203 Lecture Notes 2007

I haven't opened up all of the lectures yet - but will do so either before each lecture or on the day of the lecture itself - even if I haven't reviewed the material in the usual way.

 I think that research methods and statistics are the most important topics in the curriculum of a psychology degree. Modern psychology is founded on over 100 years of the application of methods designed to build a knowledge, a scientific foundation from which to develop theory and practice. Listen to these web casts from the health report on the topic.  If ever you needed convincing that statistics is a fundamental subject that cuts across many subjects then this might be it ....

Program 1 click here

Program 2 click here

WEEK 1

Lecture 1 Click here for the ppt version

If you cant see the lecture notes (or anything else) please let me know.  Email: davidm@psy.uwa.edu.au 

On-Line Stats book.  A Useful Link?

Don't go off and try to understand all that is in the book in one hit. Feel free to explore but dont scare yourself. With time things WILL get clearer. For now, to view the contents of the book and to explore for yourself Click here

In addition to the on-line book that I have on my own machine I have discovered a really good alternative. Click here.  In my view this is a terrific reference source. And why do they do it? Because they want you to buy Statistica (of course) - which by the way is a brilliant stats package!

Of course there are others that you may find.  If you do find a good one let me know and I'll post the address here.

WEEK 1

Lecture 2 Click Here 

Week 2 Lecture 1. Click here

Week 2 Lecture 2.  Click here  

This week's lectures will look at different types of research in Psychology.  The idea is to try and put some of the more arcane topics into perspective and to illustrate how even odd topics might have practical application.   I also want to introduce you to different styles of research.  The ideas discussed in Lecture 1 will be followed up in more detail later in the semester.

For some useful links for this week  Click here and Here

For some more info on  measurement reliability and validity Click here .

For a chapter that describes reliability and validity in a less technical way Click Here

For the Allport and Allport (1921) article on personality traits and their measurement Click Here

For the Butcher and Rouse (1996) article Click Here

For the Borman et al (1997) article Click Here

For McCrae and Costa (1997) article Click Here

Week 3 lecture 5. For the show Click here

Week 3 Lecture 6.   For the show Click here

For some simple definitions of statistical concepts from the Statistica web-site click here

The HEXACO papers for the Lab Exercises

Lee, K., & Ashton, M.C., (2004),  Psychometric properties of the HEXACO personality inventory.  Multivariate Behavioural Research.  Vol 39(2) 2004, 329-358. CLICK HERE

 

Ashton, M., & Lee, L., (2005), A defence of the lexical approach to the study of personality structure.  European Journal of Personality. 19(1), 5-24. CLICK HERE

 

Ashton, M., & Lee, K., (2005), Honesty-Humility, the Big 5, and the Five-Factor Model. Journal of Personality. Journal of Personality, 73(5), 1321-1353. CLICK HERE

 

If you get stuck on what a statistical concept might mean or simply want to explore more on line try this site Click Here

For a direct link to the Glossaries page Click Here (Z scores are at the end!)

Pretty soon we are going to talk about probability and how we use it to make decisions about data.

Click here for a link to more on confidence intervals and where they fit in to the concept of sampling error.

Click here for more on the link between confidence intervals and probability. These links are in turn linked to other links. You should try and pursue these to get a better understanding as we move towards the use of statistical tests for data analysis.

Click here for some topics touched on in the lecture and that will feature in the near future.

Its time I posted some tests for you to examine your knowledge and to help you learn the material.  I have made up four  tests from the lecture material.  Give them a go and see how you do.  

Click here for Test 1 ANSWERS

Click Here for Test 2 ANSWERS

Click Here for Test 3 ANSWERS

Week 5  Lecture 9.  Powerpoint Show here

Lecture 10 - Powerpoint Here.

ASSIGNMENT 1 with marking schedule  Click Here

You can examine the STATPLAY SOFTWARE at home Click Here to download.  It wont run unless you set your screen resolution to 256 colours and 800x600 pixels.  My new machine has no problem running it.

This week we will cover either in the lab or in the lecture some ideas relevant to sampling error.   Confidence Intervals. Click here for more.  This is an important topic make sure you understand it.

Confused about Standard Deviation and Standard Error of the Mean?  Click here

Fun, but relevant, web-links of the week Click Here and Here

What is the right sample size? Click here for more on this and here for some neat tricks - you may be grateful of this page in later life!

For a critique of Hypothesis testing CLick Here

Click here for a link to a page on Effect Sizes

Week  6

Lecture 11 Click here for ppt

 Lecture 12 Click here for ppt

Confused about type 1 and type 2 errors? Click here

In case you hadn't noticed things are starting to get more complex. Each week the labs introduce a new idea having built on the concepts of the previous week.

A major choice for researchers  is whether to adopt a  between as opposed to a  within subject design or experimental vs. correlational research. Each has advantages and disadvantages. Click here for more on this or HERE for a bit more.

Earlier on in the unit we were talking about validity. Iin a general sense it seems appropriate to re-consider the issue of generalisability again - have a read of this link as it ties in (rather neatly I think) some of the work you have done on confidence intervals and validity generalisation.  Many of the issues Vance has talked about are what change not only sample values but interpretation.  Click Here

As a set of statistical resources click here (free software, calculators etc) Also here for a power calculator and here for even more on-line analysis software (very handy if you cant afford SPSS)

For a Review of Power analysis software click here

For a different but gentle introduction to power  click here or even here if you are feeling keen

For an in depth discussion read Cohen, Jacob. A power primer. [Peer Reviewed Journal] Psychological Bulletin. Vol 112(1) Jul 1992, 155-159. American Psychological Assn, US.

For a lighter discussion read  Russo, R., (2003), Statistics for Behavioural Sciences. New York: Psychology Press.  Chapter 13.  This is on reserve.

Week  7  Lecture 13 Click Here ppt version here

              Lecture 14 ppt here

I have just found two great new sites that will help you in your study.  They are more technical than Jackson but less detailed than Gravetter.  Give them a go.  Click here for one of the sources and here for the other

Week 8

Lecture 15 Analysis of Variance 1 Click here for Powerpoint show

Lecture 16 - no Lecture 16 due to ANZAC day.

Click on here for more on ANOVA and t-tests

Practice quiz 4 Chapters 5-7 Click Here  Answers

Practice quiz 5 Chapters 7-10 Click Here Answers

Week 9 

Lecture 17  Analysis of Variance 2 Click Here for the ppt

Lecture 18 Analysis of Variance 3 Click Here for ppt

Click on here for two-way ANOVA notes

Have a look at STATISTICA - everything you wanted to know about ANOVA Click here

Click here to be taken to a site that will allow you to download some easy to use ANOVA software (for free) and some info on technical matters.

Example data from lecture 18 plus output

Some people are having problems downloading these SPSS files.  I have also loaded them on to the WebCT site (Unit Details Page).  If you still get stuck email me and I'll send them to you.

Week 10

Lecture 19 - Complex ANOVA Designs PPT show here

Lecture 20 - Interactions and comparing ANOVAs of different design here for ppt

Quizz2 Practice 1 here Answers Here   AVAILABLE 2007

Quizz2 Practice 2 here Answers Here  AVAILABLE 2007

An interesting (but difficult) article on Interaction  Paper 1 - The reference section is particularly useful as it has a few other papers that you might want to get hold of.

For a brief discussion of the difference between random and fixed effects ANOVA models click here

Here are some slides that I used to use for the Laboratory this week  (Memory Search) - you might find them useful for thinking about the alternative hypotheses  you will test.  Click here for ppt show

Readings for the Memory Search (STERNBERG) Laboratory (Snodgrass)  Click here and (Massaro)_Here.  These papers cover the theoretical side of this laboratory. The statistical side is well served by Gravetter and Wallnau

Example data from lecture 20 Multi-factor between groups here split plot here

Some people are having problems downloading these SPSS files.  I have also loaded them on to the WebCT site (Unit Details Page).  If you still get stuck email me and I'll send them to you.

DATA FILES FROM HERE FOR STERNBERG Laboratory 2007

 - 2007 DATA      Setsize Means   Syntax

Some people are having problems downloading these files.  I have also loaded them on to the WebCT site (Unit Details Page).  If you still get stuck, email me and I'll send them to you.

For some additional notes on correlation click here

For some clear information on linear regression click here

For more on how a stats program fits a model click here

Apparently the mic ran out of battery on Monday 21May so I have arranged to get the equivalent lecture from last year put into lectopia. BUT you need to go 21 mins in before you get to chi square.

Week 12 lecture 24 here

Click on here for an on-line link

The articles to read for this week's Observational Techniques lab are on reserve but are also here  and here. 

SHORT ANSWER Exam Practice click here (note I have included some questions on topics not yet covered e.g. correlation, regression and chi square)

Multiple Choice Exam Practice 1 click here

Multiple Choice Exam Practice 2 click here

Answer to Multiple Choice 1 here

Answer to Multiple Choice 2 here