Kelvyn Jones

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Kelvyn Jones, FBA, FAcSS, FLSW (born (1953-10-31) 31 October 1953 (age 65))[1][2] is a British professor (Emeritus) of human quantitative geography at the University of Bristol.[3] He focuses on the quantitative modeling of social science data with complex structure through the application of multilevel models; especially in relation to change and health outcomes.[4]

Kelvyn Jones

Kelvyn Jones photographed in 2016.jpg
Jones in 2016
Born (1953-10-31) 31 October 1953 (age 65)
ResidenceUnited Kingdom
Alma materBSc, PhD, University of Southampton
Known forContributions to Multilevel Modelling; Health Geography
AwardsMurchison Award, 2013
Scientific career
FieldsQuantitative social science, Human Geography
InstitutionsUniversity of Newcastle,University College Swansea,University of Reading,Portsmouth Polytechnic,University of Portsmouth,Bristol University,University of Leuven
ThesisGeographical Variations in Mortality (1980)
Doctoral advisorsNeil Wrigley, David Pinder
InfluencesPeter Haggett, Ron Johnston (geographer), Graham Woosnam Socratic Method

Academic controversies[edit]

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

  • He has disagreed with the Wilkinson inequality hypothesis that within country differences in health and mortality are driven by invidious comparison; instead arguing that there is a materialist argument based on poverty even in advanced economies.[5] The argument is based on critique of Wilkinson's use of aggregate data and supports the ideas of Hugh Gravelle that if there is a non-linear individual relationship between income and ill-health then the aggregate relationship will necessarily involve the 'spread' (standard deviation) of country income that is inequality.[6]
  • He has argued against Growth in a Time of Debt thesis and (with Andy Bell) re-analyzed the Reinhart and Rogoff data to show that the evidence for many counties is that the relationship is around the other way - the lack of growth produces debt,[7] and that the relationship between debt and growth varies significantly between countries, meaning that an average "rule", such as that suggested by Reinhart and Rogoff, has little meaning or policy relevance.[8]
  • With colleagues, he has argued against Trevor Phillips that the UK is 'sleep walking to segregation', finding that ethnic residential segregation in London for example is decreasing.[9] They dispute that Muslim ghettoes are developing in British cities,[10] and that Australian suburbs are being 'swamped' by Asians and Muslims.[11]
  • He has argued that quantitative analysis in the form of quantitative geography has an important role in emancipatory human geography (see critical geography). He has argued that this involves adopting a realist philosophy of science distinguished as critical realism and not positivism. The arguments are made in "The Practice of Quantitative Methods"[12] and are further developed and exemplified with colleagues in "Mutual misunderstanding and avoidance, misrepresentations and disciplinary politics: spatial science and quantitative analysis in (United Kingdom) geographical curricula"[13] and a subsequent extended reply to critics in "One step forward but two steps back to the proper appreciation of spatial science".[14] One commentator described this as "an extraordinary contribution. This is a panoramic survey of the legacy of half a century of innovation in spatial science—put into a critical, constructive engagement with half a century of innovation in critical social theory".[15]
  • He (with colleagues) has challenged the 'gold standard' that fixed effects should be the standard approach to the analysis of Panel data and that a Hausman test is an appropriate way of choosing between a Fixed effects model and a Random effects model. Somewhat controversially they argue that a particular form of the random effects model (the within-between model or the similar Mundlak model) offers all that fixed effects can provide and more.[16][17][18] They also challenge the Fixed Effects Vector Decomposition (FEVD) model of Plumper and Troeger.[19] One reaction was: "This paper and the instructive controversial over FEVD have shown me that my econometrics training had not - as I once assumed - taught me all that there is to know about fixed effects estimation. In particular, the authors' treatment of 'heterogeneity bias' clarifies the importance of addressing both 'within' and 'between' variation in the data and they make a compelling case for considering both 'individual' and 'ecological' influences".[20] Another was: "Bizarre and often incorrect paper by two political scientists on the virtues of random-effects over fixed-effects".[21] to "You can and should use a well-specified random effects model. Always.".[22]
  • He and colleagues argue that group-mean centering in multilevel models can be a useful procedure in random coefficient models,[23] thereby disagreeing that it is a 'dangerous' procedure.[24] Reactions to this critique include "may the Saints & Angels protect us from ever having a paper this thoroughly dismantled"[25] and "Seriously though, if you are interested in multilevel modelling I highly recommend this short, instructive and frankly rather sassy paper." [26]
  • He contends that even with population data (e.g. a full enumeration of all pupils in all schools in a country), a statistical inference approach is required to deal with stochastic or natural variation. Observed outcomes are seen as a result of a stochastic process which could produce different results under the same circumstances. It is this underlying process that is of interest and the actual observed values give only an imprecise estimate of this.[27][28][29]
  • Working with Andy Bell, he has argued that the multilevel model (in the form of the hierarchical-age–period–cohort (HAPC) model) is not an automatic solution to the identification problem of the age period cohort model. This third-party site considers some earlier papers in the exchange between Bell and Jones and Yang and Land,[30] while this most recent paper gives in Table 1 the key papers (and arguments made).;[31] the full list of papers that Bell and Jones have written are available for download from Research Gate.[32]

Academic work and projects[edit]

He researches in three main areas:[33]

  • Geography of health: particularly geographical inequalities in mortality in advanced economies;
  • Research design: especially to develop evidence-based research in non-experimental, observational studies;
  • Realistically complex modelling: this research work focuses on the quantitative analysis of social-science data with complex structure, particularly when there are many levels of analysis such as panels, spatial series, and space-time series.

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

Substantive research

  • Geography of health [34]
  • Macro determinants of health;[35]
  • Multilevel modelling of health-related behaviors and outcomes [36]
  • Multilevel modelling of mental health outcomes[37]
  • Multilevel modelling of social capital, trust and volunteering [38]
  • Multilevel modelling of voting behaviors and electoral outcomes [39]
  • Forecasting geographical variations in the EU referendum[40]
  • Multilevel modelling of socio-demographic variation in China [41]
  • Modelling segregation: applying the new methodologies [42]
  • Multilevel modelling of property(house) prices [43]
  • Multilevel modelling of sporting outcomes [44]

Methodological research

  • Quantitative geography [45]
  • Statistical data analysis in the social sciences [46]
  • Multilevel modelling: scope, models and issues[47]
  • Multilevel analysis, software, manuals and data [48]
  • Fixed and Random effects analysis [49]
  • Modelling segregation: methodological developments;[50] this includes work on the Modifiable Areal Unit Problem;[51]
  • Modelling interactions: analysis of large tables of counts using a Poisson random effects model [52]
  • Age period cohort analysis [53]

Access to publications and citations[edit]

  • A Google Scholar profile gives up-to-date citation of his work.[54]
  • He makes available much of his academic output on Research Gate,[55] where he frequently answers questions on statistical (especially multilevel) modeling.;[56] he has also explained his reasons for doing so in answer to a question on the site [57] As of March 2019, he has had some 0.7 million 'reads' on Research Gate and this is accruing at a rate of around 4,000 per week.[58]
  • There are also a ResearcherID site;[4] an ORCID site;[59] and a database of publications at the University of Bristol.[60]

Posts held[edit]

University of Newcastle, 1978-1979, Lecturer in Geography,;[61] 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- 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 [62]

Voluntary positions include: RAE Panel Member for Geography 2001;[63] RAE Panel Member for Geography and Environmental Studies 2008;[64] Board Member of Bristol University Press, 2018-;[65] Member of Understanding Society Scientific Advisory Committee, 2018-;[66] Scrutiny Committee for Fellowship of the Learned Society of Wales (Economic and Social Sciences, Education and Law), 2016-.[67]

Recognition and awards[edit]

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.”[68] He is also a Fellow of the Learned Society of Wales, having been elected in 2013,[69] and an Academician of the Social Sciences, elected in 2008.[70] He was awarded the Murchison Award of the Royal Geographical Society in 2013 for his contribution to quantitative geography;[71] an account of the ceremony was published in The Geographical Journal.[72]

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.[73]

As of 2009, he was listed in the top 20 most cited human geographers of the last half century.[74][75] and since then his h-index as measured by Researcher ID has increased from 20 to 34 in 2019;[76] comparable figures for different social sciences can be found in the LSE impact blog.[77] His Rgate Score as of September 2019 is over 275,[78] and that compares to the outlying high scores of over 100 identified by E. Oduna-Malea et al., 2017 [79] reflecting his willingness to answer questions.

Postgraduate teaching and supervision[edit]

He has taught a course on multilevel modeling annually at the Essex Summer School in Social Science Data analysis since 1992[80] and is a long term contributor to the Masters in Statistics and the Masters in Quantitative Social Science at the Leuven Statistics Research Centre.[81] He also two led two five-day workshops (2009 and 2011) in Pennsylvania State University and UC Santa Barbara under the aegis of[82]

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

Major publications[edit]

Book length publications include:

  • Jones, Kelvyn and Moon, Graham (1987). Health, disease and society: a critical medical geography, Routledge & Kegan Paul Ltd, London.[127]
  • Jones Kelvyn (1991). Multi-level Models for Geographical Research, Environmental Publications, Norwich.[128]
  • Moon, Graham; Gould, Myles; Jones, Kelvyn et al. (2000). Epidemiology, Open University Press, Buckingham.[129]
  • Mohan, John; Barnard, Steve; Jones, Kelvyn and Twigg, Lizbeth (2004). Social capital, place and health: creating, validating and applying small-area indicators in the modelling of health outcomes, Health Development Agency.[130]
  • Jones, Kelvyn and Subramanian, SV (2014). Developing multilevel models for analysing contextuality, heterogeneity and change using MLwiN, Volume 1, Centre for Multilevel Modelling, University of Bristol, United Kingdom.[131]
  • Jones, Kelvyn and Subramanian, SV (2013). Developing multilevel models for analysing contextuality, heterogeneity and change using MLwiN, Volume 2, Centre for Multilevel Modelling, University of Bristol, United Kingdom.[132]


  1. ^ "Professor Kelvyn Jones | British Academy". 2015-04-09. Retrieved 2017-07-20.
  2. ^ "2016: Professor Kelvyn Jones, FBA | School of Geographical Sciences | University of Bristol". Retrieved 2017-07-20.
  3. ^ Professor Kelvyn Jones. University of Bristol. Retrieved 20 July 2017.
  4. ^ a b "Kelvyn Jones A-3939-2011 -". Retrieved 8 September 2017.
  5. ^ 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. ^ 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.
  8. ^ Jones, Kelvyn; Bell, Andrew; Johnston, Ron (May 15, 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.[self-published source?]
  9. ^ a b 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.
  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.
  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.
  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
  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
  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.
  15. ^ Wyly, E. 2014. The new quantitative revolution. Dialogues in Human Geography 4(1): 26–38.
  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.
  17. ^ "Fixed and Random effects: making an informed choice (PDF Download Available)". ResearchGate. Retrieved 8 September 2017.
  18. ^ "Is there some other method other than hausman test to decide..." 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.
  20. ^ Geoffrey Thomas Pugh
  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. May 27, 2014.
  23. ^ 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.
  24. ^ 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.
  25. ^ "Andrew MacDonald on Twitter".
  26. ^ "Andrew MacDonald on Twitter".
  27. ^ a b 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.
  28. ^ "Why can't a statistical test of significance (inferential..." Retrieved 8 September 2017.
  29. ^ "Are p-values and significance tests still meaningful in..." Retrieved 8 September 2017.
  30. ^ says, Dwayne Woods (20 July 2015). "Recent clarifications in age-period-cohort analysis". Retrieved 8 September 2017.
  31. ^ 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.
  32. ^ Age-period- cohort project site on Research Gate:
  33. ^ These are listed on his University of Bristol website:
  34. ^ "Geography of health". ResearchGate.
  35. ^ Project site on Research Gate:
  36. ^ "Multilevel modelling of health-related behaviors and outcomes". ResearchGate.
  37. ^ "Multilevel modelling of mental health outcomes". ResearchGate.
  38. ^ "Multilevel modelling of social capital, trust and volunteering". ResearchGate.
  39. ^ "Multilevel modelling of voting behaviors and electoral outcomes". ResearchGate.
  40. ^ "Forecasting geographical variations in the EU referendum". ResearchGate.
  41. ^ "Multilevel modelling of socio-demographic variation in China". ResearchGate.
  42. ^ "Modelling segregation: applying the new methdologies". ResearchGate.
  43. ^ "Multilevel modelling of property(house) prices". ResearchGate.
  44. ^ "Multilevel modelling of sporting outcomes". ResearchGate.
  45. ^ "Quantitative geography". ResearchGate.
  46. ^ "Statistical data analysis in the social sciences (non multilevel papers)". ResearchGate.
  47. ^ "Multilevel modelling: scope, models and issues". ResearchGate.
  48. ^ "Multilevel analysis, software, manuals and data (as worksheets)". ResearchGate.
  49. ^ "Fixed and Random effects". ResearchGate.
  50. ^ Project site on Research Gate:
  51. ^ 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.
  52. ^ "Modelling interactions: analysis of large tables of counts using a Poisson random effects model". ResearchGate.
  53. ^ "Age period cohort". ResearchGate.
  54. ^ "Kelvyn Jones, FBA FLSW - Google Scholar Citations". Retrieved 8 September 2017.
  55. ^ "Kelvyn Jones". Retrieved 8 September 2017.
  56. ^ "Log in". Retrieved 8 September 2017.
  57. ^ Which_researcher_has_the_highest_RG_score_and_what_does_that_really_mean?
  58. ^ Research Gate weekly statistics at
  59. ^ "Kelvyn Jones (0000-0001-8398-2190) - ORCID - Connecting Research and Researchers". Retrieved 8 September 2017.
  60. ^ University of Bristol Kelvyn Jones Research Outputs
  61. ^ According to entry in Who's Who (UK)
  62. ^ "Prestigious honour for former professor - UoP News".
  63. ^ "Panel Members".
  64. ^
  65. ^ "Bristol University Press". Bristol University Press.
  66. ^ "Meet the team - Understanding Society".
  67. ^ Wales, The Learned Society of. "B3 Economic and Social Sciences, Education and Law - The Learned Society of Wales".
  68. ^ Bristol, University of. "Professor Kelvyn Jones - School of Geographical Sciences". Retrieved 8 September 2017.
  69. ^ "Kelvyn Jones - The Learned Society of Wales". Retrieved 8 September 2017.
  70. ^ "Fellows - Academy of Social Sciences". Retrieved 8 September 2017.
  71. ^ "2013 medals and awards". Retrieved 8 September 2017.
  72. ^ 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.
  73. ^
  74. ^ 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.
  75. ^ Measuring the influentialness of economic geographers: career h indexes for human geographers "Archived copy". Archived from the original on 2017-08-13. Retrieved 2017-08-13. Cite uses deprecated parameter |deadurl= (help)CS1 maint: archived copy as title (link)
  76. ^
  77. ^ LSE impact blog Chapter 3 Key measures of academic influence
  78. ^
  79. ^
  80. ^ Essex Summer School
  81. ^ LSTAT
  82. ^
  83. ^ 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. doi:10.1016/0277-9536(91)90332-7.
  84. ^ "Blog Post". Retrieved 8 September 2017.
  85. ^ 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.
  86. ^ Duncan, Craig; Jones, Kelvyn; Moon, Graham (1999). "Smoking and deprivation: Are there neighbourhood effects?". Social Science & Medicine. 48 (4): 497. doi:10.1016/S0277-9536(98)00360-8.
  87. ^ Duncan, Craig; Jones, Kelvyn; Moon, Graham (1998). "Context, composition and heterogeneity: Using multilevel models in health research". Social Science & Medicine. 46: 97–117. doi:10.1016/S0277-9536(97)00148-2.
  88. ^ Duncan, Craig; Jones, Kelvyn; Moon, Graham (1996). "Health-related behaviour in context: A multilevel modelling approach". Social Science & Medicine. 42 (6): 817. doi:10.1016/0277-9536(95)00181-6.
  89. ^ "Staff: Dr Craig Duncan - University of Portsmouth". Retrieved 8 September 2017.
  90. ^ 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.
  91. ^ 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.
  92. ^ 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.
  93. ^ 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.
  94. ^ Subramanian, S. V., Duncan, C., & Jones, K. (2000). “Illiterate people” and “illiterate places”: The Indian Evidence. Indian Social Science Review, 2(2), 237-274.
  95. ^ "S V Subramanian". S V Subramanian. Retrieved 8 September 2017.
  96. ^ "Dr Sarah Johns - School of Anthropology & Conservation - University of Kent". Retrieved 8 September 2017.
  97. ^ 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.
  98. ^ 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.
  99. ^ 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.
  100. ^ 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.
  101. ^ 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.
  102. ^ "Min-Hua Jen". Retrieved 8 September 2017.
  103. ^ 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. doi:10.15446/rsap.v16n2.38983.
  104. ^ Caicedo, Beatriz; Jones, Kelvyn (2014). "Investigating neighbourhood effects on health: Using community-survey data for developing neighbourhood-related constructs". Revista de Salud Pública. 16: 88–100. doi:10.15446/rsap.v16n1.38665.
  105. ^ "Beatriz Caicedo". Retrieved 8 September 2017.
  106. ^ Bristol Faculty of Science commendations for PhD thesis and viva,2014-15
  107. ^ Do multilevel models ever give different results?
  108. ^ Bristol, University of. "Dr Caroline Wright - School of Social and Community Medicine". Retrieved 8 September 2017.
  109. ^ Zhixin Feng wins Faculty Research Prize University of Bristol
  110. ^ 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.
  111. ^ 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.
  112. ^ 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.
  113. ^ 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.
  114. ^ "Dr Zhixin Frank Feng - Social Sciences: Ageing/Gerontology - University of Southampton". Retrieved 8 September 2017.
  115. ^ 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.
  116. ^ 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.
  117. ^ 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.
  118. ^ Sheffield, University of. "Andrew Bell - About us - Sheffield Methods Institute - The University of Sheffield". Retrieved 8 September 2017.
  119. ^ "Dewi Owen". Retrieved 8 September 2017.
  120. ^ 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.
  122. ^ "Yingyu Feng - Publications". Retrieved 8 September 2017.
  123. ^ Gwilym Owen best doctoral thesis Faculty of Social Sciences and Law Bristol
  124. ^ Owen, Gwilym; Harris, Richard; Jones, Kelvyn (2015). "Under examination". Progress in Human Geography. 40 (3): 394–412. doi:10.1177/0309132515580814.
  125. ^ 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.
  126. ^ "Gwilym Owen". Retrieved 8 September 2017.
  127. ^ Extract of Health, Disease and Society on Research Gate
  128. ^ Full text of Multilevel models for geographical research available at
  129. ^ Extracts of Epidemiology on <Research Gate
  130. ^ Full text of Social capital, place and health available on Research Gate
  131. ^ Developing multilevel models for analysing contextuality, heterogeneity and change: Complete Volume 1
  132. ^ Developing multilevel models for analysing contextuality, heterogeneity and change: Complete Volume 2