126,393 research outputs found
Measuring Impatience: Elicited Discount Rates and the Barratt Impulsiveness Scale
No full textWe explore intertemporal decision making to test the extent to which elicited discount rates and a self-reported scale of impatience measure the same behavioral characteristic. We conduct experiments in which we elicit discount rates using monetary rewards and a self-reported measure of impatience (the Barratt Impulsiveness Scale, BIS-11). Although researchers have utilized these measures to infer aspects of intertemporal preferences, we find no significant correlation between discount rates and the BIS-11 except in the special case where discount rates were elicited after individuals were primed with negative feedback.intertemporal choice; impulsiveness; discounting; experiments
Charles B. Barratt, Waco, Dec 1874
No full textVerso: [handwritten] Charles B. Barratt, Waco, Dec 1874, [imprinted] Jackson & Knight, Photographers, Waco, Texas
Hunt, H B (Harry Barratt), VX44453
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/393997Surname: HUNT. Given Name(s) or Initials: H B (HARRY BARRATT). Military Service Number or Last Known Location: VX44453. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 42550.216678
Item: [2016.0049.26290] "Hunt, H B (Harry Barratt), VX44453
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
drummondiana
No full textSalix drummondiana Barratt ex Hook.saule de DrummondDrummond's willowSyncline Brook TrailT. ChisholmS.E. facing slope overlooking stream; wet soil1471Maianthemum stellatum, Hackelia sp., Juniperus horizontalis, Picea sp., Galium sp
drummondiana
No full textSalix drummondiana Barratt ex Hook.Drummond's willowsaule de DrummondMiddle Kootenay PassT. ChisholmCreekside beside trail; moist ground from stream runoff1789Alnus alnobetula, Carex aquatilis, Rhododendron albiflorum, Mitella breweri, Micranthes occidentalis, Epilobium anagallidifolium, Platanthera obtusata, Tiarella trifoliata, Menziesia ferruginea1.8 m tall by 1.5 m wid
Some consequences of using the Horsfall-Barratt scale for hypothesis testing
No full text Comparing treatment effects by hypothesis testing is a common practice in plant pathology. Nearest percent estimates (NPEs) of disease severity were compared with Horsfall-Barratt (H-B) scale data to explore whether there was an effect of assessment method on hypothesis testing. A simulation model based on field-collected data using leaves with disease severity of 0 to 60% was used; the relationship between NPEs and actual severity was linear, a hyperbolic function described the relationship between the standard deviation of the rater mean NPE and actual disease, and a lognormal distribution was assumed to describe the frequency of NPEs of specific actual disease severities by raters. Results of the simulation showed standard deviations of mean NPEs were consistently similar to the original rater standard deviation from the field-collected data; however, the standard deviations of the H-B scale data deviated from that of the original rater standard deviation, particularly at 20 to 50% severity, over which H-B scale grade intervals are widest; thus, it is over this range that differences in hypothesis testing are most likely to occur. To explore this, two normally distributed, hypothetical severity populations were compared using a t test with NPEs and H-B midpoint data. NPE data had a higher probability to reject the null hypothesis (H0) when H0 was false but greater sample size increased the probability to reject H0 for both methods, with the H-B scale data requiring up to a 50% greater sample size to attain the same probability to reject the H0 as NPEs when H0 was false. The increase in sample size resolves the increased sample variance caused by inaccurate individual estimates due to H-B scale midpoint scaling. As expected, various population characteristics influenced the probability to reject H0, including the difference between the two severity distribution means, their variability, and the ability of the raters. Inaccurate raters showed a similar probability to reject H0 when H0 was false using either assessment method but average and accurate raters had a greater probability to reject H0 when H0 was false using NPEs compared with H-B scale data. Accurate raters had, on average, better resolving power for estimating disease compared with that offered by the H-B scale and, therefore, the resulting sample variability was more representative of the population when sample size was limiting. Thus, there are various circumstances under which H-B scale data has a greater risk of failing to reject H0 when H0 is false (a type II error) compared with NPEs. </jats:p
Modelling individual preferences for environmental policy drivers: Empirical evidence of Italian lifestyle changes using a latent class approach
No full textDegraded air quality severely affects the health of citizens worldwide. The design of effective policies requires exploring public preferences for environmental and air quality policy instruments. Within the EC-FP7 SEFIRA project, using a choice experiment that stresses the trade-offs between attributes, this study investigates public preferences for environmental policy drivers in Italy. The main objective is to investigate the role played by selected policy drivers in determining policy preferences, complemented by elasticity and willingness to pay estimations. Preference heterogeneity and the role of socio-economic and attitudinal variables are explored with a latent class model over 2400 respondents sampled across Italy. The results allow identifying the different role played by the policy drivers across the classes. It emerged that most of the respondents (43%) are particularly sensitive to the cost components (cost sensitive respondents). The remaining respondents instead show an important sensitivity towards personal engagement in term of changes in the mobility and eating habits (lifestyle-change sensitive respondents). However, while 29% of them perceive these habits’ changes as negatively impacting on the personal utility, the other 28% of respondents translate the potential changes in the habitual behaviour of driving and eating as environmental and health benefits. Based on the modelling results, potential policies are simulated reporting respondents’ reaction to selected scenarios. It shows the crucial role played by reduction of premature deaths due to atmospheric pollution and measure cost.
ã 2016 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-N
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