Resources for students

SPSS Survival Handbook 6th editionFurther resources

In this section I have included a list of additional readings, useful websites, and downloadable computer programs. This latter section includes the software needed to conduct Parallel Analysis referred to in Chapter 15 Factor Analysis.


Additional readings

Some of the articles and books I have found most useful for my own research and my teaching are listed here. Keep an eye out for new editions of these titles; many are updated every few years. I have classified these according to different headings, but many cover a variety of topics. The titles that I highly recommend have an asterisk next to them.

Research design
Bowling, A. (2014). Research methods in health: Investigating health and health services (4th edn). Buckingham: Open University Press.

*Boyce, J. (2004). Marketing Research (2nd edn). Boston: McGraw-Hill.

*Cone, J. & Foster, S. (2006). Dissertations and theses from start to finish (2nd edn). Washington: American Psychological Association.

Goodwin, C.J. (2012). Research in psychology: Methods and design (7th edn). New York: John Wiley.

Harris, P. (2008). Designing and reporting experiments in psychology (3rd edn). Maidenhead: Open University Press.

Polgar, S. & Thomas, S.A. (2013). Introduction to research in the health sciences (6th edn). Edinburgh: Churchill Livingstone.

Stangor, C. (2006). Research methods for the behavioral sciences (3rd edn). Boston: Houghton Mifflin.

*Tharenou, P., Donohue, R. & Cooper, B. (2007). Management research methods. Cambridge: Cambridge University Press.

Questionnaire design
*De Vaus, D.A. (2014). Surveys in social research (6th edn). Sydney: Allen & Unwin.

Scale selection and construction
Dawis, R.V. (1987). Scale construction. Journal of Counseling Psychology, 34, 481–9.

*DeVellis, R.F. (2012). Scale development: Theory and applications (3rd edn). Thousand Oaks, California: Sage.

Gable, R.K. & Wolf, M.B. (1993). Instrument development in the affective domain: Measuring attitudes and values in corporate and school settings. Boston: Kluwer Academic.

Kline, P. (1986). A handbook of test construction. New York: Methuen.

Kline, T.J.B. (2005). Psychological testing: A practical approach to design and evaluation. Thousand Oaks, California: Sage.

Robinson, J.P., Shaver, P.R. & Wrightsman, L.S. (eds) (1991). Measures of personality and social psychological attitudes. Hillsdale, NJ: Academic Press.

*Streiner, D.L. & Norman, G.R. (2015). Health measurement scales: A practical guide to their development and use (5th edn). Oxford: Oxford University Press.

Basic statistics
Cooper, D.R. & Schindler, P.S. (2013). Business research methods (12th edn). Boston: McGraw-Hill.

*Gravetter, F.J. & Wallnau, L.B. (2012). Statistics for the behavioral sciences (9th edn). Belmont, CA: Wadsworth.

Norman, G.R. & Streiner, D.L. (2014). Biostatistics: The bare essentials (4th edn). Shelton, CT: People's Medical Publishing House-USA

Motulsky, H. (2013). Intuitive biostatistics: A nonmathematical guide to statistical thinking (3rd edn). New York: Oxford University Press.

Pagano, R.R. (2013). Understanding statistics in the behavioral sciences (10th edn). Belmont, CA: Wadsworth.

*Peat, J. (2001). Health science research: A handbook of quantitative methods. Sydney: Allen & Unwin.

*Barton, B. & Peat, J (2014). Medical Statistics: A guide to data analysis and critical appraisal. Oxford: John Wiley and Sons

Advanced statistics
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. & Tatham, R.L. (2009). Multivariate data analysis (7th edn). Upper Saddle River, NJ: Pearson Education.

Pett, M.A., Lackey, N.R., & Sullivan, J.J. (2003). Making sense of factor analysis: The use of factor analysis for instrument development in health care research. Thousand Oaks, California: Sage.

Stevens, J. (2009). Applied multivariate statistics for the social sciences (5th edn). Mahwah, NJ: Lawrence Erlbaum.

*Tabachnick, B.G. & Fidell, L.S. (2013). Using multivariate statistics (6th edn). Boston: Pearson Education.

Preparing your report
American Psychological Association (2009). Publication Manual of the American Psychological Association (6th edn). Washington: American Psychological Association.

McInerney, D.M. (2001). Publishing your psychology research. Sydney: Allen & Unwin.

Belcher, W.L. (2009). Writing your journal article in 12 weeks: A guide to academic publishing success. Thousand Oaks, CA: Sage.

Nicol, A.A.M. & Pexman, P.M. (2010a). Displaying your findings: A practical guide for creating figures, posters, and presentations (6th edn). Washington: American Psychological Association.

Nicol, A.A.M. & Pexman, P.M. (2010b). Presenting your findings: A practical guide to creating tables (6th edn). Washington: American Psychological Association.

*Peacock, J. & Kerry, S. (2007). Presenting medical statistics from proposal to publication: A step-by-step guide. Oxford: Oxford University Press.

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Useful websites

In addition to the more traditional paper-based resources, there are many websites you may find useful. There has been an explosion in the number of statistics sites on the Web—some statistics texts are completely web-based. I have listed some useful starting points for you below. These sites also have links to many other potentially useful sites.
This site contains free downloads of a wide variety of statistics tools and calculators. It provides a program Monte Carlo PCA for Parallel Analysis which is discussed in Chapter 15 Factor Analysis.
Look down the list of available programs until you find "Monte Carlo PCA for Parallel Analysis". Choose the version that suits you (Windows or Mac). Click on the coloured icon on the left hand side to download the zip file.
The zipped file for the MonteCarlo PCA for Windows can also be downloaded here: [right click and save as]
This is a link to the VassarStats website, which provides a range of tools for performing statistical computation. There is a companion online textbook that goes with this site available from
This site provides a simple effect size calculator to obtain a Cohen's d value from the results of a t-test. This is discussed in Chapter 17.
A useful website that provides a quick and easy way to calculate effect size statistics. Effect sizes are discussed in the introductory section to Part Five and in Chapter 17 T-tests.
From this site you can download G*Power: a very powerful program that allows you to conduct 'power analysis' to determine the numbers of cases you will need to obtain for your study. This issue of power is discussed in the introductory section to Part Five.
DAG_Stat provides a comprehensive range of statistics calculable from 2 by 2 tables that are useful in evaluating diagnostic tests and interrater agreement (this is discussed in Chapter 16 in the section on Kappa Measure of Agreement)

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