Knowledge creation and the use of secondary data.

AIMS AND OBJECTIVES To expose problems of using bespoke questionnaire-based surveys to create knowledge and to advance the use of secondary data as an alternative research approach. BACKGROUND Many researchers from students undertaking dissertations to those who attempt to create knowledge to advance society collect data by using questionnaires. But this raises reliability and validity concerns as a consequence of low response rates and non-response bias. This constrains knowledge creation. DESIGN AND METHOD First, the value of questionnaire-based research will be discussed. Then, it is argued that much can be accomplished using secondary data. The paper concludes by presenting a case study developed from the Scottish Health Survey. RESULTS AND CONCLUSION We demonstrate that there may be an alternative for creating bespoke questionnaires by researchers. The data to answer their research questions may already exist in official surveys whose data are available to students and researchers. By analysing a case study, we demonstrate the value of one of these secondary sources - the Scottish Health Survey. RELEVANCE TO CLINICAL PRACTICE We show that clinical practitioners in their training and in any professional research should consider alternative methods of collecting data for undertaking quantitative research. We advance the use of analysis of data collected by official surveys. Using secondary data can be more efficient in training students in research methods and make dissertations produced more meaningful.

[1]  J. Neyman On the Two Different Aspects of the Representative Method: the Method of Stratified Sampling and the Method of Purposive Selection , 1934 .

[2]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[3]  D. Dillman,et al.  Mail and telephone surveys , 1978 .

[4]  David W. Hosmer,et al.  Applied Logistic Regression , 1991 .

[5]  R. Groves,et al.  Survey Errors and Survey Costs. , 1991 .

[6]  Richard A. Parker,et al.  Designing and Conducting Survey Research: A Comprehensive Guide , 1992 .

[7]  J. Mcewen,et al.  Measuring Health—A Review of Quality of Life Measurement Scales , 1992 .

[8]  T R Knapp,et al.  The National Survey of Families and Households: a rich data base for nursing research. , 1995, Research in nursing & health.

[9]  Linda B. Bourque,et al.  How to Conduct Self-Administered and Mail Surveys , 1995 .

[10]  Ronald Czaja,et al.  Designing Surveys: A Guide to Decisions and Procedures , 1995 .

[11]  Edith D. de Leeuw,et al.  Data Collection Methods and Survey Quality: An Overview , 1997 .

[12]  Assessing the validity of questionnaire scales designed to assess the organisation of nursing in acute care hospital wards , 1999 .

[13]  J. Deatrick,et al.  Issues to Consider when Choosing and Using Large National Databases for Research of Families , 1999, Western journal of nursing research.

[14]  D. Koniak-Griffin,et al.  Secondary data analysis: new perspective for adolescent research. , 2000, Nursing outlook.

[15]  A. Tingle,et al.  What is 'direct patient care'? Developing questions for a questionnaire survey , 2000 .

[16]  M. Krishnasamy,et al.  Lung cancer health care needs assessment: patients' and informal carers' responses to a national mail questionnaire survey , 2001, Palliative medicine.

[17]  Holly Gunn,et al.  Web-based Surveys: Changing the Survey Process , 2002, First Monday.

[18]  Jane E Castle,et al.  Maximizing Research Opportunities: Secondary Data Analysis , 2003, The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses.

[19]  Shawn A. Ross,et al.  Survey Methodology , 2005, The SAGE Encyclopedia of the Sociology of Religion.

[20]  H. Wunsch,et al.  Health services research in critical care using administrative data. , 2005, Journal of critical care.

[21]  B. Elger,et al.  Avoidable breaches of confidentiality: a study among students of medicine and of law , 2005, Medical education.

[22]  T. Mills,et al.  Measuring Health: A Guide to Rating Scales and Questionnaires , 2006 .

[23]  C. Hughes,et al.  Infection control policies and procedures for meticillin-resistant Staphylococcus aureus in care homes for older people in Northern Ireland: a questionnaire study , 2006 .

[24]  D. Dillman Mail and internet surveys: The tailored design method, 2nd ed. , 2007 .

[25]  R. Raeside,et al.  Research Methods for Graduate Business and Social Science Students , 2007 .

[26]  Scottish social survey data, past present and future: Does Scotland need its own data strategy? , 2008 .

[27]  A. Leyland,et al.  Overweight status and psychological well-being in adolescent boys and girls: a multilevel analysis* , 2008, European journal of public health.

[28]  Daniel M. Doolan,et al.  Using an Existing Data Set to Answer New Research Questions: A Methodological Review , 2009, Research and Theory for Nursing Practice.

[29]  A. Leyland,et al.  A multilevel analysis of diet and socio-economic status in Scotland: investigating the ‘Glasgow effect’ , 2009, Public Health Nutrition.

[30]  Pamela E. Windle,et al.  Secondary data analysis: is it useful and valid? , 2010, Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses.

[31]  Henning Müller,et al.  Strategies for health data exchange for secondary, cross-institutional clinical research , 2010, Comput. Methods Programs Biomed..

[32]  B. Stanton,et al.  The influence of social stigma and discriminatory experience on psychological distress and quality of life among rural-to-urban migrants in China. , 2010, Social science & medicine.

[33]  C. Fischbacher,et al.  Is the Scottish population living dangerously? Prevalence of multiple risk factors: the Scottish Health Survey 2003 , 2010, BMC public health.

[34]  R. Raeside,et al.  Social networks and contraception practice of women in rural Bangladesh. , 2010, Social science & medicine.

[35]  J. Jakobsson,et al.  Patient assessed health profile: A six-month quality of life questionnaire survey after day surgery , 2010, Scandinavian journal of public health.

[36]  A. Brand Public health genomics--public health goes personalized? , 2011, European journal of public health.

[37]  A. Leyland,et al.  The relationship between body size and mortality in the linked Scottish Health Surveys: cross-sectional surveys with follow-up , 2010, International Journal of Obesity.

[38]  Juan Merlo,et al.  International differences in self-reported health measures in 33 major metropolitan areas in Europe , 2010, European journal of public health.