Technology used:

Students will need access to SPSS, a statistical software package, for this course. SPSS can be bought from the Co-Op bookshop, accessed on University computers (e.g. C5C labs), and/or accessed via iLab. 

The unit webpage is available via iLearn.

Lecture and Tutorial times 

There are 3 x 1-hour lectures and 1 x 1-hour tutorial per week. 

Tutorials commence in week 2 and students are expected to have completed readings, calculations, etc. before attending their class. Tutors are instructed not to do the practical exercises for you, but rather discuss your work, resolve difficulties, etc.

Students will be assigned to tutorials via the automated enrolment procedure. Note there are a limited number of evening tutorial times and these are reserved in the first instance for evening students.

Each tutorial has a limit of 25 students. This is both for safety and pedagogical reasons. Placing students into tutorial classes that pleases both the students' preferences and the above limitation is a difficult logistical exercise. Information on changing tutorial class preferences will be dealt with in the first lecture.

Please note that if you are enrolled as a full-time student, work commitments need to be structured around your study, not vice versa. Changes of tutorial times will only be sanctioned where unresolved clashes have occurred and free spaces in a practical class exist.

Practical exercised for each tutorial class will be available on the unit's web page.

Required and Additional Readings

Textbook

• Field, A. (2014). Discovering statistics using IBM SPSS Statistics (4th ed.). London: SAGE.

This is a very student-friendly text that combines statistical principles and the use of SPSS. This text will alsobe used in PSY349 and PSY418 in coming years, and thus goes beyond the scope of this course.

Course notes

These are also available for downloading on the PSY248 web page:

• Chekaluk, E. (2014). PSY248 – Design and Statistics 2: Notes on ANOVA lecture topics.

Additional Statistics References 

• Christensen, L.B. & Stoup, C.M. (1991). Introduction to statistics for the social and behavioral sciences (2nd ed.). Pacific Grove, CA: Brooks/Cole

The best of the introductory texts, which covers knowledge assumed for this course. The approach is consistent with the present course, but it is not comprehensive enough to be a text. 

• Harris, R.J. (1994) ANOVA: An analysis of variance primer. Itasca, Ill: Peacock

This book probably best follows the approach taken to the analysis of experimental data in this course. It is reasonably advanced and requires some level of mathematical sophistication (despite the author denying this).  

• Hays, W.L. (1994) (5th Edition) Statistics. Harcourt Brace: Sydney

This is a classical, complete statistics text that covers the material in this course and more. It is not all that easy to read, but makes an excellent reference source.

• Howell, D. C. (2013) (8^th ed.) Statistical methods for psychology. Belmont, CA: Wadsworth Cengage Learning.

This is comprehensive introductory to intermediate level text that overlaps to a reasonable level with this course.

• Ott, L. (1988) (3rd Edition) An introduction to statistical methods and data analysis. Boston: PWS-Kent

A comprehensive book that suffers because the examples rarely use psychological designs. Goes well beyond the current course.

Computing References

As well as the textbook, the main reference materials for more technical computing information are the following, which will be available on the PSY248 website: 

• Chekaluk, E. (2012). Using the MANOVA command in SPSS. 
• Taylor, A. (2011). Introduction to IBM SPSS Statistics (The Red Book). 

If students want additional material, any of the following might be helpful. Please note that most of these are introductory, but some cover more complex procedures than those covered in this course.

• Francis, G. (2001). Introduction to SPSS for Windows. Third Edition, Versions 9.0 and 10.0. Sydney: Pearson. 

• Coakes, S., & Steed, L. (2001). SPSS analysis without anguish. Version 10. Sydney: John Wiley.

• George, D., & Mallery, P. (2001). SPSS For Windows step by step: a simple guide and reference. 10.0 update. Sydney: Pearson. 

• Brace, N., Kemp, R., & Snelgar, R. (2000) SPSS for psychologists: a guide for data analysis using SPSS for windows (Versions 8, 9, & 10). Hampshire: Macmillan.
• Corston, R. & Colman, A. (2000). A Crash Course in SPSS for Windows. Oxford:Blackwell. 

• Bryman, A. & Cramer, D. (1997) Quantitative Data Analysis with SPSS for Windows. London: Routledge

This contains some good information and advice on statistics, and is useful even though it was written for an older version of SPSS for Windows.

• Levine, G. (1991) A guide to SPSS for analysis of variance. Hillsdale, NJ: LEA

Very helpful for users of the MANOVA procedure

 Also, keep an eye out for SPSS manuals, which are held in the Macquarie Library.

What has changed?

Since the last offering of this unit, the textbook has changed (see previous section), and course content has changed slightly. Specifically, Correlation and Regression topics, which were previously covered, have been removed, and topics of Non-Parametric Statistics have been added. 

Lectures

Lectures will run for 3 x hours per week. 

Lecture times are on Fridays 8-10am (X5B T1) and 3-4pm (E7B Mason Theatre).

Tutorial days and times can be found on the unit iLearn page, and on timetables.mq.edu.au/