No translocation was specific to a single histologic subtype. Other structural chromosome abnormalities were analyzed according to break site; groups of related breaks were considered together for statistical analysis. Recurring other structural and numerical aberrations (ROA) encountered in greater than 10% of specimens included rearrangements with breaks at bands 1p32-36, 1q21-23, 6q21-25, and trisomies of chromosomes 7 and 12. ROA with one of these breaks or numerical abnormalities were the sole abnormalities in at least two cases. Correlations were observed among ROA and between ROA and histologic subtypes. Trisomy 7, breaks at 1q21-23, 1p32-36, 6q21-25, and 7q32 were associated with t(14;18); trisomy 18 was associated with trisomy 3; and structural abnormalities of chromosome 17 were associated with breaks at 1p32-36 and 6q21-25. Trisomy 7 and trisomy 12 were more frequent in t(14;18)-bearing intermediate to high grade tumors compared to low grade tumors. Trisomy 12 and breaks at band 1p22 were associated with large cell diffuse lymphomas. Incidence rates of reciprocal translocations, ROA, and measures of karyotypic complexity, including number of breakpoints and marker chromosomes were compared in pretreatment and posttreatment samples. Karyotypic complexity was greater in the posttreatment samples, reflecting an increased frequency of nonrecurring and low incidence aberrations. These results better define the association of genomic aberrations and tumorigenesis, histologic transformation, and tumor progression.