Kelvyn Jones

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Kelvyn Jones

Kelvyn Jones photographed in 2016.jpg
Jones in 2021
Born (1953-10-31) 31 October 1953 (age 70)
Alma materBSc, PhD, University of Southampton
Known forContributions to Multilevel Modelling; Health Geography
Awards Murchison Award, 2013
Scientific career
Fields Quantitative social science, Human Geography
InstitutionsUniversity of Newcastle,University College Swansea,University of Reading,Portsmouth Polytechnic,University of Portsmouth,Bristol University,University of Leuven
Thesis Geographical Variations in Mortality  (1980)
Doctoral advisors Neil Wrigley, David Pinder

Kelvyn Jones, FBA , FAcSS , FLSW (born 31 October 1953) [1] [2] is a British professor (Emeritus) of human quantitative geography at the University of Bristol. [3] He focuses on the quantitative modelling of social science data with complex structure through the application of multilevel models; especially in relation to change and health outcomes. Uniquely he is an elected Fellow of the British Academy, the Academy of the Social Sciences and the Learned Society of Wales. [4]

Contents

Academic controversies

He has been involved in a number of academic controversies, and these debates have been of a methodological and substantive nature. They include:

Academic work and projects

He researches in three main areas: [40]

His substantive and methodological work is wide-ranging and includes the following bodies of work:

Substantive research

Methodological research

Access to publications and citations

Posts held

University of Newcastle, 1978-1979, Lecturer in Geography,; [70] University College Swansea, 1979-1980, Lecturer in Geography; University of Reading, 1980-1981 SSRC Postdoctoral Fellow; Portsmouth Polytechnic (post 1992, University of Portsmouth) 1981- 1994, Lecturer, Principal Lecturer, Reader; Portsmouth University, 1994-2000, Professor of Geography (Personal Chair), Head of School (1997-2000); Catholic University of Brussels, 1992-2011, Professor of Social Science Methodology; University of Bristol, 2001-2018 Professor of Geography, (Personal Chair) (Head of School, 2005-2009 ); University of Bristol, 2018- Emeritus Professor of Geography; University of Leuven, 2011-2018 Professor at Leuven Statistics Research Centre (LStat).

His and other reflections on his time at Portsmouth (Polytechnic and University) were produced on his election to the British Academy [71]

Voluntary positions include: RAE Panel Member for Geography 2001; [72] RAE Panel Member for Geography and Environmental Studies 2008; [73] Board Member of Bristol University Press, 2018-; [74] Member of Understanding Society Scientific Advisory Committee, 2018-; [75] Scrutiny Committee for Fellowship of the Learned Society of Wales (Economic and Social Sciences, Education and Law), 2016-. [76]

Recognition and awards

The election to a Fellowship of the British Academy was in 2016 and he was elected both to Sociology, Demography and Social Statistics (Section 4) and to Anthropology and Geography (Section 3)). The citation on election reads ‘Kelvyn Jones is an internationally leading quantitative social scientist. He has made major contributions to the analysis and interpretation of large and complex data sets in a broad field of quantitative social sciences, including geography, and is extremely active in promoting training in quantitative analysis in the social sciences.” [77] He is also a Fellow of the Learned Society of Wales, having been elected in 2013, [78] and an Academician of the Social Sciences, elected in 2008. [79] He was awarded the Murchison Award of the Royal Geographical Society in 2013 for his contribution to quantitative geography; [80] an account of the ceremony was published in The Geographical Journal . [81]

2019 Market Research Society Silver Medal: he was part of the team (Ron Johnston, David Rossiter, Todd Hartman, Charles Pattie, David Manley and Kelvyn Jones) that won this award for best research paper, "Exploring constituency-level estimates for the 2017 British general election", which discusses the implications of constituency-level opinion polls as their predictive ability is improved. [82]

As of 2009, he was listed in the top 20 most cited human geographers of the last half century. [83] [84] and since then his h-index as measured by Web of Science Researcher ID (Publons) has increased from 20 to 43 in 2022; [85] comparable figures for different social sciences can be found in the LSE impact blog. [86] His Rgate Score as of May 2022 is over 400, [87] and that compares to the outlying high scores of over 100 identified by E. Oduna-Malea et al., 2017 [88] reflecting his willingness to answer questions.

Postgraduate teaching and supervision

He has taught a course on multilevel modeling annually at the Essex Summer School in Social Science Data analysis since 1992 [89] and is a long term contributor to the Masters in Statistics and the Masters in Quantitative Social Science at the Leuven Statistics Research Centre. [90] He also two led two five-day workshops (2009 and 2011) in Pennsylvania State University and UC Santa Barbara under the aegis of GISpopsci.org. [91]

He has supervised a number of students for their PhD; they include:

Major publications

Book length publications include:

Personal life

He married Christina Thrush in 1979; Tina died of Breast Cancer in 2020. His hobbies are listening to classical music, especially opera and song; gardening and 'allotmenteering', cooking, wine tasting and watching Bristol Rugby. They have a son, Alex, born in 1987 who is a Fellow of the Royal College of Anaesthetists. [147] [70]

Related Research Articles

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Research is "creative and systematic work undertaken to increase the stock of knowledge". It involves the collection, organization and analysis of evidence to increase understanding of a topic, characterized by a particular attentiveness to controlling sources of bias and error. These activities are characterized by accounting and controlling for biases. A research project may be an expansion of past work in the field. To test the validity of instruments, procedures, or experiments, research may replicate elements of prior projects or the project as a whole.

<span class="mw-page-title-main">Social science</span> Branch of science that studies society and its relationships

Social science is one of the branches of science, devoted to the study of societies and the relationships among individuals within those societies. The term was formerly used to refer to the field of sociology, the original "science of society", established in the 18th century. In addition to sociology, it now encompasses a wide array of academic disciplines, including anthropology, archaeology, economics, human geography, linguistics, management science, communication science, psychology and political science.

Computational archaeology describes computer-based analytical methods for the study of long-term human behaviour and behavioural evolution. As with other sub-disciplines that have prefixed 'computational' to their name, the term is reserved for methods that could not realistically be performed without the aid of a computer.

Social statistics is the use of statistical measurement systems to study human behavior in a social environment. This can be accomplished through polling a group of people, evaluating a subset of data obtained about a group of people, or by observation and statistical analysis of a set of data that relates to people and their behaviors.

<span class="mw-page-title-main">Quantitative research</span> All procedures for the numerical representation of empirical facts

Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.

The quantitative revolution (QR) was a paradigm shift that sought to develop a more rigorous and systematic methodology for the discipline of geography. It came as a response to the inadequacy of regional geography to explain general spatial dynamics. The main claim for the quantitative revolution is that it led to a shift from a descriptive (idiographic) geography to an empirical law-making (nomothetic) geography. The quantitative revolution occurred during the 1950s and 1960s and marked a rapid change in the method behind geographical research, from regional geography into a spatial science.

<span class="mw-page-title-main">Health geography</span>

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<span class="mw-page-title-main">Geography</span> Study of lands and inhabitants of Earth

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References

  1. "Professor Kelvyn Jones | British Academy". Britac.ac.uk. 9 April 2015. Archived from the original on 9 August 2017. Retrieved 20 July 2017.
  2. "2016: Professor Kelvyn Jones, FBA | School of Geographical Sciences | University of Bristol". Bristol.ac.uk. Archived from the original on 9 August 2017. Retrieved 20 July 2017.
  3. Kelvyn Jones website at the University of Bristol University of Bristol. Retrieved 9 February 2021.
  4. "Kelvyn Jones".
  5. 1 2 Jen, Min Hua; Jones, Kelvyn; Johnston, Ron (2009). "Global variations in health: Evaluating Wilkinson's income inequality hypothesis using the World Values Survey". Social Science & Medicine. 68 (4): 643–53. doi:10.1016/j.socscimed.2008.11.026. PMID   19095338.
  6. 1 2 Jen, Min Hua; Jones, Kelvyn; Johnston, Ron (2009). "Compositional and contextual approaches to the study of health behaviour and outcomes: Using multi-level modelling to evaluate Wilkinson's income inequality hypothesis". Health & Place. 15 (1): 198–203. doi:10.1016/j.healthplace.2008.04.005. PMID   18514014.
  7. Bell, Andrew; Johnston, Ron; Jones, Kelvyn (2015). "Stylised fact or situated messiness? The diverse effects of increasing debt on national economic growth" (PDF). Journal of Economic Geography. 15 (2): 449–72. doi:10.1093/jeg/lbu005. hdl:1983/6173c9ca-7003-43e3-91c0-729e9f38141a. Archived (PDF) from the original on 19 July 2018. Retrieved 13 July 2019.
  8. Jones, Kelvyn; Bell, Andrew; Johnston, Ron (15 May 2013). "Significant variation across countries means that simple conclusions regarding growth and debt, like those offered by Reinhart & Rogoff, have no policy relevance". British Politics and Policy blog. Archived from the original on 8 July 2015. Retrieved 28 August 2017.
  9. 1 2 Johnston, Ron; Jones, Kelvyn; Manley, David; Owen, Dewi (2016). "Macro-scale stability with micro-scale diversity: Modelling changing ethnic minority residential segregation - London 2001-2011". Transactions of the Institute of British Geographers. 41 (4): 389–402. doi:10.1111/tran.12142. hdl: 1983/27fe21c6-5d72-4c9b-81f3-7b0a3d06a96a . S2CID   147827437.
  10. Johnston, Ron; Manley, David; Jones, Kelvyn (2016). "In search of Britain's Muslim ghettoes". Environment and Planning A. 48 (9): 1684–90. doi:10.1177/0308518X16651873. hdl: 1983/df405198-c36d-475e-a557-30622baac768 . S2CID   148519388.
  11. Forrest, James; Johnston, Ron; Siciliano, Frank; Manley, David; Jones, Kelvyn (2017). "Are Australia's suburbs swamped by Asians and Muslims? Countering political claims with data". Australian Geographer . 48 (4): 1–16. doi:10.1080/00049182.2017.1329383. hdl: 1983/9a25e712-cfff-4fb2-8d44-081a08f6f7b4 . S2CID   149105818. Archived from the original on 24 September 2021. Retrieved 5 December 2019.
  12. Jones,Kelvyn (2011)The Practice of Quantitative Methods in Somekh, Bridget and Lewin, Cathy (eds.) Theory and methods in social research Sage Publications Ltd, 201-211, download from https://www.researchgate.net/publication/256801634_The_practice_of_quantitative_methods Archived 2017-09-20 at the Wayback Machine
  13. Johnston R, Harris R, Jones K, et al (2014) Mutual mis-understanding and avoidance, mis-representations, and disciplinary politics: spatial science and quantitative analysis in (UK) geographical curricula. Dialogues in Human Geography 4(1): 3–25 https://www.researchgate.net/publication/261054447 Archived 2021-09-24 at the Wayback Machine
  14. Johnston, R, et al. (2014) "One step forward but two steps back to the proper appreciation of spatial science." Dialogues in Human Geography 4.1 (2014): 59-69. https://www.researchgate.net/publication/261062153 Archived 2017-09-20 at the Wayback Machine
  15. Wyly, E. 2014. The new quantitative revolution. Dialogues in Human Geography 4(1): 26–38. http://journals.sagepub.com/doi/pdf/10.1177/2043820614525732 Archived 2021-09-24 at the Wayback Machine
  16. Bell, Andrew; Jones, Kelvyn (2014). "Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data". Political Science Research and Methods. 3 (1): 133–53. doi: 10.1017/psrm.2014.7 . hdl: 1983/765e997e-8231-47e4-abca-35cdd67b4ea9 .
  17. "Fixed and Random effects: making an informed choice (PDF Download Available)". ResearchGate. Archived from the original on 24 September 2021. Retrieved 8 September 2017.
  18. "Is there some other method other than hausman test to decide..." ResearchGate.net. Archived from the original on 13 August 2017. Retrieved 8 September 2017.
  19. Thomas Plumper; Vera E. Troeger (2011). "Fixed-Effects Vector Decomposition: Properties, Reliability, and Instruments" (PDF). Political Analysis. 19 (2): 147–164. doi:10.1093/pan/mpr008. Archived (PDF) from the original on 15 August 2017. Retrieved 13 August 2017.
  20. Geoffrey Thomas Pugh's page on Research Gate https://www.researchgate.net/profile/Geoffrey_Pugh/answers Archived 2017-09-20 at the Wayback Machine
  21. Tweet from Amitabh Chandra@amitabhchandra2
  22. Panel data within group estimator on StackExchange demonstrates results with R (programming language) code, see "panel data - within-group estimate - individual fixed effects retrieved". Stack Exchange . 27 May 2014. Archived from the original on 24 September 2021. Retrieved 11 June 2019.
  23. "Fixed and Random Effects Models". Archived from the original on 13 August 2020. Retrieved 24 November 2019.
  24. "A new package for panel data analysis in R". 19 May 2019. Archived from the original on 2 July 2020. Retrieved 24 November 2019.
  25. "Comparing 'panelr' and 'PLM' | R-bloggers". 21 May 2019. Archived from the original on 29 June 2019. Retrieved 24 November 2019.
  26. "Multilevel Modeling for Economists: Why, when and How". Archived from the original on 24 September 2021. Retrieved 10 July 2020.
  27. Hamaker, E. L., & Muthén, B. (2020). The fixed versus random effects debate and how it relates to centering in multilevel modelling. Psychological methods, 25(3), 365–379. https://doi.org/10.1037/met0000239 Archived 2021-09-24 at the Wayback Machine
  28. Bell, Andrew; Jones, Kelvyn; Fairbrother, Malcolm (2017). "Understanding and misunderstanding group mean centering: a commentary on Kelley et al.'s dangerous practice". Quality & Quantity. 52 (5): 2031–2036. doi:10.1007/s11135-017-0593-5. PMC   6096905 . PMID   30147154.
  29. Kelley, Jonathan; Evans, M. D. R.; Lowman, Jennifer; Lykes, Valerie (2016). "Group-mean-centering independent variables in multi-level models is dangerous". Quality & Quantity. 51: 261–83. doi:10.1007/s11135-015-0304-z. S2CID   147609147.
  30. "Andrew MacDonald on Twitter". Archived from the original on 24 September 2021. Retrieved 3 December 2017.
  31. "Andrew MacDonald on Twitter". Archived from the original on 24 September 2021. Retrieved 3 December 2017.
  32. Yaremych, H. E., Preacher, K. J., & Hedeker, D. (2021) Centering categorical predictors in multilevel models: Best practices and interpretation. Psychological Methods. https://doi.org/10.1037/met0000434
  33. 1 2 Jones, Kelvyn; Johnston, Ron; Manley, David; Owen, Dewi; Charlton, Chris (2015). "Ethnic Residential Segregation: A Multilevel, Multigroup, Multiscale Approach Exemplified by London in 2011". Demography. 52 (6): 1995–2019. doi:10.1007/s13524-015-0430-1. PMC   4644210 . PMID   26487190.
  34. "Why can't a statistical test of significance (inferential..." ResearchGate.net. Archived from the original on 13 August 2017. Retrieved 8 September 2017.
  35. "Are p-values and significance tests still meaningful in..." ResearchGate.net. Archived from the original on 13 August 2017. Retrieved 8 September 2017.
  36. says, Dwayne Woods (20 July 2015). "Recent clarifications in age-period-cohort analysis". Makimrudnev.com. Archived from the original on 11 August 2017. Retrieved 8 September 2017.
  37. Bell, Andrew; Jones, Kelvyn (2017). "The hierarchical age–period–cohort model: Why does it find the results that it finds?". Quality & Quantity. 52 (2): 783–799. doi:10.1007/s11135-017-0488-5. PMC   5847147 . PMID   29568132.
  38. Age-period- cohort project site on Research Gate: https://www.researchgate.net/project/Age-period-cohort Archived 2018-02-24 at the Wayback Machine
  39. 1 2 Barker, Kathryn M.; Dunn, Erin C.; Richmond, Tracy K.; Ahmed, Sarah; Hawrilenko, Matthew; Evans, Clare R. (2020). "Cross-classified multilevel models (CCMM) in health research: A systematic review of published empirical studies and recommendations for best practices". SSM - Population Health. 12: 100661. doi:10.1016/j.ssmph.2020.100661. PMC   7490849 . PMID   32964097. S2CID   221820440.
  40. These are listed on his University of Bristol website: http://www.bristol.ac.uk/geography/people/kelvyn-jones/research.html Archived 2018-02-18 at the Wayback Machine
  41. "Geography of health". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  42. Project site on Research Gate: https://www.researchgate.net/project/Macro-determinants-of-health Archived 2018-02-17 at the Wayback Machine
  43. "Multilevel modelling of health-related behaviors and outcomes". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  44. "Multilevel modelling of mental health outcomes". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  45. "Multilevel modelling of social capital, trust and volunteering". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  46. "Multilevel modelling of voting behaviors and electoral outcomes". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  47. "Forecasting geographical variations in the EU referendum". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  48. "Multilevel modelling of socio-demographic variation in China". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  49. "Modelling segregation: applying the new methdologies". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  50. "Multilevel modelling of property(house) prices". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  51. "Multilevel modelling of sporting outcomes". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  52. "Quantitative geography". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  53. "Statistical data analysis in the social sciences (non multilevel papers)". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  54. "Multilevel modelling: scope, models and issues". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  55. "Multilevel analysis, software, manuals and data (as worksheets)". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  56. "Fixed and Random effects". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  57. "MODELLING NATIONALLY PREDICTING LOCALLY (MRP) | Kelvyn Jones | Research Project".
  58. Project site on Research Gate: https://www.researchgate.net/project/Modelling-segregation-methodological-developments Archived 2018-02-18 at the Wayback Machine
  59. Jones, Kelvyn; Manley, David; Johnston, Ron; Owen, Dewi (2018). "Modelling residential segregation as unevenness and clustering: A multilevel modelling approach incorporating spatial dependence and tackling the MAUP". Environment and Planning B: Urban Analytics and City Science. 45 (6): 1122–1141. doi:10.1177/2399808318782703. S2CID   196059682.
  60. "Modelling interactions: analysis of large tables of counts using a Poisson random effects model". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
  61. "Age period cohort". ResearchGate. Archived from the original on 24 February 2018. Retrieved 18 December 2017.
  62. "Kelvyn Jones, FBA FLSW - Google Scholar Citations". scholar.google.co.uk. Archived from the original on 13 August 2017. Retrieved 8 September 2017.
  63. "Kelvyn Jones". ResearchGate.net. Archived from the original on 13 August 2017. Retrieved 8 September 2017.
  64. "Log in". ResearchGate.net. Archived from the original on 13 August 2017. Retrieved 8 September 2017.
  65. Which_researcher_has_the_highest_RG_score_and_what_does_that_really_mean?https://www.researchgate.net/post/Which_researcher_has_the_highest_RG_score_and_what_does_that_really_mean/1 Archived 2018-02-24 at the Wayback Machine
  66. Research Gate weekly statistics at https://www.researchgate.net/profile/Kelvyn_Jones/stats Archived 2016-01-03 at the Wayback Machine
  67. "Kelvyn Jones A-3939-2011 - ResearcherID.com". Researcherid.com. Retrieved 8 September 2017.
  68. "Kelvyn Jones (0000-0001-8398-2190) - ORCID - Connecting Research and Researchers". Orcid.org. Archived from the original on 13 August 2017. Retrieved 8 September 2017.
  69. University of Bristol Kelvyn Jones Research Outputs http://research-information.bristol.ac.uk/en/persons/kelvyn-jones(d70b4392-03cc-48b4-a3d8-d3cd6a2e3a3c)/publications.html Archived 2018-07-11 at the Wayback Machine
  70. 1 2 According to entry in Who's Who (UK)
  71. "Prestigious honour for former professor - UoP News". uopnews.port.ac.uk. Archived from the original on 27 February 2018. Retrieved 27 February 2018.
  72. "Panel Members". Rae.ac.uk. Archived from the original on 30 July 2013. Retrieved 2 March 2018.
  73. "UK Government Web Archive" (PDF). Archived (PDF) from the original on 26 April 2013. Retrieved 2 March 2018.
  74. "Bristol University Press". Bristol University Press. Archived from the original on 3 March 2018. Retrieved 2 March 2018.
  75. "Meet the team - Understanding Society". Understandingsociety.ac.uk. Archived from the original on 12 August 2019. Retrieved 2 March 2018.
  76. Wales, The Learned Society of. "B3 Economic and Social Sciences, Education and Law - The Learned Society of Wales". Archived from the original on 2 March 2018. Retrieved 2 March 2018.
  77. Bristol, University of. "Professor Kelvyn Jones - School of Geographical Sciences". Bristol.ac.uk. Archived from the original on 1 September 2017. Retrieved 8 September 2017.
  78. "Kelvyn Jones - The Learned Society of Wales". Learnedsociety.wales. Archived from the original on 9 August 2017. Retrieved 8 September 2017.
  79. "Fellows - Academy of Social Sciences". Acss.org.uk. Archived from the original on 30 June 2017. Retrieved 8 September 2017.
  80. "2013 medals and awards". Rgs.org. Archived from the original on 2 September 2017. Retrieved 8 September 2017.
  81. Rees, Judith; Palin, Michael; Richards, Keith; Jones, Kelvyn; Longley, Paul; Page, Susan (2013). "Geographical connections: Royal Geographical Society (with IBG) Medals and Awards ceremony 2013". The Geographical Journal. 179 (3): 283–90. doi:10.1111/geoj.12049.
  82. "MRS Silver Medal 2019 | MRS Article". Archived from the original on 26 June 2019. Retrieved 26 June 2019.
  83. Bodman, A. R. (2009). "Measuring the influentialness of economic geographers during the 'great half century': An approach using the h index". Journal of Economic Geography. 10 (1): 141–56. doi:10.1093/jeg/lbp061.
  84. Measuring the influentialness of economic geographers: career h indexes for human geographers "Archived copy". Archived from the original on 13 August 2017. Retrieved 13 August 2017.{{cite web}}: CS1 maint: archived copy as title (link)
  85. "Publons.com". publons.com. Archived from the original on 21 August 2016. Retrieved 14 September 2021.
  86. LSE impact blog Chapter 3 Key measures of academic influence http://blogs.lse.ac.uk/impactofsocialsciences/the-handbook/chapter-3-key-measures-of-academic-influence/ Archived 2018-04-30 at the Wayback Machine
  87. "Kelvyn JONES | Professor | FBA FLSW FAcSS PhD(Soton) BSc (Soton) | University of Bristol, Bristol | UB | School of Geographical Sciences".
  88. "do ResearchGate Scores create ghost academic reputations?". Archived from the original on 5 July 2018. Retrieved 2 June 2018.
  89. Essex Summer School http://essexsummerschool.com/ Archived 2017-09-12 at the Wayback Machine
  90. LSTAT https://lstat.kuleuven.be/ Archived 2017-09-12 at the Wayback Machine
  91. GISpopsci.org http://gispopsci.org/multilevel-modeling/ Archived 2017-09-12 at the Wayback Machine
  92. Jones, Kelvyn; Moon, Graham; Clegg, Andrew (1991). "Ecological and individual effects in childhood immunisation uptake: A multi-level approach". Social Science & Medicine. 33 (4): 501–8. doi:10.1016/0277-9536(91)90332-7. PMID   1948164.
  93. "Blog Post". Clahrc-nwc.nihr.ac.uk. Archived from the original on 9 September 2017. Retrieved 8 September 2017.
  94. Duncan, Craig; Jones, Kelvyn (2010). "Using Multilevel Models to Model Heterogeneity: Potential and Pitfalls". Geographical Analysis. 32 (4): 279. doi: 10.1111/j.1538-4632.2000.tb00429.x .
  95. Duncan, Craig; Jones, Kelvyn; Moon, Graham (1999). "Smoking and deprivation: Are there neighbourhood effects?". Social Science & Medicine. 48 (4): 497–505. doi:10.1016/S0277-9536(98)00360-8. PMID   10075175.
  96. Duncan, Craig; Jones, Kelvyn; Moon, Graham (1998). "Context, composition and heterogeneity: Using multilevel models in health research". Social Science & Medicine. 46 (1): 97–117. doi:10.1016/S0277-9536(97)00148-2. PMID   9464672.
  97. Duncan, Craig; Jones, Kelvyn; Moon, Graham (1996). "Health-related behaviour in context: A multilevel modelling approach". Social Science & Medicine. 42 (6): 817–30. doi:10.1016/0277-9536(95)00181-6. PMID   8778995.
  98. "Staff: Dr Craig Duncan - University of Portsmouth". Port.ac.uk. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  99. Jones, Kelvyn; Bullen, Nina (2016). "A Multi-level Analysis of the Variations in Domestic Property Prices: Southern England, 1980-87". Urban Studies. 30 (8): 1409. doi:10.1080/00420989320081341. S2CID   153993110.
  100. Bullen, N; Jones, K; Duncan, C (2016). "Modelling Complexity: Analysing Between-Individual and Between-Place Variation—A Multilevel Tutorial". Environment and Planning A. 29 (4): 585. doi:10.1068/a290585. S2CID   62061595.
  101. Jones, Kelvyn; Bullen, Nina (1994). "Contextual Models of Urban House Prices: A Comparison of Fixed- and Random-Coefficient Models Developed by Expansion". Economic Geography. 70 (3): 252–72. doi:10.2307/143993. JSTOR   143993.
  102. Subramanian, S V; Duncan, Craig; Jones, Kelvyn (2001). "Multilevel Perspectives on Modeling Census Data". Environment and Planning A. 33 (3): 399. doi:10.1068/a3357. S2CID   153811793.
  103. Subramanian, S. V., Duncan, C., & Jones, K. (2000). “Illiterate people” and “illiterate places”: The Indian Evidence. Indian Social Science Review, 2(2), 237-274.https://www.researchgate.net/publication/240038290_Illiterate_people orIlliterate_places_the_Indian_evidence
  104. "S V Subramanian". S V Subramanian. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  105. "Dr Sarah Johns - School of Anthropology & Conservation - University of Kent". Kent.ac.uk. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  106. French, Katherine Meriel; Jones, Kelvyn (2006). "Impact of definition on the study of avoidable mortality: Geographical trends in British deaths 1981–1998 using Charlton and Holland's definitions". Social Science & Medicine. 62 (6): 1443–56. doi:10.1016/j.socscimed.2005.08.002. PMID   16157433.
  107. Jen, Min Hua; Sund, Erik R; Johnston, Ron; Jones, Kelvyn (2010). "Trustful societies, trustful individuals, and health: An analysis of self-rated health and social trust using the World Value Survey". Health & Place. 16 (5): 1022–9. doi:10.1016/j.healthplace.2010.06.008. PMID   20621543.
  108. Jen, MIN HUA; Johnston, RON; Jones, Kelvyn; Harris, Richard; Gandy, Axel (2010). "International Variations in Life Expectancy: A Spatio-Temporal Analysis". Tijdschrift voor Economische en Sociale Geografie. 101: 73–90. doi:10.1111/j.1467-9663.2009.00518.x.
  109. "Min-Hua Jen". ResearchGate.net. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  110. Caicedo, Beatriz; Jones, Kelvyn (2014). "The role of the neighborhood, family and peers regarding Colombian adolescents' social context and aggressive behavior" (PDF). Revista de Salud Pública. 16 (2): 208–20. doi:10.15446/rsap.v16n2.38983. PMID   25383495. Archived (PDF) from the original on 11 August 2017. Retrieved 13 July 2019.
  111. Caicedo, Beatriz; Jones, Kelvyn (2014). "Investigating neighbourhood effects on health: Using community-survey data for developing neighbourhood-related constructs". Revista de Salud Pública. 16 (1): 88–100. doi:10.15446/rsap.v16n1.38665. PMID   25184455.
  112. B Caicedo-Velásquez, K Jones (2019) "Measuring neighbourhood social dimensions using individual responses: an application of multilevel factor analysis and ecometrics" Spatial and Spatio-temporal Epidemiology, DOI: 10.1016/j.sste.2019.100318
  113. "Beatriz Caicedo". ResearchGate.net. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  114. Bristol Faculty of Science commendations for PhD thesis and viva,2014-15 http://www.bris.ac.uk/science/courses/postgraduate/pg-commendations-1415/ Archived 2017-11-07 at the Wayback Machine
  115. Do multilevel models ever give different results? https://www.researchgate.net/publication/252146040_Do_multilevel_models_ever_give_different_results Archived 2017-09-11 at the Wayback Machine
  116. Bristol, University of. "Dr Caroline Wright - School of Social and Community Medicine". Bristol.ac.uk. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  117. Zhixin Feng wins Faculty Research Prize University of Bristol https://bris.ac.uk/news/2013/9933.html Archived 2017-11-07 at the Wayback Machine
  118. Feng, Zhixin; Wang, Wenfei Winnie; Jones, Kelvyn; Li, Yaqing (2012). "An exploratory multilevel analysis of income, income inequality and self-rated health of the elderly in China". Social Science & Medicine. 75 (12): 2481–2492. doi:10.1016/j.socscimed.2012.09.028. PMC   3696131 . PMID   23063218.
  119. Feng, Zhixin; Wang, Wenfei Winnie; Jones, Kelvyn (2013). "A multilevel analysis of the role of the family and the state in self-rated health of elderly Chinese". Health & Place. 23: 148–156. doi:10.1016/j.healthplace.2013.07.001. PMID   23906587.
  120. Feng, Z., Jones, K., & Wang, W. (2015) An exploratory discrete-time multilevel analysis of the effect of social support on the survival of the elderly in China. Social Science & Medicine, 130, 181-189.
  121. Feng, Zhixin; Vlachantoni, Athina; Liu, Xiaoting; Jones, Kelvyn (2016). "Social trust, interpersonal trust and self-rated health in China: A multi-level study". International Journal for Equity in Health. 15 (1): 180. doi: 10.1186/s12939-016-0469-7 . PMC   5101682 . PMID   27825358.
  122. "Dr Zhixin Frank Feng - Social Sciences: Ageing/Gerontology - University of Southampton". Southampton.ac.uk. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  123. Bell, Andrew; Jones, Kelvyn (2014). "Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data" (PDF). Political Science Research and Methods. 3: 133–153. doi: 10.1017/psrm.2014.7 . Archived (PDF) from the original on 22 July 2018. Retrieved 19 September 2019.
  124. Bell, A., & Jones, K. (2014). Another'futile quest'? A simulation study of Yang and Land's Hierarchical Age-Period-Cohort model. Demographic Research, 30, 333. https://www.demographic-research.org/Volumes/Vol30/11/ Archived 2017-09-10 at the Wayback Machine
  125. Bell, Andrew; Jones, Kelvyn (2013). "The impossibility of separating age, period and cohort effects" (PDF). Social Science & Medicine. 93: 163–165. doi:10.1016/j.socscimed.2013.04.029. PMID   23701919. Archived (PDF) from the original on 23 July 2018. Retrieved 13 July 2019.
  126. Sheffield, University of. "Andrew Bell - About us - Sheffield Methods Institute - The University of Sheffield". Sheffield.ac.uk. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  127. "Dewi Owen". ResearchGate.net. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  128. Feng, Yingyu; Jones, Kelvyn (2015). "Comparing multilevel modelling and artificial neural networks in house price prediction". 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM). pp. 108–114. doi:10.1109/ICSDM.2015.7298035. hdl:1983/4cb022a6-f18c-4859-819a-f562397648bc. ISBN   978-1-4799-7748-2. S2CID   13365013.
  129. FENG, Y.; JONES, K. (2016). "COMPARING TWO NEIGHBOURHOOD CLASSIFICATiONS: A MULTILEVEL ANALYSIS OF LONDON PROPERTY PRICE IN 2011-2014" (PDF). Prres.net. Archived (PDF) from the original on 8 September 2017. Retrieved 9 September 2017.
  130. "Yingyu Feng - Publications". ResearchGate.net. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  131. Gwilym Owen best doctoral thesis Faculty of Social Sciences and Law Bristol http://www.bris.ac.uk/news/2017/october/best-theses.html Archived 2017-11-07 at the Wayback Machine
  132. Owen, Gwilym; Harris, Richard; Jones, Kelvyn (2015). "Under examination". Progress in Human Geography. 40 (3): 394–412. doi:10.1177/0309132515580814. S2CID   143643469.
  133. Owen, Gwilym; Jones, Kelvyn; Harris, Richard (2017). "Does neighbourhood deprivation affect the genetic influence on body mass?". Social Science & Medicine. 185: 38–45. doi:10.1016/j.socscimed.2017.05.041. hdl: 1983/6428f6c9-e070-4543-8ead-da3fb36ebbd2 . PMID   28554157.
  134. "Gwilym Owen". ResearchGate.net. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
  135. Gareth J. Griffith, Kelvyn Jones (2019)"Understanding the population structure of the GHQ-12: Methodological considerations in dimensionally complex measurement outcomes", Social Science & Medicine,Volume 243,doi.org/10.1016/j.socscimed.2019.112638
  136. "Gareth Griffith". ResearchGate.net. Retrieved 10 June 2020.
  137. Gareth J.Griffith and KelvynJones (2020) When does geography matter most? Age-specific geographical effects in the patterning of, and relationship between, mental well being and mental illness, Health & Place, Volume 64, July 2020, 102401
  138. "Lucy PRIOR | ESRC Advanced Quantitative Methods PhD Student | University of Bristol, Bristol | UB | School of Geographical Sciences". ResearchGate.
  139. Lucy Prior, David Manley, Kelvyn Jones (2020) Stressed out? An investigation of whether allostatic load mediates associations between neighbourhood deprivation and health, Health and Place, 52, 25-33
  140. Lucy Prior, David Manley, Kelvyn Jones (2018) Ageing and cohort trajectories in mental ill-health: An exploration using multilevel models, PLOS ONE 15 (7), e0235594
  141. Extract of Health, Disease and Society on Research Gate https://www.researchgate.net/publication/234015155_Health_Disease_and_Society_A_Critical_Medical_Geography Archived 2017-09-15 at the Wayback Machine
  142. Full text of Multilevel models for geographical research available at http://www.ggy.bris.ac.uk/personal/KelvynJones/54-multi-level-models.pdf Archived 2009-09-20 at the Wayback Machine
  143. Extracts of Epidemiology on <Research Gate https://www.researchgate.net/publication/236671039_Epidemiology_An_Introduction Archived 2017-09-15 at the Wayback Machine
  144. Full text of Social capital, place and health available on Research Gate https://www.researchgate.net/publication/242472074/ Archived 2017-10-15 at the Wayback Machine
  145. Developing multilevel models for analysing contextuality, heterogeneity and change: Complete Volume 1 https://www.researchgate.net/publication/260771330 Archived 2017-09-15 at the Wayback Machine
  146. Developing multilevel models for analysing contextuality, heterogeneity and change: Complete Volume 2 https://www.researchgate.net/publication/260772180 Archived 2017-09-15 at the Wayback Machine
  147. "Kelvyn Jones". University of Bristol. Archived from the original on 31 October 2020. Retrieved 31 January 2021.