Towards an Integrative Formative Approach of Data-Driven Decision Making, Assessment for Learning, and Diagnostic Testing

This study concerns the comparison of three approaches to assessment: Data-Driven Decision Making, Assessment for Learning, and Diagnostic Testing. Although the three approaches claim to be beneficial with regard to student learning, no clear study into the relationships and distinctions between these approaches exists to date. The goal of this study was to investigate the extent to which the three approaches can be shaped into an integrative formative approach towards assessment. The three approaches were compared on nine characteristics of assessment. The results suggest that although the approaches seem to be contradictory with respect to some characteristics, it is argued that they could complement each other despite these differences. The researchers discuss how the three approaches can be shaped into an integrative formative approach towards assessmen

Psychometrics in Practice at RCEC

A broad range of topics is dealt with in this volume: from combining the psychometric generalizability and item response theories to the ideas for an integrated formative use of data-driven decision making, assessment for learning and diagnostic testing. A number of chapters pay attention to computerized (adaptive) and classification testing. Other chapters treat the quality of testing in a general sense, but for topics like maintaining standards or the testing of writing ability, the quality of testing is dealt with more specifically.\ud All authors are connected to RCEC as researchers. They present one of their current research topics and provide some insight into the focus of RCEC. The selection of the topics and the editing intends that the book should be of special interest to educational researchers, psychometricians and practitioners in educational assessment

The administrative burden reduction policy boom in Europe: comparing mechanisms of policy diffusion

Much has been written on the diffusion of public management and regulatory reform tools. Available evidence suggests that cross-national policy diffusion is an increasingly significant phenomenon, especially in the European context. While internationalisation of policy discourses and expert communities are regarded as key driving forces of policy diffusion, public management reforms are also said to be particularly vulnerable to mechanisms of 'diffusion without convergence'. This paper analyses the case of policies aiming at reducing administrative burdens of regulations through the lens of the literature on policy diffusion. The diffusion of the so-called Standard Cost Model for measuring administrative burden between 2003 and 2007 is used as a case to explore the mechanisms facilitating policy diffusion in this domain. The analysis reveals patterns of rapid diffusion. This policy boom has been driven by a combination of different mechanisms of policy diffusion rather than by a single driving factor

Outcomes of an Evidence-Based, Data Driven-Model Fieldwork Experience for Occupational Therapy Students

Over the past decade, there has been an increased emphasis on evidence-based practice (EBP) and the use of outcome measurement in clinical practice, however, the implementation of evidence into practice remains challenging and irregular. During fieldwork, students often experience a disconnect between the emphasis on EBP in the classroom and lack of use in the clinic. Recognizing the need to develop high-quality, evidence-based and data-driven models of practice for student training, we partnered with local fieldwork educators to develop an innovative program that guides students and simultaneously trains fieldwork educators (FWE) in the use of a systematic data driven decision making (DDDM) process to infuse evidence into practice. Using a pre-post quasi-experimental design, we evaluated the impact of this program on students’ perceived knowledge and skills in use of EBP and DDDM. A focus group with participating fieldwork educators captured their knowledge and attitudes in the use of EBP and DDDM in their clinical sites. Eleven FWEs and twenty four students participated. Results revealed significant change in students’ knowledge and skill in use of EBP and DDDM. FWEs reported the program clarified the role of occupational therapy, enhanced communication, and validated the value of occupational therapy in their clinical site. This program serves as a model for training students to implement evidence and data driven approaches in clinical practice, thus bridging the gap between classroom and clinic

Technology-driven online marketing performance measurement: lessons from affiliate marketing

Although the measurement of offline and online marketing is extensively researched, the literature on online performance measurement still has a number of limitations such as slow theory advancement and predominance of technology- and practitioner-driven measurement approaches. By focusing on the widely employed but under-researched affiliate marketing channel, this study addresses these limitations and evaluates the effectiveness of practitioner-led online performance assessment. The paper offers a comprehensive review of extant performance measurement research across traditional, online and affiliate marketing and, employing grounded theory, presents a qualitative in-depth analysis of 72 online forum discussions and 37 semi-structured interviews with the major affiliate marketing stakeholders. As a result, the research identifies a growing need for change in the technology-pushed measurement approaches in affiliate marketing, and proposes actionable improvement recommendations for affiliate and online marketing managers

Linking business analytics to decision making effectiveness: a path model analysis

While business analytics is being increasingly used to gain data-driven insights to support decision making, little research exists regarding the mechanism through which business analytics can be used to improve decision-making effectiveness (DME) at the organizational level. Drawing on the information processing view and contingency theory, this paper develops a research model linking business analytics to organizational DME. The research model is tested using structural equation modeling based on 740 responses collected from U.K. businesses. The key findings demonstrate that business analytics, through the mediation of a data-driven environment, positively influences information processing capability, which in turn has a positive effect on DME. The findings also demonstrate that the paths from business analytics to DME have no statistical differences between large and medium companies, but some differences between manufacturing and professional service industries. Our findings contribute to the business analytics literature by providing useful insights into business analytics applications and the facilitation of data-driven decision making. They also contribute to manager's knowledge and understanding by demonstrating how business analytics should be implemented to improve DM

On the Road to Better Value: State Roles in Promoting Accountable Care Organizations

Outlines how accountable care organizations can deliver value through incentives to manage utilization, improve quality, and curb cost growth. Profiles states supporting the model with data, new payment methods, accountability measures, and other efforts

Modeling the object-oriented software process: OPEN and the unified process

A short introduction to software process modeling is presented, particularly object-oriented modeling. Two major industrial process models are discussed: the OPEN model and the Unified Process model. In more detail, the quality assurance in the Unified Process tool (formally called Objectory) is reviewed