UMD Theses and Dissertations
Permanent URI for this collectionhttp://hdl.handle.net/1903/3
New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.
More information is available at Theses and Dissertations at University of Maryland Libraries.
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Item Matchmaking or Information Leakage? Disclosure Benefits and Constraints of Corporate Job Advertisement Specificity(2018) Cao, Yi; Cheng, Shijun; Business and Management: Accounting & Information Assurance; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This study examines the benefits and constraints of a special form of corporate voluntary disclosure—job advertisements. Using a novel dataset of over 8 million recruiting advertisements posted by public companies, I follow taxonomy theories and create a continuous measure of information specificity, based upon the level of descriptive detail of skill requirements in job advertisements. Consistent with the theory that labor market disclosure mitigates search frictions, I find job advertisement specificity positively predicts employee satisfaction, productivity, and corporate accounting performance and negatively predicts employee turnover rate. My results further suggest that job advertisement specificity provides incremental information about human capital intangibles and improves the value-relevance of accounting numbers. I also show that the information specificity is constrained by product market competition. Together, my results suggest job advertisement is an important voluntary disclosure channel and that the content of job advertisements is informative to capital- and product-market participants.Item Mixed-format Test Equating: Effects of Test Dimensionality and Common-item Sets(2008-11-18) Cao, Yi; Lissitz, Robert; Measurement, Statistics and Evaluation; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)The main purposes of this study were to systematically investigate the impact of representativeness and non-representativeness of common-item sets in terms of statistical, content, and format specifications in mixed-format tests using concurrent calibration with unidimensional IRT models, as well as to examine its robustness to various multidimensional test structures. In order to fulfill these purposes, a simulation study was conducted, in which five factors - test dimensionality structure, group ability distributions, statistical, content and format representativeness - were manipulated. The examinees' true and estimated expected total scores were computed and BIAS, RMSE and Classification Consistency indices over 100 replications were then compared. The major findings were summarized as follows: First, considering all of the simulation conditions, the most notable and significant effects on the equating results appeared to be those due to the factor of group ability distributions. The equivalent groups condition always outperformed the nonequivalent groups condition on the various evaluation indices. Second, regardless of the group ability differences, there were no statistically and practically significant interaction effects among the factors of the statistical, content and format representativeness. Third, under the unidimensional test structure, the content and format representativeness factors showed little significant impact on the equating results. Meanwhile, the statistical representativeness factor affected the performance of the concurrent calibration significantly. Fourth, regardless of the various levels of multidimensional test structure, the statistical representativeness factor showed more significant and systematic effects on the performance of the concurrent calibration than the content and format representativeness factors did. When the degree of multidimensionality due to multiple item formats increased, the format representativeness factor began to make significant differences especially under the nonequivalent groups condition. The content representativeness factor, however, showed minimum impact on the equating results regardless of the increase of the degree of multidimensionality due to different content areas. Fifth, the concurrent calibration was not quite robust to the violation of the unidimensionality since the performance of the concurrent calibration with the unidimensional IRT models declined significantly with the increase of the degree of multidimensionality.