The construct of work commitment: Testing an integrative framework

This dissertation meta-analytically examined the expansive material associated with work commitment. Work commitment, a multidimensional construct, encompasses the level of involvement an employee has with his or her work, organization, job, career, and union (Morrow & Goetz, 1998). Each of the dimensions of work commitment has been further divided into a number of subdimensions. The primary purpose of this study was to (1) cumulate the correlations found among each of the dimensions of work commitment to see which, if any, were intercorrelated, and to (2) determine the impact of work commitment dimensions and subdimensions on specific outcome variables (job satisfaction, job performance, and turnover). ^ A number of interesting results stemmed from the 213 separate meta-analyses that were conducted. First, the evidence did not indicate that all of the subdimensions for each respective dimension were positively correlated. Specifically, there was not enough evidence to indicate that continuance organizational commitment was positively correlated with its other organizational commitment subdimensions. Future research might consider revamping the work commitment taxonomy so that all subdimensions that fall within a particular dimension are interrelated. It might be appropriate, therefore, to drop continuance organizational commitment from the work commitment taxonomy. Second, while most of the respective dimensions were interrelated, this was not the case across the board. For instance, there was no evidence of a significant positive relationship between organizational commitment and union commitment. In fact, the only significant relationship was negative between organizational commitment and belief in unionism. Further, there was no evidence of a positive relationship between union commitment and either work ethic endorsement or job involvement, respectively. These findings supported Morrow's (1993) rationale for excluding union commitment from the work commitment taxonomy. ^

Explaining the increase in coronary heart disease mortality in Syria between 1996 and 2006

Background Despite advances made in treating coronary heart disease (CHD), mortality due to CHD in Syria has been increasing for the past two decades. This study aims to assess CHD mortality trends in Syria between 1996 and 2006 and to investigate the main factors associated with them. Methods The IMPACT model was used to analyze CHD mortality trends in Syria based on numbers of CHD patients, utilization of specific treatments, trends in major cardiovascular risk factors in apparently healthy persons and CHD patients. Data sources for the IMPACT model included official statistics, published and unpublished surveys, data from neighboring countries, expert opinions, and randomized trials and meta-analyses. Results Between 1996 and 2006, CHD mortality rate in Syria increased by 64%, which translates into 6370 excess CHD deaths in 2006 as compared to the number expected had the 1996 baseline rate held constant. Using the IMPACT model, it was estimated that increases in cardiovascular risk factors could explain approximately 5140 (81%) of the CHD deaths, while some 2145 deaths were prevented or postponed by medical and surgical treatments for CHD. Conclusion Most of the recent increase in CHD mortality in Syria is attributable to increases in major cardiovascular risk factors. Treatments for CHD were able to prevent about a quarter of excess CHD deaths, despite suboptimal implementation. These findings stress the importance of population-based primary prevention strategies targeting major risk factors for CHD, as well as policies aimed at improving access and adherence to modern treatments of CHD.

The State of our Toolbox: A Meta-analysis of Reliability Measurement Precision

My study investigated internal consistency estimates of psychometric surveys as an operationalization of the state of measurement precision of constructs in industrial and organizational (I/O) psychology. Analyses were conducted of samples used in research articles published in the Journal of Applied Psychology between 1975 and 2010 in five year intervals (K = 934) from 480 articles yielding 1427 coefficients. Articles and their respective samples were coded for test-taker characteristics (e.g., age, gender, and ethnicity), research settings (e.g., lab and field studies), and actual tests (e.g., number of items and scale anchor points). A reliability and inter-item correlations depository was developed for I/O variables and construct groups. Personality measures had significantly lower inter-item correlations than other construct groups. Also, internal consistency estimates and reporting practices were evaluated over time, demonstrating an improvement in measurement precision and missing data.