Use Of Multidimensional Measures Research Articles

Patterns and Profiles in Faculty Publication Productivity

Unlike prior studies that have examined the research productivity to develop various rank-order metrics of particular scholars or institutions, we seek to determine ways in which criminology and criminal justice faculty at the top 21 doctoral programs publish their research. To account for a potential diversity in faculty publication productivity, our study considers various outlets for faculty publications—journal articles, books, and book chapters—and develops composite profiles of publication productivity. Our intention is not to rank faculty and determine academic stars, but to distinguish groups of faculty similar in their patterns of faculty productivity. We analyze the publications of over 90% of all tenured and tenure-track faculty employed by the top 21 U.S. doctoral programs in criminology and criminal justice. Our latent profile analysis yielded five distinct profiles of productivity among the faculty in the top doctoral programs. Our study reaffirms the need for the use of multidimensional measures of publication productivity.

Methodologies to measure access to care post-discharge in adults with serious injury-related disability: a scoping review

Purpose This scoping review examined the methodologies used to measure access to care in serious injury-related disability populations, for whom access to care post-discharge has significant implications for patient outcomes and rehabilitation trajectories. Methods Four electronic databases were searched for literature published between 1 January 2000 and 15 February 2022. Relevant articles needed to relate to access to care in adult community-dwelling trauma and rehabilitation populations. Results The initial search identified 679 articles. Following de-duplication, the title/abstract screening was completed on 533 articles, and 56 full-text articles were reviewed. Thirty-eight articles met the eligibility criteria and were included in this review. Of the 38 studies included, there was large heterogeneity in the methodologies used to measure access to care. Two articles used multidimensional measures of access to care. Conclusions There is an urgent need to establish the use of multidimensional measures as standard practice in access-to-care research. Failure to account for the multidimensional nature of access to care limits the full realisation of access for people with serious injury-related disability and prevents the implementation of processes that could improve access to health, rehabilitation, and support services and enhance the quality of care for individuals with a serious injury-related disability.

Understanding How Perceived Leader Integrity Affects Follower Trust: Lessons From the Use of Multidimensional Measures of Integrity and Trust

Even though much research has emerged recently supporting the importance of perceived leader integrity judgments on how followers develop trust in their leaders, our efforts to understand possible mechanisms for these relationships have not yet yielded detailed explanations. One reason for this is that most research on perceived leader integrity and trust has used unidimensional measures of each construct, even though recent research has called for more complex treatments of them. The purpose of this study is to couple the use of a recently developed, multidimensional measure of perceived leader integrity with a multidimensional measure of trust to examine possible explanations of how they relate. Results support the value of modeling perceived integrity in two dimensions and support a more nuanced model of how integrity may affect trust when trust is similarly modeled as multiple dimensions. We discuss the implications of these findings for our understanding of how leader integrity may affect trust and other outcomes.

Financial liberalization and systemic banking crises: A meta-analysis

This paper provides systematic analysis of the empirical literature about the relation between financial liberalization and banking crises by conducting a meta-analysis. To our knowledge, this is the first study based on a meta-analysis as a tool to identify banking crises’ origins, especially financial liberalization effect. We are interested in explaining heterogeneity of results reported in previous empirical works by investigating the importance of specific characteristics of studies, data, methodology and accounting for model uncertainty. Our contribution resides in the use of the Bayesian Model Averaging approach to determine potential explanatory factors of earlier finding discrepancies. We find that the sample size plays an important role in explaining divergences in previous results, and that the use of multidimensional measures in developing countries tends to reduce significantly the link between financial liberalization and banking crises. Furthermore, we find that some estimation techniques deliver results systematically different from those obtained via other methods. For example, the use of logit approach results in substantially important estimates of the relationship.

Psychometric Methods for Measuring Pain

Pain is a complex, multidimensional construct that includes a number of domains, such as pain severity, sensory qualities of pain, pain beliefs, coping strategies, and the functional impact of pain. In addition a variety of psychosocial factors, including affective state, the subjectivity of pain, and the degree to which one uses pain complaints to communicate about other psychosocial problems, strongly influence people's report of pain and disability. Thus it is important to recognize the various dimensions that contribute to the construct of pain and to consider evaluation methods that accurately provide for assessment of each of these dimensions. In some cases this would require administration of several domain-specific measures. Alternatively use of multidimensional measures is a viable option that often provides for more comprehensive evaluation. This chapter reviews a number of pain-related assessment measures, the constructs they purport to measure, and then briefly addresses issues related to normative data and symptom validity for each.

Examining the Effects of Conformal Terrain Features in Advanced Head‐Up Displays on Flight Performance and Pilot Situation Awareness

AbstractSynthetic vision systems (SVS) render terrain features for pilots through cockpit displays using a GPS database and three‐dimensional graphical models. Enhanced vision systems (EVS) present infrared imagery of terrain using a forward‐looking sensor in the nose of an aircraft. The ultimate goal of SVS and EVS technologies is to support pilots in achieving safety under low‐visibility and night conditions comparable to clear, day conditions. This study assessed pilot performance and situation awareness (SA) effects of SVS and EVS imagery in an advanced head‐up display (HUD) during a simulated landing approach under instrument meteorological conditions. Videos of the landing with various HUD configurations were presented to eight pilots with a superimposed tracking task. The independent variables included four HUD feature configurations (baseline [no terrain imagery], SVS, EVS, and a combination of SVS and EVS), two visibility conditions, and four legs of the flight. Results indicated that SVS increased overall SA but degraded flight path control performance because of visual confusion with other display features. EVS increased flight path control accuracy but decreased system (aircraft) awareness because of visual distractions. The combination of SVS and EVS generated offsetting effects. Display configurations did not affect pilot spatial awareness. Flight performance was not different among phases of the approach, but levels and types of pilot SA did vary from leg to leg. These results are applicable to development of adaptive HUD features to support pilot performance. They support the use of multidimensional measures of SA for insight on pilot information processing with advanced aviation displays. © 2012 Wiley Periodicals, Inc.