Kelvyn Jones, FBA,FAcSS,FLSW (born (1953-10-31)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]
University of Newcastle,University College Swansea,University of Reading,Portsmouth Polytechnic,University of Portsmouth,Bristol University,University of Leuven
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] These models shown algebraically in the table for a two-level panel model are discussed and illustrated with snippets of R code by Daniel Lüdecke,[23] and there is a R package (panelr) for panel data analysis by Jacob Long that facilitates their implementation.[24][25] An extensive review of the potential of this approach in economics concluded that it has been "unreasonably ignored" due in part to "disciplinary isolation" of the subject.[26] In the psychological literature, Hamaker and Muthén, (2020) [27] report that “The most elaborate and animated treatment of the connection [between FE versus RE models and centering in multilevel models] can be found in the recent paper of Bell and Jones (2015). They build a compelling case for multilevel modelling, arguing that, while the problem of endogeneity is very real, the point is that we should simply use the right multilevel model to tackle it (i.e., based on person mean centering the time-varying covariate and/or including these means as a predictor at the between-level)”
He and colleagues argue that group-mean centering in multilevel models can be a useful procedure in random coefficient models,[28] thereby disagreeing that it is a 'dangerous' procedure.[29] Reactions to this critique include "may the Saints & Angels protect us from ever having a paper this thoroughly dismantled"[30] and "Seriously though, if you are interested in multilevel modelling I highly recommend this short, instructive and frankly rather sassy paper."[31] The essence of the argument is that in a two-level model, the slope parameter associated with level-1 variable is a potentially uninterpretable mixture of within and between effects. The solution is to decentre the level-1 variable by subtracting the level 2 cluster mean and including these level 2 means in the model. The argument is made in terms of continuous variables and is extended to multicategory predictors by Yaremych et al (2021).[32]
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.[33][34][35]
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,[36] while this most recent paper gives in Table 1 the key papers (and arguments made).;[37] the full list of papers that Bell and Jones have written are available for download from Research Gate.[38] A review of the debate is given by Barker, KM et al (2020) Cross-classified multilevel models (CCMM) in health research: A systematic review of published empirical studies and recommendations for best practices, SSM - Population Health, Volume 12.[39] They conclude "Bell and Jones (2018) have done much to explicate the debate, the ‘identification problem,’ and the methodological concerns. Despite this, the vast majority of researchers continue to employ CCMM for APC analysis without reference to the identification problem, the controversy itself, or any of the latest recommendations for best practices. Those that do refer to the identification problem often note this only within the limitations section of the manuscript. In light of the ongoing debate surrounding these methods, however, we urge substantial caution when conducting APC analysis and recommend a more meaningful engagement with the logic underlying the controversy. "
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:
Modelling interactions: analysis of large tables of counts using a Poisson random effects model[60]
Age period cohort analysis[61] A recent review Cross-classified multilevel models (CCMM) in health research: A systematic review of published empirical studies and recommendations for best practices,[39] the article says "Bell and Jones (2018) have done much to explicate the debate, the ‘identification problem,’ and the methodological concerns. Despite this, the vast majority of researchers continue to employ CCMM for APC analysis without reference to the identification problem, the controversy itself, or any of the latest recommendations for best practices. "
Access to publications and citationsedit
A Google Scholar profile gives up-to-date citation of his work; as of March 2024 his H-index score is 66.[62]
He makes available much of his academic output on ResearchGate,[63] where he frequently answers questions on statistical (especially multilevel) modeling.[64] He has also explained his reasons for doing so in answer to a question on the site.[65] As of February 2022, he has over 1.4 million 'reads' on ResearchGate and this is accruing at a rate of around 1,000 per week.[66]
There are also a ResearcherID site,[67] an ORCID site[68] and a database of publications at the University of Bristol.[69]
Posts heldedit
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 awardsedit
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[update], 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 supervisionedit
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:
Jones, Kelvyn and Moon, Graham (1987). Health, disease and society: a critical medical geography, Routledge & Kegan Paul Ltd, London.[141]
Jones Kelvyn (1991). Multi-level Models for Geographical Research, Environmental Publications, Norwich.[142]
Moon, Graham; Gould, Myles; Jones, Kelvyn et al. (2000). Epidemiology, Open University Press, Buckingham.[143]
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.[144]
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.[145]
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.[146]
Personal lifeedit
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]
Referencesedit
^"Professor Kelvyn Jones | British Academy". Britac.ac.uk. 9 April 2015. Archived from the original on 9 August 2017. Retrieved 20 July 2017.
^"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.
^Kelvyn Jones website at the University of Bristol [1] University of Bristol. Retrieved 9 February 2021.
^ abJen, 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.
^ abJen, 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.
^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.
^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.
^ abJohnston, 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.
^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.
^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.
^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
^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
^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
^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
^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.
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^Geoffrey Thomas Pugh's page on Research Gate https://www.researchgate.net/profile/Geoffrey_Pugh/answers Archived 2017-09-20 at the Wayback Machine
^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.
^"Fixed and Random Effects Models". Archived from the original on 13 August 2020. Retrieved 24 November 2019.
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^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
^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. PMC6096905. PMID 30147154.
^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.
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^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
^ abJones, 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. PMC4644210. PMID 26487190.
^"Why can't a statistical test of significance (inferential..." ResearchGate.net. Archived from the original on 13 August 2017. Retrieved 8 September 2017.
^"Are p-values and significance tests still meaningful in..." ResearchGate.net. Archived from the original on 13 August 2017. Retrieved 8 September 2017.
^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.
^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. PMC5847147. PMID 29568132.
^Age-period- cohort project site on Research Gate: https://www.researchgate.net/project/Age-period-cohort Archived 2018-02-24 at the Wayback Machine
^ abBarker, 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. PMC7490849. PMID 32964097. S2CID 221820440.
^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
^"Geography of health". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
^Project site on Research Gate: https://www.researchgate.net/project/Macro-determinants-of-health Archived 2018-02-17 at the Wayback Machine
^"Multilevel modelling of health-related behaviors and outcomes". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
^"Multilevel modelling of mental health outcomes". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
^"Multilevel modelling of social capital, trust and volunteering". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
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^"Forecasting geographical variations in the EU referendum". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
^"Multilevel modelling of socio-demographic variation in China". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
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^"Statistical data analysis in the social sciences (non multilevel papers)". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
^"Multilevel modelling: scope, models and issues". ResearchGate. Archived from the original on 24 February 2018. Retrieved 23 February 2018.
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^Project site on Research Gate: https://www.researchgate.net/project/Modelling-segregation-methodological-developments Archived 2018-02-18 at the Wayback Machine
^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.
^"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.
^"Age period cohort". ResearchGate. Archived from the original on 24 February 2018. Retrieved 18 December 2017.
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^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
^Research Gate weekly statistics at https://www.researchgate.net/profile/Kelvyn_Jones/stats Archived 2016-01-03 at the Wayback Machine
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^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
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^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.
^"MRS Silver Medal 2019 | MRS Article". Archived from the original on 26 June 2019. Retrieved 26 June 2019.
^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.
^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)
^"Publons.com". publons.com. Archived from the original on 21 August 2016. Retrieved 14 September 2021.
^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
^"Kelvyn JONES | Professor | FBA FLSW FAcSS PhD(Soton) BSc (Soton) | University of Bristol, Bristol | UB | School of Geographical Sciences".
^"do ResearchGate Scores create ghost academic reputations?". Archived from the original on 5 July 2018. Retrieved 2 June 2018.
^Essex Summer School http://essexsummerschool.com/ Archived 2017-09-12 at the Wayback Machine
^LSTAT https://lstat.kuleuven.be/ Archived 2017-09-12 at the Wayback Machine
^GISpopsci.org http://gispopsci.org/multilevel-modeling/ Archived 2017-09-12 at the Wayback Machine
^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.
^"Blog Post". Clahrc-nwc.nihr.ac.uk. Archived from the original on 9 September 2017. Retrieved 8 September 2017.
^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.
^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.
^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.
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^"Staff: Dr Craig Duncan - University of Portsmouth". Port.ac.uk. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
^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.
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^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.
^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_peopleorIlliterate_places_the_Indian_evidence
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^"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.
^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.
^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.
^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.
^"Min-Hua Jen". ResearchGate.net. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
^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.
^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.
^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
^"Beatriz Caicedo". ResearchGate.net. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
^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
^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
^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.
^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
^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. PMC3696131. PMID 23063218.
^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.
^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.
^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. PMC5101682. PMID 27825358.
^"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.
^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.
^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
^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.
^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.
^"Dewi Owen". ResearchGate.net. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
^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.
^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.
^"Yingyu Feng - Publications". ResearchGate.net. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
^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
^Owen, Gwilym; Harris, Richard; Jones, Kelvyn (2015). "Under examination". Progress in Human Geography. 40 (3): 394–412. doi:10.1177/0309132515580814. S2CID 143643469.
^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.
^"Gwilym Owen". ResearchGate.net. Archived from the original on 28 August 2017. Retrieved 8 September 2017.
^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
^"Gareth Griffith". ResearchGate.net. Retrieved 10 June 2020.
^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
^"Lucy PRIOR | ESRC Advanced Quantitative Methods PhD Student | University of Bristol, Bristol | UB | School of Geographical Sciences". ResearchGate.
^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
^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
^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
^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
^Extracts of Epidemiology on <Research Gate https://www.researchgate.net/publication/236671039_Epidemiology_An_Introduction Archived 2017-09-15 at the Wayback Machine
^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
^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
^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
^"Kelvyn Jones". University of Bristol. Archived from the original on 31 October 2020. Retrieved 31 January 2021.
