|
| |
8512 (v.5) Research Methods 225
Area: | School of Psychology |
Credits: | 25.0 |
Contact Hours: | 4.0 |
Lecture: | 1 x 2 Hours Weekly |
Workshop: | 1 x 2 Hours Weekly |
Prerequisite(s): | 2498 (v.7) Research Methods 215 or any previous version
|
Syllabus: | Explores some of the common multivariate techniques in which reasonably large numbers of measurements are made on each participant. The dependence method discussed is Multiple Regression Analysis (MRA). The interdependence methods discussed are PrincipalComponents Analysis (PCA) and Principal Axis factoring (PAF). |
| |
Unit Outcomes: | On successful completion of this course the student will be equipped to perform basic analysis of multivariate psychological data using standard, stepwise and hierarchical multiple regression techniques as well as principal components analysis and factoranalysis. Be able to use the SPSS statistical package to i) analyse bivariate and multivariate regression models, ii) examine the underlying dimensionality of a multivariate data set and iii) determine the underlying factor structure. Be able to test forand correct for violations of the assumptions underlying the use of multiple regression and factor analytic techniques. Be able to critically evaluate the statistical and practical significance of regression models. |
Texts and references listed below are for your information only and current as of September 30, 2003. Some units taught offshore are modified at selected locations. Please check with the unit coordinator for up-to-date information and approved offshore variations to unit information before finalising study and textbook purchases. |
Unit References: | Darlington R.B., (1990), Regression and Linear Models, NY, McGraw Hill. Gorsuch R.L., (1974), Factor Analysis, London, W.B. Saunders Co. Montgomery D.C. and Peck E.A., (1991), Introduction to Linear Regression Analysis, NY, John Wiley and Sons. Norusis M.J., (1990), SPSS/PC+ Statistics 4.0 for the IBM PC/XT/AT and PS/2. Chicago, SPSS Inc. ( I have put two chapters relating to multiple regression and factor analysis on closed reserve.) Tabachnik B.G. and Fidell L.S., (1989). Using Multivariate Statistics,(2nd ed.), NY, Harper and Row. |
Unit Texts: | Howell D.C., (2002), Statistical Methods for Psychology, (5th ed.), Pacific Grove, Duxbury. Coakes S. and Steed L., (2002), SPSS, Analysis Without Anguish, Brisbane, John Wiley and Sons. |
| |
Unit Assessment Breakdown: | Computer Assignments (4) 20%, Mid Semester Examination 30%, Final Examination 50%. This is by grade/mark assessment. |
Field of Education: | 10100 Mathematical Sciences (Narrow Grouping) | HECS Band (if applicable): | 2 |
|
Extent to which this unit or thesis utilises online information: | Supplemental | Result Type: | Grade/Mark |
|
Availability
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 2 | Y | | |
Area
External | refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research. |
Central
External | refers to external course/units run through the Curtin Bentley-based Distance Education Area |
|
Click here for a printable version of this page
|
|
|
|
