Investigating Computer Self-Efficacy with Students in COBOL Programming

The theory of self-efficacy (Bandura, 1982) has been used in the field of Information Systems to test its predictive nature of computing outcomes (Compeau & Higgins, 1995, Gist, Schwoerer & Rosen, 1989; Murphy, Coover & Owen, 1989). It has been shown to be a successful measure of performance and indeed, is now perceived as a “practical indicator of student computer competency” (Karsten & Roth, 1998). This study attempts to further quantify and qualify such a measure and investigates the degree to which self-efficacy can be manipulated. Additionally, it has been traditionally thought that programming maintenance is more difficult when a programmer must modify someone else’s program rather than his or her own. This study also investigates this phenomenon within the context of self-efficacy. Findings show that self-efficacy is an important indicator of outcome performance and that it can be artificially manipulated. Some surprising results occurred when students were asked to modify someone else’s code

Using Giving Voice to Values to Improve Student Academic Integrity in Information Technology Contexts

Academic integrity continues to be a concern for universities and faculty. Yet practical methods for conveying ethical behavior can be difficult to achieve. This study uses the multidimensional ethics scale to gain insight into three situations involving students. The findings from those scenarios are then framed using the Giving Voice to Values ethics pedagogy in order to provide common rationales given by students and to create levers or arguments that can be used to combat the rationales. The common rationales and levers provided in this study, along with the scenarios, can be used as teaching tools to promote ethical action among current students

The Information Technology Professional: A Two-wave Study of Factors Impacting Commitment and Satisfaction

In this paper, we present a two-wave study that examined the relationships between three independent variables (professional identification, psychological contract violation, and fairness) and three dependent variables (general satisfaction, satisfaction with the information technology (IT) profession, and affective commitment to the IT profession). The constructs analyzed pertain to the IT workforce and represent areas where the literature has provided conflicting results with regard to the nature of the relationships. Due to the lack of consistency related to causality among these variables, we used 10 separate canonical correlation models to analyze the responses from two surveys distributed across three years. Results consistently revealed a significant relationship between perceived psychological contract violation and fairness with the dependent constructs related to satisfaction (general, and with the IT profession). Both gender and tenure in the IT profession played a role in the identification process for this group of individuals. We present and discuss additional findings along with limitations and directions for future research

E-profiles, Conflict, and Shared Understanding in Distributed Teams

In this research, we examine the efficacy of a technological intervention in shaping distributed team members’ perceptions about their teammates. We argue that, by exposing distributed team members to electronic profiles (e-profiles) with information emphasizing their personal similarities with one another, distributed teams should experience lower levels of relational and task conflict. In turn, reductions in conflict should facilitate a shared understanding among team members, which should increase their team effectiveness. The results of a laboratory experiment of 46 distributed teams generally support these assertions. Specifically, we found that a simple, technological intervention can reduce task conflict in distributed teams, which, in turn, improves shared understanding and team effectiveness. We also uncovered important differences in the antecedents and impacts of relational and task conflict. Although we found that the e-profile intervention was effective in accounting for variance in task conflict (R2 = .41), it was quite poor in accounting for variance in relational conflict (R2 = .04). The model accounts for 33% and 43% of the variance in shared understanding and team effectiveness, respectively. Taken together, the results of this research suggest that the information shared about team members in distributed team settings has important implications for their ability to collaborate, achieve a common understanding of their work, and accomplish their task effectively. We suggest that e-profiles may be a useful intervention for management to enhance effectiveness in distributed teams

Stroke Factors Associated with Thrombolysis Use in Hospitals in Singapore and US: A Cross-Registry Comparative Study

Background and Objectives: This paper aims to describe and compare the characteristics of 2 stroke populations in Singapore and in St. Louis, USA, and to document thrombolysis rates and contrast factors associated with its uptake in both populations. Methods: The stroke populations described were from the Singapore Stroke Registry (SSR) in -Singapore and the Cognitive Rehabilitation Research Group Stroke Registry (CRRGSR) in St. Louis, MO, USA. The registries were compared in terms of demographics and stroke risk factor history. Logistic regression was used to determine factors associated with thrombolysis uptake. Results: A total of 39,323 and 8,106 episodes were recorded in SSR and CRRGSR, respectively, from 2005 to 2012. Compared to CRRGSR, patients in SSR were older, male, and from the ethnic majority. Thrombolysis rates in SSR and CRRGSR were 2.5 and 8.2%, respectively, for the study period. History of ischemic heart disease or atrial fibrillation was associated with increased uptake in both populations, while history of stroke was associated with lower uptake. For SSR, younger age and males were associated with increased uptake, while having a history of smoking or diabetes was associated with decreased uptake. For CRRGSR, ethnic minority status was associated with decreased uptake. Conclusions: The comparison of stroke populations in Singapore and St Louis revealed distinct differences in clinicodemographics of the 2 groups. Thrombolysis uptake was driven by nonethnicity demographics in Singapore. Ethnicity was the only demographic driver of uptake in the CRRGSR population, highlighting the need to target ethnic minorities in increasing access to thrombolysis

Analysis of shared heritability in common disorders of the brain

ience, this issue p. eaap8757 Structured Abstract INTRODUCTION Brain disorders may exhibit shared symptoms and substantial epidemiological comorbidity, inciting debate about their etiologic overlap. However, detailed study of phenotypes with different ages of onset, severity, and presentation poses a considerable challenge. Recently developed heritability methods allow us to accurately measure correlation of genome-wide common variant risk between two phenotypes from pools of different individuals and assess how connected they, or at least their genetic risks, are on the genomic level. We used genome-wide association data for 265,218 patients and 784,643 control participants, as well as 17 phenotypes from a total of 1,191,588 individuals, to quantify the degree of overlap for genetic risk factors of 25 common brain disorders. RATIONALE Over the past century, the classification of brain disorders has evolved to reflect the medical and scientific communities' assessments of the presumed root causes of clinical phenomena such as behavioral change, loss of motor function, or alterations of consciousness. Directly observable phenomena (such as the presence of emboli, protein tangles, or unusual electrical activity patterns) generally define and separate neurological disorders from psychiatric disorders. Understanding the genetic underpinnings and categorical distinctions for brain disorders and related phenotypes may inform the search for their biological mechanisms. RESULTS Common variant risk for psychiatric disorders was shown to correlate significantly, especially among attention deficit hyperactivity disorder (ADHD), bipolar disorder, major depressive disorder (MDD), and schizophrenia. By contrast, neurological disorders appear more distinct from one another and from the psychiatric disorders, except for migraine, which was significantly correlated to ADHD, MDD, and Tourette syndrome. We demonstrate that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine. We also identify significant genetic sharing between disorders and early life cognitive measures (e.g., years of education and college attainment) in the general population, demonstrating positive correlation with several psychiatric disorders (e.g., anorexia nervosa and bipolar disorder) and negative correlation with several neurological phenotypes (e.g., Alzheimer's disease and ischemic stroke), even though the latter are considered to result from specific processes that occur later in life. Extensive simulations were also performed to inform how statistical power, diagnostic misclassification, and phenotypic heterogeneity influence genetic correlations. CONCLUSION The high degree of genetic correlation among many of the psychiatric disorders adds further evidence that their current clinical boundaries do not reflect distinct underlying pathogenic processes, at least on the genetic level. This suggests a deeply interconnected nature for psychiatric disorders, in contrast to neurological disorders, and underscores the need to refine psychiatric diagnostics. Genetically informed analyses may provide important "scaffolding" to support such restructuring of psychiatric nosology, which likely requires incorporating many levels of information. By contrast, we find limited evidence for widespread common genetic risk sharing among neurological disorders or across neurological and psychiatric disorders. We show that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures. Further study is needed to evaluate whether overlapping genetic contributions to psychiatric pathology may influence treatment choices. Ultimately, such developments may pave the way toward reduced heterogeneity and improved diagnosis and treatment of psychiatric disorders

Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease

We identified rare coding variants associated with Alzheimer’s disease (AD) in a 3-stage case-control study of 85,133 subjects. In stage 1, 34,174 samples were genotyped using a whole-exome microarray. In stage 2, we tested associated variants (P<1×10-4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, an additional 14,997 samples were used to test the most significant stage 2 associations (P<5×10-8) using imputed genotypes. We observed 3 novel genome-wide significant (GWS) AD associated non-synonymous variants; a protective variant in PLCG2 (rs72824905/p.P522R, P=5.38×10-10, OR=0.68, MAFcases=0.0059, MAFcontrols=0.0093), a risk variant in ABI3 (rs616338/p.S209F, P=4.56×10-10, OR=1.43, MAFcases=0.011, MAFcontrols=0.008), and a novel GWS variant in TREM2 (rs143332484/p.R62H, P=1.55×10-14, OR=1.67, MAFcases=0.0143, MAFcontrols=0.0089), a known AD susceptibility gene. These protein-coding changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified AD risk genes. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to AD development

A novel Alzheimer disease locus located near the gene encoding tau protein

This is the author accepted manuscript. The final version is available from the publisher via the DOI in this recordAPOE ε4, the most significant genetic risk factor for Alzheimer disease (AD), may mask effects of other loci. We re-analyzed genome-wide association study (GWAS) data from the International Genomics of Alzheimer's Project (IGAP) Consortium in APOE ε4+ (10 352 cases and 9207 controls) and APOE ε4- (7184 cases and 26 968 controls) subgroups as well as in the total sample testing for interaction between a single-nucleotide polymorphism (SNP) and APOE ε4 status. Suggestive associations (P<1 × 10-4) in stage 1 were evaluated in an independent sample (stage 2) containing 4203 subjects (APOE ε4+: 1250 cases and 536 controls; APOE ε4-: 718 cases and 1699 controls). Among APOE ε4- subjects, novel genome-wide significant (GWS) association was observed with 17 SNPs (all between KANSL1 and LRRC37A on chromosome 17 near MAPT) in a meta-analysis of the stage 1 and stage 2 data sets (best SNP, rs2732703, P=5·8 × 10-9). Conditional analysis revealed that rs2732703 accounted for association signals in the entire 100-kilobase region that includes MAPT. Except for previously identified AD loci showing stronger association in APOE ε4+ subjects (CR1 and CLU) or APOE ε4- subjects (MS4A6A/MS4A4A/MS4A6E), no other SNPs were significantly associated with AD in a specific APOE genotype subgroup. In addition, the finding in the stage 1 sample that AD risk is significantly influenced by the interaction of APOE with rs1595014 in TMEM106B (P=1·6 × 10-7) is noteworthy, because TMEM106B variants have previously been associated with risk of frontotemporal dementia. Expression quantitative trait locus analysis revealed that rs113986870, one of the GWS SNPs near rs2732703, is significantly associated with four KANSL1 probes that target transcription of the first translated exon and an untranslated exon in hippocampus (P≤1.3 × 10-8), frontal cortex (P≤1.3 × 10-9) and temporal cortex (P≤1.2 × 10-11). Rs113986870 is also strongly associated with a MAPT probe that targets transcription of alternatively spliced exon 3 in frontal cortex (P=9.2 × 10-6) and temporal cortex (P=2.6 × 10-6). Our APOE-stratified GWAS is the first to show GWS association for AD with SNPs in the chromosome 17q21.31 region. Replication of this finding in independent samples is needed to verify that SNPs in this region have significantly stronger effects on AD risk in persons lacking APOE ε4 compared with persons carrying this allele, and if this is found to hold, further examination of this region and studies aimed at deciphering the mechanism(s) are warranted

The Influence of Psychological Contracts and Burnout on IT Professionals’ Turnover and Turnaway Intention

Retaining valuable information technology (IT) professionals is still an issue for organizations and the IT profession. The changing business environment and the increased demand for IT professionals to innovate using new technologies and processes puts pressure on IT turnover intention researchers to adapt and innovate as well. Psychological contract and burnout theories are used to explore precursors to turnover and turnaway intention. We collected data from 247 experienced IT professionals across different organizations. We found that (1) burnout is a formative construct with three reflective dimensions: exhaustion, cynicism, and professional efficacy; (2) burnout impacts IT professionals’ turnaway intention more than turnover intention; and (3) burnout is positively related to psychological contract violation. Post-hoc analysis suggests that for non-married IT professionals, psychological contract breach influences psychological contract violation, but this is not the case for married IT professionals. Implications for research and practice are discussed