Ann Bowling

Bio: Ann Bowling is an academic researcher from University of Southampton. The author has contributed to research in topics: Quality of life (healthcare) & Health services research. The author has an hindex of 70, co-authored 260 publications receiving 23997 citations. Previous affiliations of Ann Bowling include University College London & St Bartholomew's Hospital.

Research Methods in Health. Investigating health and health services

Abstract: This new edition of Ann Bowling's well-known and highly respected text has been thoroughly revised and updated to reflect key methodological developments in health research. It is a comprehensive, easy to read, guide to the range of methods used to study and evaluate health and health services. It describes the concepts and methods used by the main disciplines involved in health research, including: demography, epidemiology, health economics, psychology and sociology.The research methods described cover the assessment of health needs, morbidity and mortality trends and rates, costing health services, sampling for survey research, cross-sectional and longitudinal survey design, experimental methods and techniques of group assignment, questionnaire design, interviewing techniques, coding and analysis of quantitative data, methods and analysis of qualitative observational studies, and types of unstructured interviewing. With new material on topics such as cluster randomization, utility analyses, patients' preferences, and perception of risk, the text is aimed at students and researchers of health and health services. It has also been designed for health professionals and policy makers who have responsibility for applying research findings in practice, and who need to know how to judge the value of that research.

Mode of questionnaire administration can have serious effects on data quality

Abstract: Background One of the main primary data collection instruments in social, health and epidemiological research is the survey questionnaire. Modes of data collection by questionnaire differ in several ways, including the method of contacting respondents, the medium of delivering the questionnaire to respondents, and the administration of the questions. These are likely to have different effects on the quality of the data collected. Methods This paper is based on a narrative review of systematic and non-systematic searches of the literature on the effects of mode of questionnaire administration on data quality. Results Within different modes of questionnaire administration, there were many documented potential, biasing influences on the responses obtained. These were greatest between different types of mode (e.g. self-administered versus interview modes), rather than within modes. It can be difficult to separate out the effects of the different influences, at different levels. Conclusions The biasing effects of mode of questionnaire administration has important implications for research methodology, the validity of the results of research, and for the soundness of public policy developed from evidence using questionnaire-based research. All users of questionnaires need to be aware of these potential effects on their data.

Research Methods in Health: Investigating Health and Health Services

Abstract: Part 1 Investigating health services and health: the scope of research introduction evaluating health services -multidisciplinary collaboration social research on health -sociological and psychological concepts and approaches health needs and their assessment - epidemiology and demography costing health services - health economics. Part 2 The philosophy, theory and practice of research: introduction the philosophical framework of measurement the principles of research. Part 3 Quantitative research sampling and research methods: introduction sample size and sampling quantitative research - surveys quantitative research - experiments and other analytic methods of investigation sample selection and group assignment methods in experiments and other analytic methods. Part 4 The tools of quantitative research: introduction data collection methods in quantitative research - questionnaires, interviews and their response rates questionnaire design techniques of survey interviewing preparation of quantitative data for coding and analysis. Part 5 Qualitative research methods and combined research methods, and their analysis: introduction unstructured and structured observational studies unstructured interviewing and focus groups other methods using both qualitative approaches - case studies consensus methods, action research and document research.

Measuring Health: A Review of Quality of Life Measurement Scales

Abstract: The conceptualization of functioning, health and quality of life theories of measurement the measurement of functional ability broader measures of health status measures of psychological well-being measuring social networks and social support measures of life satisfaction and morale.

Just one question: If one question works, why ask several?

Abstract: While shorter instruments are more limited than longer measures, they have obvious benefits for both research and policy in terms of reduced burden and costs, and ease of interpretation.

Using Multivariate Statistics

Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

Bowling alone: The collapse and revival of American community

Abstract: The present historical moment may seem a particularly inopportune time to review Bowling Alone, Robert Putnam's latest exploration of civic decline in America. After all, the outpouring of volunteerism, solidarity, patriotism, and self-sacrifice displayed by Americans in the wake of the September 11 terrorist attacks appears to fly in the face of Putnam's central argument: that \"social capital\" -defined as \"social networks and the norms of reciprocity and trustworthiness that arise from them\" (p. 19)'has declined to dangerously low levels in America over the last three decades. However, Putnam is not fazed in the least by the recent effusion of solidarity. Quite the contrary, he sees in it the potential to \"reverse what has been a 30to 40-year steady decline in most measures of connectedness or community.\"' As an example of how the current \"war on terrorism\" could generate a durable civic renewal, Putnam points to the burst in civic practices that occurred during and after World War II, which he says \"permanently marked\" the generation that lived through it and had a \"terrific effect on American public life over the last half-century.\" 3 If Americans can follow this example and channel their current civic

SPSS Survival Manual

Abstract: Click on the arrow button to move the variable name into Chapter 4 Creating a data file and entering data 39 Step 2: Enter the data Spss survival. The SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis software.In this thoroughly revised edition of her. Download PDF SPSS Survival Manual A step by step guide to data analysis using SPSS. SPSS SURVIVAL MANUAL. Are you come upon Spss Survival Manual? Great! We have the file you need: spss survival manual. The spss survival manual. To cite this article: Yeung, Polly. SPSS survival manual. A step by step guide to data analysis using IBM SPSS (5th ed) (Book Review) (online). Aotearoa New.

Social Relationships and Mortality Risk: A Meta-analytic Review

Abstract: Background The quality and quantity of individuals' social relationships has been linked not only to mental health but also to both morbidity and mortality. Objectives This meta-analytic review was conducted to determine the extent to which social relationships influence risk for mortality, which aspects of social relationships are most highly predictive, and which factors may moderate the risk. Data Extraction Data were extracted on several participant characteristics, including cause of mortality, initial health status, and pre-existing health conditions, as well as on study characteristics, including length of follow-up and type of assessment of social relationships. Results Across 148 studies (308,849 participants), the random effects weighted average effect size was OR = 1.50 (95% CI 1.42 to 1.59), indicating a 50% increased likelihood of survival for participants with stronger social relationships. This finding remained consistent across age, sex, initial health status, cause of death, and follow-up period. Significant differences were found across the type of social measurement evaluated (p<0.001); the association was strongest for complex measures of social integration (OR = 1.91; 95% CI 1.63 to 2.23) and lowest for binary indicators of residential status (living alone versus with others) (OR = 1.19; 95% CI 0.99 to 1.44). Conclusions The influence of social relationships on risk for mortality is comparable with well-established risk factors for mortality. Please see later in the article for the Editors' Summary

Modeling Valuations for EuroQol Health States

Abstract: OBJECTIVES. It has become increasingly common for preference-based measures of health-related quality of life to be used in the evaluation of different health-care interventions. For one such measure, The EuroQol, designed to be used for these purposes, it was necessary to derive a single index value for each of the 243 health states it generates. The problem was that it was virtually impossible to generate direct valuations for all of these states, and thus it was necessary to find a procedure that allows the valuations of all EuroQol states to be interpolated from direct valuations on a subset of these. METHODS. In a recent study, direct valuations were elicited for 42 EuroQol health states (using the time trade-off method) from a representative sample of the UK population. This article reports on the methodology that was adopted to build up a "tariff" of EuroQol values from this data. RESULTS. A parsimonious model that fits the data well was defined as one in which valuations were explained in terms of the level of severity associated with each dimension, an intercept associated with any move away from full health, and a term that picked up whether any dimension in the state was at its most severe level. CONCLUSIONS. The model presented in this article appears to predict the values of the states for which there are direct observations and, thus, can be used to interpolate values for the states for which no direct observations exist.