Bibliography for SOCI20069: Principles of Quantitative Social Science BETA

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‘Welcome – Blackboard Learn’. [Online]. Available: https://www.ole.bris.ac.uk/webapps/portal/execute/tabs/tabAction?tab_tab_group_id=_17_1

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‘SOCI20069 Unit Summary’. [Online]. Available: https://www.bris.ac.uk/unit-programme-catalogue/UnitDetails.jsa?unitCode=SOCI20069

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C. Marsh and J. Elliott, Exploring Data: An Introduction to Data Analysis for Social Scientists, 2nd ed. Cambridge: Polity, 2008.

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D. M. Diez, C. D. Barr, and M. Çetinkaya-Rundel, OpenIntro Statistics, Third edition ; Updated February 15th, 2016. [United States]: [publisher not identified] [Online]. Available: https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=60

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A. P. Field, Discovering Statistics using SPSS, 5th edition. Los Angeles: Sage, 2018.

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‘MethodSpace - Connecting the Research Community’. [Online]. Available: https://www.methodspace.com/

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C. Frankfort-Nachmias and A. Leon-Guerrero, Social Statistics for a Diverse Society. SAGE Publications, Inc; Seventh edition, 2014.

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S. Strand, S. Cadwallader, and D. Firth, ‘Statistical Regression Methods’, 2011. [Online]. Available: http://www.restore.ac.uk/srme/www/fac/soc/wie/research-new/srme/index.html

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K. J. Meier, J. L. Brudney, and J. Bohte, Applied Statistics for Public and Nonprofit Administration, Ninth edition. Stamford, CT, USA: Cengage Learning, 2015.

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John Hughes and Wes Sharrock, Theory and Methods in Sociology: An Introduction to Sociological Thinking and Practice. Palgrave Macmillan, 2007 [Online]. Available: https://ebookcentral.proquest.com/lib/bristol/detail.action?docID=4762701

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D. J. Bartholomew, Statistics without Mathematics. London: Sage Publications Ltd, 2016.

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N. J. Salkind, Statistics for People who (Think They) Hate Statistics, 3rd ed. Los Angeles, Calif: Sage, 2008.

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D. J. Rumsey, Statistics for Dummies. Hoboken, N.J.: Wiley, 2003.

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C. H. Feinstein and M. Thomas, Making History Count: A Primer in Quantitative Methods for Historians. Cambridge: Cambridge University Press, 2002 [Online]. Available: https://bris.idm.oclc.org/login?url=http://dx.doi.org/10.1017/CBO9781139164832

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M. Blastland, A. W. Dilnot, and dawsonera, The Tiger that Isn’t: Seeing through a World of Numbers, Expanded edition. London: Profile, 2008 [Online]. Available: https://ebookcentral.proquest.com/lib/bristol/detail.action?docID=578933

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B. Goldacre, Bad Science. London: Fourth Estate, 2009.

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C. Marsh and J. Elliott, Exploring Data, 2nd ed. Cambridge: Polity, 2008.

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D. M. Diez, C. D. Barr, and M. Çetinkaya-Rundel, OpenIntro Statistics, Third edition ; Updated February 15th, 2016. [United States]: [publisher not identified] [Online]. Available: https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=60

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A. Field, Discovering Statistics Using IBM SPSS Statistics, 5th Revised edition. London: SAGE Publications Ltd, 2017 [Online]. Available: https://bibliu.com/users/saml/samlUniversityOfBristol?RelayState=eyJjdXN0b21fbGF1bmNoX3VybCI6IiMvdmlldy9ib29rcy85NzgxNTI2NDIyOTY1L2VwdWIvT0VCUFMvdG9jLmh0bWwifQ%3D%3D

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‘Understanding Society: Quantitative and Qualitative Social Science’. [Online]. Available: https://understandingsociety.blogspot.com/2014/04/quantitative-and-qualitative-social.html

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A. P. Field, ‘Why is My Evil Lecturer Forcing Me to Learn Statistics?’, in Discovering Statistics, 4th ed., Los Angeles: Sage, 2013, pp. 1–38.

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A. Dilnot, ‘Don’t Leave it Only to Economists: Why Quantitative Skills are Needed Across the Social Sciences and Beyond’. [Online]. Available: http://www.nuffieldfoundation.org/q-step-inaugural-event

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C. Frankfort-Nachmias and A. Leon-Guerrero, ‘The What and the Why of Statistics’, in Social Statistics for a Diverse Society, Seventh edition., Los Angeles: SAGE, 2015, pp. 1–26.

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John Hughes and Wes Sharrock, ‘Variable Analysis and Measurement’, in Theory and Methods in Sociology, Palgrave Macmillan, 2007, pp. 62–92 [Online]. Available: https://ebookcentral.proquest.com/lib/bristol/detail.action?docID=4762701

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C. Marsh and J. Elliott, ‘Scaling and Standardizing’, in Exploring Data: An Introduction to Data Analysis for Social Scientists, 2nd ed., Cambridge: Polity, 2008.

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D. M. Diez, C. D. Barr, and M. Çetinkaya-Rundel, OpenIntro Statistics, Third edition ; Updated February 15th, 2016. [United States]: [publisher not identified] [Online]. Available: https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=60

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D. M. Diez, C. D. Barr, and M. Çetinkaya-Rundel, OpenIntro Statistics, Third edition ; Updated February 15th, 2016. [United States]: [publisher not identified] [Online]. Available: https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=60

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D. J. Rumsey, ‘Measures of Relative Standing’, in Statistics for Dummies, Hoboken, N.J.: Wiley, 2003, pp. 143–159.

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C. H. Feinstein and M. Thomas, ‘Descriptive Statistics’, in Making History Count: A Primer in Quantitative Methods for Historians, Cambridge: Cambridge University Press, 2002, pp. 33–70 [Online]. Available: https://www.cambridge.org/core/product/identifier/CBO9781139164832A020/type/book_part

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N. J. Salkind, ‘Are Your Curves Normal? Probability and Why It Counts’, in Statistics for People who (Think They) Hate Statistics, 3rd ed., Los Angeles, Calif: Sage, 2008, pp. 134–152.

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C. Marsh and J. Elliott, Exploring Data, 2nd ed. Cambridge: Polity, 2008.

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D. M. Diez, C. D. Barr, and M. Çetinkaya-Rundel, OpenIntro Statistics, Third edition ; Updated February 15th, 2016. [United States]: [publisher not identified] [Online]. Available: https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=60

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C. H. Feinstein and M. Thomas, ‘Correlation’, in Making History Count: A Primer in Quantitative Methods for Historians, Cambridge: Cambridge University Press, 2002, pp. 71–92 [Online]. Available: https://www.cambridge.org/core/product/identifier/CBO9781139164832A028/type/book_part

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D. J. Rumsey, ‘Looking for Links: Correlations and Association’, in Statistics for Dummies, Hoboken, N.J.: Wiley, 2003, pp. 281–296.

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N. J. Salkind, ‘Ice Cream and Crime’, in Statistics for people who (think they) hate statistics, 3rd ed., Los Angeles, Calif: Sage, 2008, pp. 74–96.

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‘Pearson Correlation Coefficient Calculator’. [Online]. Available: http://www.socscistatistics.com/tests/pearson/

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‘Spearman’s Rho Calculator’. [Online]. Available: http://www.socscistatistics.com/tests/spearman/

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C. Marsh and J. Elliott, ‘Percentage Tables’, in Exploring Data: An Introduction to Data Analysis for Social Scientists, 2nd ed., Cambridge: Polity, 2008, pp. 117–140.

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D. M. Diez, C. D. Barr, and M. Çetinkaya-Rundel, OpenIntro statistics, Third edition ; Updated February 15th, 2016. [United States]: [publisher not identified] [Online]. Available: https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=60

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A. P. Field, ‘Everything You Never Wanted to Know About Statistics’, in Discovering Statistics, 4th ed., Los Angeles: Sage, 2013, pp. 40–87.

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C. Frankfort-Nachmias and A. Leon-Guerrero, Social statistics for a diverse society, Seventh edition. Los Angeles: SAGE, 2015.

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C. H. Feinstein and M. Thomas, ‘Standard Errors and Confidence Intervals’, in Making History Count: A Primer in Quantitative Methods for Historians, Cambridge: Cambridge University Press, 2002, pp. 117–148 [Online]. Available: https://www.cambridge.org/core/product/identifier/CBO9781139164832A040/type/book_part

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D. J. Rumsey, Statistics for Dummies. Hoboken, N.J.: Wiley, 2003.

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C. Marsh and J. Elliott, ‘Analysing Contingency Tables’, in Exploring Data, 2nd ed., Cambridge: Polity, 2008, pp. 141–160.

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D. M. Diez, C. D. Barr, and M. Çetinkaya-Rundel, OpenIntro statistics, Third edition ; Updated February 15th, 2016. [United States]: [publisher not identified] [Online]. Available: https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=60

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C. Frankfort-Nachmias and A. Leon-Guerrero, ‘Testing Hypotheses’, in Social statistics for a diverse society, Seventh edition., Los Angeles: SAGE, 2015, pp. 267–299.

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C. H. Feinstein and M. Thomas, ‘Hypothesis Testing’, in Making History Count: A Primer in Quantitative Methods for Historians, Cambridge: Cambridge University Press, 2002, pp. 149–184 [Online]. Available: https://www.cambridge.org/core/product/identifier/CBO9781139164832A048/type/book_part

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N. J. Salkind, Statistics for people who (think they) hate statistics, 3rd ed. Los Angeles, Calif: Sage, 2008.

[55]

D. J. Rumsey, Statistics for Dummies. Hoboken, N.J.: Wiley, 2003.

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C. Marsh and J. Elliott, ‘Scatterplots and Resistant Lines’, in Exploring Data, 2nd ed., Cambridge: Polity, 2008, pp. 196–210.

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D. M. Diez, C. D. Barr, and M. Çetinkaya-Rundel, OpenIntro statistics, Third edition ; Updated February 15th, 2016. [United States]: [publisher not identified] [Online]. Available: https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=60

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A. P. Field, ‘Regression’, in Discovering Statistics, 4th ed., Los Angeles: Sage, 2013, pp. 293–320.

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C. Frankfort-Nachmias and A. Leon-Guerrero, ‘Regression and Correlation’, in Social statistics for a diverse society, Seventh edition., Los Angeles: SAGE, 2015, pp. 413–465.

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C. H. Feinstein and M. Thomas, ‘Simple Linear Regression’, in Making History Count: A Primer in Quantitative Methods for Historians, Cambridge: Cambridge University Press, 2002, pp. 93–114 [Online]. Available: https://www.cambridge.org/core/product/identifier/CBO9781139164832A033/type/book_part

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C. H. Feinstein and M. Thomas, ‘Three Illustrations of The Use of T-Tests’, in Making History Count: A Primer in Quantitative Methods for Historians, Cambridge: Cambridge University Press, 2002, pp. 149–184 [Online]. Available: https://www.cambridge.org/core/product/identifier/CBO9781139164832A048/type/book_part

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N. J. Salkind, ‘Predicting Who Will Win the Superbowl’, in Statistics for people who (think they) hate statistics, 3rd ed., Los Angeles, Calif: Sage, 2008, pp. 245–259.

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D. J. Rumsey, ‘Looking for Links: Correlations and Associations’, in Statistics for Dummies, Hoboken, N.J.: Wiley, 2003, pp. 291–295.

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C. Marsh and J. Elliott, ‘Transformations’, in Exploring Data, 2nd ed., Cambridge: Polity, 2008, pp. 212–229.

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D. M. Diez, C. D. Barr, and M. Çetinkaya-Rundel, OpenIntro statistics, Third edition ; Updated February 15th, 2016. [United States]: [publisher not identified] [Online]. Available: https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=60

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A. P. Field, Discovering Statistics using IBM SPSS Statistics, 4th ed. Los Angeles: Sage, 2013 [Online]. Available: https://bibliu.com/users/saml/samlUniversityOfBristol?RelayState=eyJjdXN0b21fbGF1bmNoX3VybCI6IiMvdmlldy9ib29rcy85NzgxNTI2NDIyOTY1L2VwdWIvT0VCUFMvdG9jLmh0bWwifQ%3D%3D

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C. H. Feinstein and M. Thomas, ‘Multiple Relationships’, in Making History Count: A Primer in Quantitative Methods for Historians, Cambridge: Cambridge University Press, 2002, pp. 231–257 [Online]. Available: https://www.cambridge.org/core/product/identifier/CBO9781139164832A066/type/book_part

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C. H. Feinstein and M. Thomas, ‘The Classical Linear Regression Model’, in Making History Count: A Primer in Quantitative Methods for Historians, Cambridge: Cambridge University Press, 2002, pp. 258–279 [Online]. Available: https://www.cambridge.org/core/product/identifier/CBO9781139164832A071/type/book_part

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N. J. Salkind, ‘Using Linear Regression’, in Statistics for people who (think they) hate statistics, 3rd ed., Los Angeles, Calif: Sage, 2008, pp. 257–259.

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C. Marsh and J. Elliott, Exploring Data, 2nd ed. Cambridge: Polity, 2008.

[71]

D. M. Diez, C. D. Barr, and M. Çetinkaya-Rundel, OpenIntro statistics, Third edition ; Updated February 15th, 2016. [United States]: [publisher not identified] [Online]. Available: https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=60

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A. P. Field, Discovering Statistics, 4th ed. Los Angeles: Sage, 2013.

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S. Ziliak and D. McCloskey, ‘The Cult of Statistical Significance’. paper presented to the Joint Statistical Meeting Section on Statistical Education, 2009 [Online]. Available: http://www.deirdremccloskey.com/docs/jsm.pdf

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A. Field, Discovering Statistics Using IBM SPSS Statistics, 5th Revised edition. London: SAGE Publications Ltd, 2017 [Online]. Available: https://bibliu.com/users/saml/samlUniversityOfBristol?RelayState=eyJjdXN0b21fbGF1bmNoX3VybCI6IiMvdmlldy9ib29rcy85NzgxNTI2NDIyOTY1L2VwdWIvT0VCUFMvdG9jLmh0bWwifQ%3D%3D