17 research outputs found
Multidimensional signals and analytic flexibility: Estimating degrees of freedom in human speech analyses
Recent empirical studies have highlighted the large degree of analytic flexibility in data analysis which can lead to substantially different conclusions based on the same data set. Thus, researchers have expressed their concerns that these researcher degrees of freedom might facilitate bias and can lead to claims that do not stand the test of time. Even greater flexibility is to be expected in fields in which the primary data lend themselves to a variety of possible operationalizations. The multidimensional, temporally extended nature of speech constitutes an ideal testing ground for assessing the variability in analytic approaches, which derives not only from aspects of statistical modeling, but also from decisions regarding the quantification of the measured behavior. In the present study, we gave the same speech production data set to 46 teams of researchers and asked them to answer the same research question, resulting insubstantial variability in reported effect sizes and their interpretation. Using Bayesian meta-analytic tools, we further find little to no evidence that the observed variability can be explained by analysts’ prior beliefs, expertise or the perceived quality of their analyses. In light of this idiosyncratic variability, we recommend that researchers more transparently share details of their analysis, strengthen the link between theoretical construct and quantitative system and calibrate their (un)certainty in their conclusions
Strategic Staffing
Strategic Staffing prepares all current and future managers to take a strategic and modern approach to the identification, attraction, selection, deployment, and retention of talent. Grounded in research but full of real world examples, this text describes how organizations can develop a staffing strategy that reinforces business strategy, leverages staffing technology, and evaluates and improves staffing systems.xv+432p.;22x28c
Effects Of Training Goals And Goal Orientation Traits On Multidimensional Training Outcomes And Performance Adaptability
This research examined the effects of mastery vs. performance training goals and learning and performance goal orientation traits on multidimensional outcomes of training. Training outcomes included declarative knowledge, knowledge structure coherence, training performance, and self-efficacy. We also examined the unique impact of the training outcomes on performance adaptability by predicting generalization to a more difficult and complex version of the task. The experiment involved 60 trainees learning a complex computer simulation over 2 days. The research model posited independent effects for training goals relative to goal orientation traits and independent contributions of training outcomes to the performance adaptability of trainees. The findings were consistent with the proposed model. In particular, self-efficacy and knowledge structure coherence made unique contributions to the prediction of performance adaptability after controlling for prior training performance and declarative knowledge. Implications and extensions are discussed. © 2001 Academic Press
A Mediated Moderation Model of Recruiting Socially and Environmentally Responsible Job Applicants
Socially and environmentally responsible organizations must attend to the fit of employees with the values of the organization. Recruiting practices are a key tool for ensuring fit with an organization's culture and values. We develop and test a model of the process through which recruitment information about an organization's social and environmental responsibility values differentially affect job seeker perceived fit, attraction, and job pursuit intentions depending on job seekers’ desire to have a significant impact through work. Our model of mediated moderation is tested with a sample of 339 actual job seekers using conditional process modeling and nonlinear bootstrapping techniques. Results support expectations that advertisement messages about an organization's social and environmental responsibility values interact with applicants’ desire to have a significant impact through work to influence job pursuit intentions through the hypothesized mediational process. Implications of the model for research on recruitment and organizational social and environmental responsibility are discussed
A Mediated Moderation Model of Recruiting Socially and Environmentally Responsible Job Applicants
Socially and environmentally responsible organizations must attend to the fit of employees with the values of the organization. Recruiting practices are a key tool for ensuring fit with an organization's culture and values. We develop and test a model of the process through which recruitment information about an organization's social and environmental responsibility values differentially affect job seeker perceived fit, attraction, and job pursuit intentions depending on job seekers’ desire to have a significant impact through work. Our model of mediated moderation is tested with a sample of 339 actual job seekers using conditional process modeling and nonlinear bootstrapping techniques. Results support expectations that advertisement messages about an organization's social and environmental responsibility values interact with applicants’ desire to have a significant impact through work to influence job pursuit intentions through the hypothesized mediational process. Implications of the model for research on recruitment and organizational social and environmental responsibility are discussed