Relevant bibliographies by topics / Longitudinal survey

Academic literature on the topic 'Longitudinal survey'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Longitudinal survey"

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Hiskey, Syd, and Nicholas A. Troop. "Online Longitudinal Survey Research." Social Science Computer Review 20, no. 3 (August 2002): 250–59. http://dx.doi.org/10.1177/089443930202000303.

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Hawke, Anne. "The Business Longitudinal Survey." Australian Economic Review 33, no. 1 (March 2000): 94–99. http://dx.doi.org/10.1111/1467-8462.00140.

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Yates, Julie A., and Donna S. Rothstein. "The Newest National Longitudinal Survey: The National Longitudinal Survey of Youth, 1997." Industrial Relations: A Journal of Economy and Society 38, no. 4 (October 1999): 604–10. http://dx.doi.org/10.1111/0019-8676.00147.

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YOSHIOKA, Yosuke. "Use of Internet Longitudinal Survey." Japanese Sociological Review 71, no. 1 (2020): 50–64. http://dx.doi.org/10.4057/jsr.71.50.

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Thompson, Mary E. "Using Longitudinal Complex Survey Data." Annual Review of Statistics and Its Application 2, no. 1 (April 10, 2015): 305–20. http://dx.doi.org/10.1146/annurev-statistics-010814-020403.

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Titma, Mikk, Brian D. Silver, Rein Vöörmann, and Douglas Johnson. "4 The Estonian Longitudinal Survey." International Journal of Sociology 26, no. 1 (March 1996): 76–93. http://dx.doi.org/10.1080/15579336.1996.11770135.

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Loxton, Deborah, and Anne Young. "Longitudinal survey development and design." International Journal of Multiple Research Approaches 1, no. 2 (December 2007): 114–25. http://dx.doi.org/10.5172/mra.455.1.2.114.

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Tozer, Clem. "The Australian Business Longitudinal Survey." Small Enterprise Research 5, no. 1 (January 1997): 16–28. http://dx.doi.org/10.5172/ser.5.1.16.

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Miller, Paul W. "The Australian Longitudinal Survey and the Australian Youth Survey." Australian Economic Review 28, no. 1 (January 1995): 123–29. http://dx.doi.org/10.1111/j.1467-8462.1995.tb00881.x.

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Alderman, Harold, Jere Behrman, Susan Watkins, Hans-Peter Kohler, and John A. Maluccio. "Attrition in Longitudinal Household Survey Data." Demographic Research 5 (November 13, 2001): 79–124. http://dx.doi.org/10.4054/demres.2001.5.4.

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Dissertations / Theses on the topic "Longitudinal survey"

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Vieira, Marcel de Toledo. "Modelling complex longitudinal survey data." Thesis, University of Southampton, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423245.

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Boudreau, Christian. "Duration Data Analysis in Longitudinal Survey." Thesis, University of Waterloo, 2003. http://hdl.handle.net/10012/1043.

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Considerable amounts of event history data are collected through longitudinal surveys. These surveys have many particularities or features that are the results of the dynamic nature of the population under study and of the fact that data collected through longitudinal surveys involve the use of complex survey designs, with clustering and stratification. These particularities include: attrition, seam-effect, censoring, left-truncation and complications in the variance estimation due to the use of complex survey designs. This thesis focuses on the last two points. Statistical methods based on the stratified Cox proportional hazards model that account for intra-cluster dependence, when the sampling design is uninformative, are proposed. This is achieved using the theory of estimating equations in conjunction with empirical process theory. Issues concerning analytic inference from survey data and the use of weighted versus unweighted procedures are also discussed. The proposed methodology is applied to data from the U. S. Survey of Income and Program Participation (SIPP) and data from the Canadian Survey of Labour and Income Dynamics (SLID). Finally, different statistical methods for handling left-truncated sojourns are explored and compared. These include the conditional partial likelihood and other methods, based on the Exponential or the Weibull distributions.
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Prue, Gillian Elizabeth. "Fatigue in gynaecological cancer : a prospective longitudinal survey." Thesis, Ulster University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485935.

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Fatigue in gynaecological cancer has received minimal investigation. The aims of the longitudinal survey were therefore to analyse the fatigue experienced over 12 months by a gynaecological cancer population, to determine if the fatigue was more severe than that reported by non-cancer female volunteers, and to explore the variables associated with cancer-related fatigue (CRF). Methods: A feasibility study was carried out to ensure the chosen fatigue questionnaire was acceptable to individuals with gynaecological cancer and to test operational aspects of the main study. A 'multiple point prospective longitudinal survey was implemented involving gynaecological cancer patients from three cancer centres, and a group of age and gender matched controls with no cancer history. Data was collected at various predetermined intervals over a 12 month period post surgery (if indicated); before, during and after anti-cancer treatment. Fatigue was assessed using the MFSI-SF. Results: Sixty-five cancer patients (mean age 57.4, SD 13.9) and 60 non-cancer subjects (mean age 55.4, SD 13.6) participated. General Linear Modelling (GLM) indicated that females with cancer 'had significantly worse fatigue than females with no cancer history at all time points (p = 0.00). The level of CRF changed with time (p = 0.02). A forward stepwise regression demonstrated that psychological distress level, as measured by the Rotterdam Symptom Checklist (RSCL), was the only independent predictor of CRF during, anti-cancer treatment (p = 0.00). After treatment, both psychological distress level (p = 0.00) and physical symptom distress (p = 0.03) as measured by the RSCL were independent predictors of fatigue. Conclusions: Individuals with gynaecological cancer experienced significantly worse fatigue than non-cancer females during and after anti-cancer treatment. Psychological distress was found to be an important indicator of.CRF in this population. These findings indicate a need for further research regarding the management ofCRF in women with gynaecological cancer.
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Domrow, Nathan Craig. "Design, maintenance and methodology for analysing longitudinal social surveys, including applications." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16518/1/Nathan_Domrow_Thesis.pdf.

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This thesis describes the design, maintenance and statistical analysis involved in undertaking a Longitudinal Survey. A longitudinal survey (or study) obtains observations or responses from individuals over several times over a defined period. This enables the direct study of changes in an individual's response over time. In particular, it distinguishes an individual's change over time from the baseline differences among individuals within the initial panel (or cohort). This is not possible in a cross-sectional study. As such, longitudinal surveys give correlated responses within individuals. Longitudinal studies therefore require different considerations for sample design and selection and analysis from standard cross-sectional studies. This thesis looks at the methodology for analysing social surveys. Most social surveys comprise of variables described as categorical variables. This thesis outlines the process of sample design and selection, interviewing and analysis for a longitudinal study. Emphasis is given to categorical response data typical of a survey. Included in this thesis are examples relating to the Goodna Longitudinal Survey and the Longitudinal Survey of Immigrants to Australia (LSIA). Analysis in this thesis also utilises data collected from these surveys. The Goodna Longitudinal Survey was conducted by the Queensland Office of Economic and Statistical Research (a portfolio office within Queensland Treasury) and began in 2002. It ran for two years whereby two waves of responses were collected.
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Domrow, Nathan Craig. "Design, maintenance and methodology for analysing longitudinal social surveys, including applications." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16518/.

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This thesis describes the design, maintenance and statistical analysis involved in undertaking a Longitudinal Survey. A longitudinal survey (or study) obtains observations or responses from individuals over several times over a defined period. This enables the direct study of changes in an individual's response over time. In particular, it distinguishes an individual's change over time from the baseline differences among individuals within the initial panel (or cohort). This is not possible in a cross-sectional study. As such, longitudinal surveys give correlated responses within individuals. Longitudinal studies therefore require different considerations for sample design and selection and analysis from standard cross-sectional studies. This thesis looks at the methodology for analysing social surveys. Most social surveys comprise of variables described as categorical variables. This thesis outlines the process of sample design and selection, interviewing and analysis for a longitudinal study. Emphasis is given to categorical response data typical of a survey. Included in this thesis are examples relating to the Goodna Longitudinal Survey and the Longitudinal Survey of Immigrants to Australia (LSIA). Analysis in this thesis also utilises data collected from these surveys. The Goodna Longitudinal Survey was conducted by the Queensland Office of Economic and Statistical Research (a portfolio office within Queensland Treasury) and began in 2002. It ran for two years whereby two waves of responses were collected.
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Taylor, Candace Regina. "A longitudinal survey of household factors in childhood injury : the national maternal and infant health survey 1988-1991 /." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193272068374.

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Pollock, Gary Peter Samuel. "Young people's employment biographies since the Second World War : a longitudinal analysis." Thesis, University of Liverpool, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288117.

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Roorda, Matthew J. "Toronto area car ownersyhip study, a longitudinal survey and a preliminary analysis of results." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq40926.pdf.

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Choga, Ngonidzashe Nicholas. "The effects of monetary and non-monetary incentives on respondent attrition in longitudinal survey." Master's thesis, Faculty of Science, 2019. http://hdl.handle.net/11427/31393.

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Longitudinal studies are essential for governments and organizations as they help in making decisions that are based on factual data. Longitudinal studies collect data repeatedly from a set of participants over a period of time, enabling the tracking and studying of entity behaviour at individual, organizational, and national levels. One major challenge facing longitudinal data collection is the attrition of subjects during the course of the study, which is the continuous loss of participants during a longitudinal survey due to verbal drop-outs and non-response. Attrition can render datasets useless due to incomplete entries, making it one of the most significant weaknesses of longitudinal surveys. In order to explore the effects of incentives on attrition, this research project studies the effects of monetary and non-monetary incentives on explicit (subject says s/he does not want to be part of the study) and implicit (non-response) attrition. In particular, this study uses telephonically delivered feedback, derived from participant responses, as non-monetary incentives. To measure the effects of incentives on attrition, the study gave four treatments groups —50 participants each—mobile credit, verbally delivered feedback, machine delivered feedback and no incentive. After monitoring their attrition, over a 12-week period that involved bi-weekly surveys, a generalised linear model and Cochran’s q-test were used to find that monetary incentives remain the strongest in under-served community settings. It was not only found that monetary incentive treatments completed the most surveys most weeks, but also had the least explicit attrition. Surprisingly it was also found that machine delivered feedback performed similarly to mobile credit when the cost, social impact and participant behaviour in terms of their survey completion and attrition is assessed.
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Pachos, Alexander. "An Empirical Study of Cave Passage Dimensions Using Augmented Radial and Longitudinal Survey Data." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1221760340.

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Books on the topic "Longitudinal survey"

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Kronenberg, N. The Australian longitudinal survey: Sample design. Canberra: Bureau of Labour Market Research, 1985.

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Buck, N. H. Choosing a longitudinal survey design: The issues. Colchester: ESRC Research Centre on Micro-social Change, University of Essex, 1996.

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Australia. Dept. of Employment, Education, and Training. Economic and Policy Analysis Division. Australian longitudinal survey, 1985-1988: A research bibliography. Canberra: Australian Govt. Pub. Service, 1990.

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Laurie, Heather. Converting to CAPI in a longitudinal panel survey. Colchester: ESRC Research Centre on Micro-social Change, 1997.

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Great Britain. Department for Education and Skills. and National Foundation for Educational Research in England and Wales., eds. Citizenship education longitudinal study: Second annual report : first longitudinal survey : making citizenship education real. Nottingham: Department for Education and Skills, 2004.

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United States. Bureau of the Census. Self-study for field representatives: National longitudinal surveys, 1997 survey of women. [Washington, D.C.]: U.S. Dept. of Commerce, Economics and Statistics Administration, Bureau of the Census, 1997.

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Elliott, Delbert S. National youth survey, United States: Wave IV, 1979. Ann Arbor, Mich. (P.O. Box 1248, Ann Arbor, Mich. 48106): Inter-university Consortium for Political and Social Research, 1988.

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Douglas, Willms Jon, and Canada. Human Resources Development Canada. Applied Research Branch., eds. Vulnerable children: Findings from Canada's National Longitudinal Survey of Children and Youth. Edmonton: University of Alberta Press, 2002.

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Laurie, Heather. Strategies for reducing non-response in a longitudinal panel survey. Colchester: ESRC Research Centre on Micro-social Change, 1997.

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United States. Bureau of the Census. 2003 National Longitudinal Survey of Women (03NLSW): Field representative's manual. [Washington, D.C.]: U.S. Dept. of Commerce, Economics and Statistics Administration, U.S. Census Bureau, 2003.

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Book chapters on the topic "Longitudinal survey"

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Hadley, Roger, Adrian Webb, Christine Farrell, Hertford Seebohm, and Smith Reg. "The Longitudinal Survey." In Across the Generations, 83–104. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003207061-5.

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Lynn, Peter, and Peter J. Lugtig. "Total Survey Error for Longitudinal Surveys." In Total Survey Error in Practice, 279–98. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119041702.ch13.

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Kamen, Joseph M., and Abdul G. Azhari. "Interpreting Longitudinal Consumer Survey Results." In Proceedings of the 1984 Academy of Marketing Science (AMS) Annual Conference, 442–44. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16973-6_95.

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Hilmola, Olli-Pekka. "Longitudinal Survey Findings from Northern Europe." In The Sulphur Cap in Maritime Supply Chains, 101–11. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98545-9_6.

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Gu, Danan, Qiushi Feng, Huashuai Chen, and Yi Zeng. "Chinese Longitudinal Healthy Longevity Survey (CLHLS)." In Encyclopedia of Gerontology and Population Aging, 1–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-69892-2_968-1.

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Gu, Danan, Qiushi Feng, Huashuai Chen, and Yi Zeng. "Chinese Longitudinal Healthy Longevity Survey (CLHLS)." In Encyclopedia of Gerontology and Population Aging, 957–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-22009-9_968.

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Gu, Danan, Qiushi Feng, Huashuai Chen, and Yi Zeng. "Chinese Longitudinal Healthy Longevity Survey (CLHLS)." In Encyclopedia of Gerontology and Population Aging, 1–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-69892-2_968-3.

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Gu, Danan, Qiushi Feng, Huashuai Chen, and Yi Zeng. "Chinese Longitudinal Healthy Longevity Survey (CLHLS)." In Encyclopedia of Gerontology and Population Aging, 1–14. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-69892-2_968-4.

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Gu, Danan, Qiushi Feng, Huashuai Chen, and Yi Zeng. "Chinese Longitudinal Healthy Longevity Survey (CLHLS)." In Encyclopedia of Gerontology and Population Aging, 1–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-69892-2_968-2.

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Roberts, Caroline, and Marieke Voorpostel. "Combining Data Collection Modes in Longitudinal Studies." In Withstanding Vulnerability throughout Adult Life, 359–73. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-4567-0_22.

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AbstractTechnological advances over the past two decades have substantially changed the range of data collection methods available to survey researchers. Web-based surveys have gained in popularity as increasing Internet penetration rates improve their coverage potential for general population research. Nevertheless, they still systematically exclude certain subgroups—e.g., those without Internet access or those less able (or motivated) to complete a survey questionnaire on their own. A popular solution to this problem is to use other modes of data collection for those who cannot participate online. However, while mixed mode surveys can be effective at reducing selection errors, measurements obtained from different modes may not be comparable, particularly when it comes to sensitive topics. The fact that measurement and selection errors are confounded poses challenges for researchers analysing mixed mode data, and in a longitudinal setting, has implications for studying changes over time. In this chapter, we discuss these challenges in the context of longitudinal studies designed to measure indicators of vulnerability, and illustrate them with a synthesis of findings from our own research relating to (1) the effects of combining modes on response rates and the representativeness of survey samples and (2) effects for measurement comparability.
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Conference papers on the topic "Longitudinal survey"

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Zhang, Chen, and Nan Chen. "Statistical monitoring of longitudinal categorical survey data." In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2015. http://dx.doi.org/10.1109/ieem.2015.7385877.

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Young, Christopher. "Longitudinal Validation of the 5Essentials School Climate Survey." In 2020 AERA Annual Meeting. Washington DC: AERA, 2020. http://dx.doi.org/10.3102/1584753.

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"Examinating of Housing Service in the Moscow Longitudinal Household Survey (MHLS)." In 5th European Real Estate Society Conference: ERES Conference 1998. ERES, 1998. http://dx.doi.org/10.15396/eres1998_122.

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Khaled, Salma, Peter Haddad, Majid Al-Abdulla, Tarek Bellaj, Yousri Marzouk, Youssef Hasan, Ibrahim Al-Kaabi, et al. "Qatar - Longitudinal Assessment of Mental Health in Pandemics (Q-LAMP)." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0287.

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Aims: Q-LAMP aims to identify risk factors and resilience factors for symptoms of psychiatric illness during the pandemic. Study strengths include the 1-year longitudinal design and the use of standardized instruments already available in English and Arabic. The results will increase understanding of the impact of the pandemic on mental health for better support of the population during the pandemic and in future epidemics. Until an effective vaccine is available or herd immunity is achieved, countries are likely to encounter repeated ‘waves’ of infection. The identification of at-risk groups for mental illness will inform the planning and delivery of individualized treatment including primary prevention. Methodology: Longitudinal online survey; SMS-based recruitment and social media platforms advertisements e.g. Facebook, Instagram; Online consent; Completion time for questionnaires: approx. 20 to 30 minute; Baseline questionnaire with follow up at 3, 6, 9 and 12 months; Study completion date: Sept. 2021. Inclusion criteria: Currently living in Qatar; Qatari residents: citizens and expatriates; Age 18 years; read Arabic or English (questionnaire and consent form available in both languages). Instruments: Sociodemographic questionnaire including personal and family experience of COVID-19 infection; Standard instruments to assess psychiatric morbidity including depression, anxiety and PTSD; research team-designed instruments to assess social impact of pandemic; standard questionnaires to assess resilience, personality, loneliness, religious beliefs and social networks. Results: The analysis was based on 181 observations. Approximately, 3.5% of the sample was from the sms-recruitment method. The sample of completed surveys consisted of 65.0% females and 35.0% males. Qatari respondents comprised 27.0% of the total sample, while 52% of the sample were married, 25% had Grade 12 or lower level of educational attainment, and 46.0% were unemployed. Covid-19 appears to have affected different aspects of people’s lives from personal health to living arrangements, employment, and health of family and friends. Approximately, 41% to 55% of those who responded to the survey perceived changes in their stress levels, mental health, and loneliness to be worse than before the pandemic. Additionally, the wide availability of information about the pandemic on the internet and social media was perceived as source of pandemic-related worries among members of the public. Conclusion: The continued provision of mental health service and educational campaigns about effective stress and mental health management is warranted.
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Mitra, Saptashwa, Yu Qiu, Haley Moss, Kaigang Li, and Sangmi Lee Pallickara. "Effective Integration of Geotagged, Ancilliary Longitudinal Survey Datasets to Improve Adulthood Obesity Predictive Models." In 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2018. http://dx.doi.org/10.1109/trustcom/bigdatase.2018.00263.

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Stadin, M., M. Nordin, A. Broström, LL Magnusson Hanson, H. Westerlund, and EI Fransson. "The ICT demands index included in the Swedish Longitudinal Occupational Survey of Health (SLOSH)." In Das Soziale in Medizin und Gesellschaft – Aktuelle Megatrends fordern uns heraus 56. Jahrestagung der Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP). Georg Thieme Verlag KG, 2021. http://dx.doi.org/10.1055/s-0041-1732028.

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Stadin, M., M. Nordin, A. Broström, LL Magnusson Hanson, H. Westerlund, and EI Fransson. "The ICT demands index included in the Swedish Longitudinal Occupational Survey of Health (SLOSH)." In Das Soziale in Medizin und Gesellschaft – Aktuelle Megatrends fordern uns heraus 56. Jahrestagung der Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP). Georg Thieme Verlag KG, 2021. http://dx.doi.org/10.1055/s-0041-1732028.

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Timofeeva, Anastasiia. "THE FAMILY INFLUENCE ON ENGINEERING STUDENTS� CAREER CHOICE: EVIDENCE FROM THE RUSSIAN LONGITUDINAL MONITORING SURVEY." In 4th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS Proceedings. STEF92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/35/s13.072.

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Goldstein, Rina, Sean Madden, Allegra Nevins, Monica Tomlinson, Diana Martins-Welch, and Nehal Vadhan. "Impact of recreational cannabis legalization on cannabis use patterns in the NY metropolitan area: A longitudinal survey." In 2022 Annual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.02.000.47.

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Introduction. In March of 2021, limited recreational cannabis use was legalized in New York (NY) State. The effects of this legalization on cannabis use patterns remain unclear. This study aims to assess changes in cannabis use patterns and the reasons behind those changes following legalization. Methods. 646 cannabis users from the NY metropolitan area who completed a baseline online survey in 2018 on cannabis use patterns and related variables were contacted via email to complete a follow-up survey that included additional items related to legalization. 135 adults (F=56, M=75, T/O=4) have completed the survey in a 6-week recruitment period thus far. Respondents’ mean age at the time of the current survey was 36.1 (SD=8.5). Most respondents reported being college-educated (68.1%) and employed (81.0%), and the racial/ethnic breakdown was as follows: White=53.3%; Hispanic=18.5%; mixed/other=17.4%; Black=7.4%; Asian=2.2%. Results. Respondents reported using cannabis more for recreational than for medicinal purposes (48.46% vs 51.28% on a scale of 0 (fully recreational) -100 (fully medicinal); p=0.011) and reported spending $10.96 more as a minimum (p=0.031) and $49.61 more as a maximum (p=0.008) dollar amount, on average, on cannabis per week after legalization (relative to before legalization). Fewer participants reported vaping as a route of administration following legalization (48.9%) compared to pre-legalization (65.9%; p=0.002). The primary type of cannabis use differed from pre- to post-legalization (p=0.020), with primarily THC-composed cannabis seemingly increasing (73.3% vs 84.4%) relative to other cannabinoids following legalization. Finally, more participants reported hallucinogen use after legalization relative to before legalization (p=0.013). Conclusions. These data suggested that in a sample of regular cannabis users, some self-reported cannabis use patterns changed after legalization of recreational cannabis use in the NY metropolitan area. Cannabis use for recreational purposes increased relative to medicinal purposes, as did certain cannabis spend parameters, proportional THC use, and hallucinogen use. Reported vaping of cannabis decreased, which speculatively could be related to respiratory concerns associated with vaping interacting with the ongoing COVID-19 pandemic, rather than legalization per se. These results may inform policy and treatment initiatives regarding cannabis.
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Dong, Jing, Zhenhong Lin, Changzheng Liu, and Yanghe Liu. "Assessing Grid Impact of Battery Electric Vehicle Charging Demand Using GPS-Based Longitudinal Travel Survey Data." In SAE 2014 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2014. http://dx.doi.org/10.4271/2014-01-0343.

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Reports on the topic "Longitudinal survey"

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Murphy, Joe J., Michael A. Duprey, Robert F. Chew, Paul P. Biemer, Kathleen Mullan Harris, and Carolyn Tucker Halpern. Interactive Visualization to Facilitate Monitoring Longitudinal Survey Data and Paradata. RTI Press, May 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0061.1905.

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Surveys often require monitoring during data collection to ensure progress in meeting goals or to evaluate the interim results of an embedded experiment. Under complex designs, the amount of data available to monitor may be overwhelming and the production of reports and charts can be costly and time consuming. This is especially true in the case of longitudinal surveys, where data may originate from multiple waves. Other such complex scenarios include adaptive and responsive designs, which were developed to act on the results of such monitoring to implement prespecified options or alternatives in protocols. This paper discusses the development of an interactive web-based data visualization tool, the Adaptive Total Design (ATD) Dashboard, which we designed to provide a wide array of survey staff with the information needed to monitor data collection daily. The dashboard was built using the R programming language and Shiny framework and provides users with a wide range of functionality to quickly assess trends. We present the structure of the data used to populate the dashboard, its design, and the process for hosting it on the web. Furthermore, we provide guidance on graphic design, data taxonomy, and software decisions that can help guide others in the process of developing their own data collection monitoring systems. To illustrate the benefits of the dashboard, we present examples from the National Longitudinal Study of Adolescent to Adult Health (Add Health). We also discuss features of the dashboard to be developed for future waves of Add Health.
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Berzofsky, Marcus E., Andrew Moore, G. Lance Couzens, Lynn Langton, and Chris Krebs. Potential Survey Error Due to a Panel Design: A Review and Evaluation of the National Crime Victimization Survey. RTI Press, July 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0039.2007.

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We use a total survey error approach to examine and make recommendations on how to adjust for non-sampling error in longitudinal, mixed-mode surveys. Using data from the National Crime Victimization Survey (NCVS), we examine three major sources of non-sampling error: telescoping, mode effects, and fatigue. We present an assessment of each source of error from a total survey error perspective and propose alternative adjustments to adjust better for this error. Findings suggest that telescoping and fatigue are likely sources of error in the NCVS, but the use of mixed-modes is not. Furthermore, both telescoping and fatigue are present in longitudinal surveys and accounting for one but not the other results in estimates that under- or overestimate the measures of interest—in this case, the rate of crime in the United States.
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Cardona-Sosa, Lina Marcela, Leonardo Fabio Morales-Zurita, Julian Londoño, and Luz Adriana Flórez. The Returns from Training in Colombia: Evidence from a Longitudinal Survey. Bogotá, Colombia: Banco de la República, August 2018. http://dx.doi.org/10.32468/be.1048.

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4

Steckel, Richard, and Jayanthi Krishnan. Wealth Mobility in America: A View from the National Longitudinal Survey. Cambridge, MA: National Bureau of Economic Research, August 1992. http://dx.doi.org/10.3386/w4137.

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5

Harris, Beverly C., Kathryn Wochinger, Jeffrey P. Schwartz, and Larry Parham. Longitudinal Research on Officer Careers: Volume 5. Codebook for the 1992 Survey. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada271103.

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6

Panagopoulos, Orestis, Gökçe Soydemir, and Xun Xu. Altamont Pass Commuter Study: A Longitudinal Analysis of Perceptions and Behavior Change. Mineta Transportation Institute, September 2020. http://dx.doi.org/10.31979/mti.2020.1917.

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The Altamont Pass commuter survey study examines commuters’ perceptions and behaviors towards public transportation during 2019-2020. Results are compared with surveys conducted in 2000 and 2006 to investigate whether there have been any longitudinal changes in the perceptions and behaviors of Altamont Pass commuters over the twenty-year interval. As the previous surveys do, this study focuses on the same three counties, namely, San Joaquin, Stanislaus, and Merced that comprise the Northern San Joaquin Valley (NSJV). When compared with the previous surveys, these findings reveal some significant differences of responses to most questions, and minor differences of responses to other questions, prompting several important conclusions.
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Araujo, María Caridad, and Norbert Schady. Ecuador Longitudinal Survey of Child Health and Development, Rounds 1-5 (2003-2014). Inter-American Development Bank, June 2020. http://dx.doi.org/10.18235/0002415.

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8

Hauser, Robert. Survey Design and Methodology in the Health and Retirement Study and the Wisconsin Longitudinal Study. Institute for Social Research, University of Michigan, 2005. http://dx.doi.org/10.7826/isr-um.06.585031.001.05.0012.2005.

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9

Norton, Edward, Lauren Hersch Nicholas, and Sean Sheng-Hsiu Huang. Informal Care and Inter-vivos Transfers: Results from the National Longitudinal Survey of Mature Women. Cambridge, MA: National Bureau of Economic Research, April 2013. http://dx.doi.org/10.3386/w18948.

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Bajracharya, Ashish, and Sajeda Amin. Poverty, marriage timing, and transitions to adulthood in Nepal: A longitudinal analysis using the Nepal Living Standards Survey. Population Council, 2010. http://dx.doi.org/10.31899/pgy3.1022.

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