Thesis (Ph. D.)--Ohio State University, 2004. / Title from first page of PDF file. Document formatted into pages; contains xvii, 220 p. : ill. (some col.). Advisor: Peter T. Ward, Dept. of Business Administration. Includes bibliographical references (p. 197-203).

Thesis (M.A.)--SEATO Graduate School of Engineering, 1966. / eContent provider-neutral record in process. Description based on print version record.

Thesis (M.Hous.Man.)--University of Hong Kong, 2009. / Includes bibliographical references (p. 109-112).

Thesis (M.Hous.M.)--University of Hong Kong, 2004. / Also available in print.

Thesis (M.S.)--University of Wisconsin, 1973. / eContent provider-neutral record in process. Description based on print version record. Includes a bibliography.

Thesis (M. Hous. M.)--University of Hong Kong, 2005.

As a pilot study into questionnaire investigation of beach user opinions and perceptions, a survey was conducted of users of four beaches (Southerndown, Nash, Ogmore and Llantwit), at the Glamorgan Heritage Coast, Wales. Beach perceptions were assessed in terms of socio-demographics, psychological parameters (Eysenck Personality Questionnaire and Spielberger State-Trait Anxiety Inventory) and related to the existing beach environment. Few changes to general facility provision could be recommended, but a number of management recommendations were made. Beach user gender, socio-economic status, planned length of stay and anxiety/neuroticism level were shown by discriminant function analysis to influence beach selection. A beach rating scheme was developed, based on a novel beach user questionnaire/checklist system. This questionnaire was used to interview users (n = 859) at 23 randomly selected Welsh beaches with regard to preferences/priorities for a wide range of beach aspects. Questionnaire data analysis generated scores which could be applied to checklists appropriate to other beaches of various commercialisation levels. Seventy Welsh beaches were assessed, producing scores from 39% (Porthcawl - Trecco Bay) to 69% (Broadhaven, S. Pembs. and Pembray). Landscape was assessed by panel judgements of a video panorama sequence, with scores for this aspect ranging from 19% (Prestatyn) to 80% (Broadhaven, S. Pembs.). The rating scheme took into account a larger number of beach aspects (47) than any beach award/recommendation in common use in the UK. It successfully took account of differing beach user preferences/priorities for various beach aspects and also the differing beach user demands at commercialised as opposed to undeveloped beaches. Many differences in beach user preferences/priorities were observed according to differences in stated preferred beach type, many of which could be important for management. In addition, pilot scale studies were undertaken at the Costa Dorada, Spain and on the Turkish Aegean Coast. For the latter, beach rating was also carried out. Future studies aiming to use stated perceptions, preferences and priorities of beach users to guide management should take account of possible influences such as beach user familiarity, expectation, cultural background and past experience. Much further work is required to develop beach user questionnaires to investigate aspects of beach user perception. Future rating exercises based on beach user preferences/priorities should take account of the need for beaches to meet minimum standards for the most important (as identified by beach users), beach aspects, in order to achieve a high rating or grade. The limitations of beach user surveys in terms of sampling difficulties need to be addressed. For valid management decision support, other stakeholders such as residents, tourist trade workers and those choosing not to visit beaches in particular areas need to be reached using other investigative methodologies.

The aim of the thesis is to prove measurability of the Data Quality which is a relatively subjective measure and thus is difficult to measure. In doing this various aspects of measuring the quality of data are analyzed and a Complex Data Quality Monitoring System is introduced with the aim to provide a concept for measuring/monitoring the overall Data Quality in an organization. The system is built on a metrics hierarchy decomposed into particular detailed metrics, dimensions enabling multidimensional analyses of the metrics, and processes being measured by the metrics. The first part of the thesis (Chapter 2 and Chapter 3) is focused on dealing with Data Quality, i.e. provides various definitions of Data Quality, gives reasoning for the importance of Data Quality in a company, and presents some of the most common tools and solutions that target to managing Data Quality in an organization. The second part of the thesis (Chapter 4 and Chapter 5) builds on the previous part and leads into measuring Data Quality using metrics, i.e. contains definition and purpose of Data Quality Metrics, places them into the multidimensional context (dimensions, hierarchies) and states five possible decompositions of Data Quality metrics into detail. The third part of the thesis (Chapter 6) contains the proposed Complex Data Quality Monitoring System including description of Data Quality Management related dimensions and processes, and most importantly detailed definition of bottom-level metrics used for calculation of the overall Data Quality.

Thesis (M.S.)--University of Missouri-Columbia, 2006. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (February 23, 2006) Includes bibliographical references.

Thesis (Ph. D.)--University of Oklahoma, 1997. / Includes bibliographical references (leaves 119-127).