ACKNOWLEDGEMENTS The authors would like to acknowledge the expert input provided into the scope of these recommendations from participants in an international Delphi procedure. The following people took part in the Delphi procedure and participants had a range of views. Participation in the Delphi procedure does not necessarily mean agreement with the recommendations FUNDING The MERIT study was funded by the MRC/NIHR Methodology Research Programme (reference MC_PC_17229); funders have had no role in the design of the study or the writing of this manuscript. The work of RD and AL (members of MERIT Collaborative Group) is funded by the Medical Research Council (MC_UU_12017/13) and the Scottish Government Chief Scientist Office (SPHSU13). ; Peer reviewed ; Publisher PDF
AbstractIdeal point models have become a powerful tool for defining and measuring the ideology of many kinds of political actors, including legislators, judges, campaign donors, and members of the general public. We extend the application of ideal point models to the public using a novel data source: real-time reactions to statements by candidates in the 2012 presidential debates. Using these reactions as inputs to an ideal point model, we estimate individual-level ideology and evaluate the quality of the measure. Debate reaction ideal points provide a method for estimating a continuous, individual-level measure of ideology that avoids survey response biases, provides better estimates for moderates and the politically unengaged, and reflects the content of salient political discourse relevant to viewers' attitudes and vote choices. As expected, we find that debate reaction ideal points are more extreme among respondents who strongly identify with a political party, but retain substantial within-party variation. Ideal points are also more extreme among respondents who are more politically interested. Using topical subsets of the debate statements, we find that ideal points in the sample are more moderate for foreign policy than for economic or domestic policy.
Purpose – Employing institutional logic and institutional work as its theoretical framework, this study analyzes scholars' reactions to performance measurement systems in academia. Design/methodology/approach – Large datasets were collected over time, combining both quantitative and qualitative elements. The data were gathered from a two-wave survey in 2010 (966 respondents) and 2015 (672 respondents), conducted among scholars performing teaching- and research-oriented tasks in three Finnish universities.Findings – The analysis showed statistically significant changes over time in the ways that the respondents were positioned in three major groups influenced by different institutional logics. This study contributes to the international debate on institutional change in universities by showing that in Finnish universities, emerging business logics and existing professional logics can co-exist and be blended among a growing group of academics. The analysis of qualitative open-ended answers suggests that performance measurement systems have led to changes in institutional logic, which have influenced the scholars participating in institutional work at the microlevel in academia.Social implications – While most scholars remain critical of performance measurement systems in universities, the fact that many academics are adapting to performance measurement systems highlights significant changes that are generally occurring in academia.Originality/value – While most extant studies have focused on field- and organizational-level analyses, this study focuses on understanding how the adoption of performance measurement systems affects institutional logic and institutional work at the microlevel. Moreover, the study's cross-sectional research setting increases society's understanding of institutional evolution in academia.
The purpose of this paper was to explore the challenges and complexities of performance measures which caused less than desired behavior in the Tanzanian Local Government Authorities (LGAs). Specifically, the paper focuses on performance measures under the Local Government Development Grant (LGDG) system. The LGDG was the performance based grant system established to link LGAs' performances and their financing. The methodology of the research incorporates review of LGDG documents, field-based interviews and observation. The results are interpreted using the law of decreasing effectiveness (de Bruijn and Van Helden, 2007) and Oliver (1991)'s strategic responses to institutional pressure. The study provides a more detailed analysis of the law of decreasing effectiveness and contributes by adding a component of complexity, to contribute to the causes of pervasive effect. The paper also explains how acquiescence and manipulation strategies (Oliver, 1991) can occur concurrently.
Objective: This study was designed to replicate past research concerning reaction times to audiovisual stimuli with different stimulus onset asynchrony (SOA) using a large sample of crowdsourcing respondents. Background: Research has shown that reaction times are fastest when an auditory and a visual stimulus are presented simultaneously and that SOA causes an increase in reaction time, this increase being dependent on stimulus intensity. Research on audiovisual SOA has been conducted with small numbers of participants. Method: Participants ( N = 1,823) each performed 176 reaction time trials consisting of 29 SOA levels and three visual intensity levels, using CrowdFlower, with a compensation of US$0.20 per participant. Results were verified with a local Web-in-lab study ( N = 34). Results: The results replicated past research, with a V shape of mean reaction time as a function of SOA, the V shape being stronger for lower-intensity visual stimuli. The level of SOA affected mainly the right side of the reaction time distribution, whereas the fastest 5% was hardly affected. The variability of reaction times was higher for the crowdsourcing study than for the Web-in-lab study. Conclusion: Crowdsourcing is a promising medium for reaction time research that involves small temporal differences in stimulus presentation. The observed effects of SOA can be explained by an independent-channels mechanism and also by some participants not perceiving the auditory or visual stimulus, hardware variability, misinterpretation of the task instructions, or lapses in attention. Application: The obtained knowledge on the distribution of reaction times may benefit the design of warning systems.
This paper deals with the estimation of unknown signals in bioreactors using sliding observers. Particular attention is drawn to estimate the specific growth rate of microorganisms from measurement of biomass concentration. In a recent article, notions of high-order sliding modes have been used to derive a growth rate observer for batch processes. In this paper we generalize and refine these preliminary results. We develop a new observer with a different error structure to cope with other types of processes. Furthermore, we show that these observers are equivalent, under coordinate transformations and time scaling, to the classical super-twisting differentiator algorithm, thus inheriting all its distinctive features. The new observers' family achieves convergence to timevarying unknown signals in finite time, and presents the best attainable estimation error order in the presence of noise. In addition, the observers are robust to modeling and parameter uncertainties since they are based on minimal assumptions on bioprocess dynamics. In addition, they have interesting applications in fault detection and monitoring. The observers performance in batch, fed-batch and continuous bioreactors is assessed by experimental data obtained from the fermentation of Saccharomyces Cerevisiae on glucose. ; This work was supported by the National University of La Plata (Project 2012-2015), the Agency for the Promotion of Science and Technology ANPCyT (PICT2007-00535) and the National Research Council CONICET (PIP112-200801-01052) of Argentina; the Technical University of Valencia (PAID-02-09), the CICYT (DPI2005-01180) and AECID (A/024186/09) of Spain; and by the project FEDER of the European Union. ; De Battista, H.; Picó Marco, JA.; Garelli, F.; Navarro Herrero, JL. (2012). Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms. Bioprocess and Biosystems Engineering. 35(9):1-11. https://doi.org/10.1007/s00449-012-0752-y ; S ; 1 ; 11 ; 35 ; 9 ...
THIS PAPER REPRESENTS A PILOT STUDY, INVESTIGATING THE FIRST 1984 PRESIDENTIAL DEBATE BETWEEN RONALD REAGAN AND WALTER MONDALE. THE AUTHORS CONDUCTED SURVEYS OF DEBATE WATCHERS AND NONWATCHERS BEFORE AND AFTER THE OCTOBER ENCOUNTER, IN ORDER TO ASSESS THE EFFECTS OF THE DEBATE ON VOTERS' OPINIONS. A CONTENT ANALYSIS WAS EMPLOYED TO DETERMINE HOW WELL THE CANDIDATES DID IN DISCUSSING THE ISSUES OF GREATEST CONCERN TO OUR RESPONDENTS. THE AUTHORS FIND THAT MONDALE'S SUCCESS IN THE DEBATE WAS DUE LARGELY TO HIS SKILL AS A DEBATER (AS OPPOSED TO HIS ISSUE POSITIONS), WHILE REAGAN WAS ABLE TO EFFECTIVELY EXPLOIT THE TAXATION AND SPENDING ISSUES. THE AUTHORS DISCUSS THE IMPLICATIONS OF THIS STUDY FOR UNDERSTANDING THE 1984 ELECTION, AND SUGGEST WAYS IN WHICH THE FUTURE STUDY OF PRESIDENTIAL DEBATES MIGHT BE ENHANCED.
