![]() OL18795398W Page_number_confidence 95.38 Pages 478 Partner Innodata Pdf_module_version 0.0.18 Ppi 360 Rcs_key 24143 Republisher_date 20220208204357 Republisher_operator Republisher_time 472 Scandate 20220122221330 Scanner Scanningcenter cebu Scribe3_search_catalog isbn Scribe3_search_id 9781412949743 Tts_version 4. Urn:lcp:evaluationinacti0000unse:epub:d80d5bb0-0b75-4d65-b16f-4f0d2fa9304f Foldoutcount 0 Identifier evaluationinacti0000unse Identifier-ark ark:/13960/s2436cnnmdt Invoice 1652 Isbn 9781412949743 Lccn 2008003526 Ocr tesseract 5.0.0-1-g862e Ocr_detected_lang en Ocr_detected_lang_conf 1.0000 Ocr_detected_script Latin Ocr_detected_script_conf 0.9880 Ocr_module_version 0.0.15 Ocr_parameters -l eng Old_pallet IA-NS-2000525 Openlibrary_edition Overall, information sharing among expert evaluators can lead to more conservative allocation decisions that favors protecting against failure than maximizing success.Access-restricted-item true Addeddate 18:12:28 Associated-names Fitzpatrick, Jody L Christie, Christina A Mark, Melvin M Bookplateleaf 0004 Boxid IA40337516 Camera Sony Alpha-A6300 (Control) Collection_set printdisabled External-identifier The cost of evaluations can be discussed between the institution and the program evaluator. It is the responsibility of the institution to arrange and pay for the evaluation. Qualitative coding and topic modeling of the evaluators’ justifications for score changes reveal that exposures to low scores prompted greater attention to uncovering weaknesses, whereas exposures to neutral or high scores were associated with strengths, along with greater emphasis on non-evaluation criteria, such as confidence in one’s judgment. that is not included in the list, please contact PTIB to confirm the program evaluator has relevant expertise to prepare a program evaluation. choose either to purchase the book, Evaluation in Action (Fitzpatrick, Christie, &. Although the intellectual similarity treatment did not yield a measurable effect, we found causal evidence of negativity bias, where evaluators are more likely to lower their scores after seeing critical scores than raise them after seeing better scores. Expert Evaluators, she uses interviews with expert evaluators on one. ![]() ![]() We exogenously varied two key aspects of information sharing: 1) the intellectual distance between each focal evaluator and the other evaluators and 2) the relative valence (positive and negative) of others’ scores, to determine how these treatments affect the focal evaluator’s propensity to change the initial score. Collectively, our experiments mobilized 369 evaluators from seven universities to evaluate 97 projects resulting in 760 proposal-evaluation pairs and over $300,000 in awards. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti. In it, the experts assess the interface and the system based dialogue on a. We designed and executed two field experiments in two separate grant funding opportunities at a leading research university to explore evaluators’ receptivity to assessments from other evaluators. The Role of Negative Information in Expert Evaluations for Novel Projects. usability evaluations and is highlighted by its easy implementation and low cost. ![]() This paper investigates the role of information sharing among experts as the driver of evaluation decisions. The evaluation of novel projects lies at the heart of scientific and technological innovation, and yet literature suggests that this process is subject to inconsistency and potential biases. ![]()
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