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The (mis)use of adult age estimates in osteology.Buckberry, Jo January 2015 (has links)
Yes / Context: Adult age-at-death is presented in a number of different ways by anthropologists. Ordinal categories predominate in osteoarchaeology, but do not reflect individual variation in ageing, with too many adults being classified as ‘middle adults’. In addition, mean ages (derived from reference samples) are overly-relied upon when developing and testing methods. In both cases, ‘age mimicry’ is not adequately accounted for.
Objectives: To highlight the many inherent biases created when developing, testing and applying age-estimation methods without fully considering the impact of ‘age mimicry’ and individual variation.
Methods: The paper draws on previously published research (Web of Science, Pub Med, Google Scholar) on age estimation methods and their use in anthropology.
Results and Conclusions: There is a lack of consistency in the methods used to estimate age, and for the mode of combining them. Ordinal categories are frequently used in osteoarchaeology, whereas forensic anthropologists are more likely to produce case-specific age ranges. Mean ages reflect the age structure of reference samples, and should not be used to estimate age for individuals from populations with a different age-at-death structure. Individual-specific age ranges and/or probability densities should be used to report individual age. Further research should be undertaken on how to create unbiased, combined method age estimates.
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Estimation of juvenile age at deathBuckberry, Jo, Brickley, M. 08 November 2019 (has links)
No
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Perceived Brand Age and Its Influence on ChoiceGuillory, Monica D. 20 December 2012 (has links)
Understanding brand age is potentially critical to a brand management program. When a brand begins to be perceived as older, even with the positive attributes aligned with the idea of traditional and established brands, consumers may begin to move away from the brand. This study defines the concepts of both perceived and preferred brand age. We look at how perceived brand age fits in with our current perspective on branding and can enrich our understanding of consumers’ personal preferences.
As there is very little published work in the area of brand age three distinct set of studies were conducted in order to fully understand the meaning of brand age, explicate the construct and understand the antecedents and consequences. The first study involved a group of exploratory studies. The purpose of this initial group of conceptual studies was to explore current consumer understanding and interpretation of the concept of perceived brand age. These studies were used to inform and direct our subsequent research. Our second set of studies explicated the brand age concept. In the first project, we used a Likert scale designed to understand what cues consumers use to understand the age of a brand. The second project was a semantic differential research study to examine what specific characteristics are associated with younger brands, older brands or are neutral between the two. We also develop and test a model of consumer choice through the exploration of the relationship between perceived brand age and preferred brand age.
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Horte als GeschichtsquelleGeisslinger, Helmut. January 1967 (has links)
Issued also as thesis, Kiel, 1963. / Offa-Bücher, Bd. 19.
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Effects of early school entrance on intelligence.Hanrahan, James Patrick. January 1970 (has links)
No description available.
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Horte als GeschichtsquelleGeisslinger, Helmut. January 1967 (has links)
Issued also as thesis, Kiel, 1963. / Offa-Bücher, Bd. 19.
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A Comparison of the dental age estimation methods of Phillips and Proffit in a sample of South African children at the Tygerberg Dental FacultyElgamri, Alya Isam Eldin Gafar January 2015 (has links)
Magister Scientiae Dentium - MSc(Dent) / Background: Dental age is an indicator of the physiological maturity of growing children. Different methods for estimating the dental age in comparison to the chronological age were proposed in the literature. Objective: The aim of this study was to compare the accuracy of two methods i.e. the Phillips and Proffit methods in estimating the dental age in a sample of South African children at the Tygerberg dental faculty. Methods: A retrospective study was conducted by randomly selecting 100 panoramic radiographs with known chronological age. The sample contained an equal number of girls and boys (50 in each group) and the chronological age ranged between 6 and 11 years. Dental age for each radiograph was estimated using the Phillips and the Proffit methods respectively. The mean difference between dental and chronological age was calculated. Dental and chronological ages were compared using overall bias and random errors. Results: The results showed that for the girls’ sample, the Phillips method underestimated the age by 4 months which is statistically significant (p-value =0.03). The Proffit method underestimated the age by 2 days which is not statistically significant (p-value =0.97). Both methods however have the same frequency of random errors. For the boys’ sample, Phillips’ method underestimated the age by 6 months which is statistically significant (p-value <0.0001). Proffit’s method underestimated the age by 2 months which is not statistically significant (p-value= 0.15). The Phillips method was shown to have fewer random errors in boys. Discussion: The above mentioned results showed that for dental age estimation for girls, Proffit’s method would be more appropriate. This rationale is explained by the conclusion that it only underestimates the age by 2 days and has the same frequency of random errors as Phillips’ method. However, if one had to choose between the two methods for boys, the situation should be evaluated carefully. For boys, the Phillips method has fewer random errors but a larger overall bias (6 months) whereas Proffit’s method has more random errors but less overall bias (2 months). The choice between the two methods should therefore depend on the purpose of the estimation. If the method is used for estimating the age in a single individual with an unknown chronological age, Phillips’ method would be more preferable. However, if the method is used for age estimation in populations with a known mean chronological age, Proffit is preferred. Conclusion: Proffit’s description for dental development has been shown to be accurate in estimating the DA. It may therefore be considered to be a legitimate DA estimation method and not just a developmental description for the dentition.
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Effects of early school entrance on intelligence.Hanrahan, James Patrick. January 1970 (has links)
No description available.
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Age-related changes in the cat testis and epididymisElcock, Laura Elise Hart January 2011 (has links)
Digitized by Kansas Correctional Industries
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Organisational culture and the transformational requirements for the Knowledge AgeKokt, D. January 2009 (has links)
Published Article / The important impact of an organisation's cultural orientation is often not fully comprehended by management and staff. Organisational culture as the 'soul' of an organisation forms the basis of all decisions that are taken in organisational context. In the Knowledge Age, where service delivery has become a crucial consideration organisations must be creative in dealing with its internal and external customers. In a competitive international environment organisations may find it difficult to apply the cultural principles that correspond with that of the Knowledge Age. This paper argues that in order for organisations to adapt successfully to the challenges of the Knowledge Age, they need to comprehend the fundamental influence of organisational culture, and how a focus on both internal and external stakeholders, could benefit the organisation. The arguments of this paper are based, in part, on an investigation of the organisational culture of a major private security company in South Africa.
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