STANDEV
Injury 0
Injury 1
Injury 4
Lat 1
Young
Lat 2
Young
Old
3.1
111.3
20.9
0.0
7.2
0.0
Lat 3
Young
Old
87.0
125.5
2.8
38.4
36.6
35.7
Lat 4
Young
Old
50.8
74.1
2.0
51.4
51.9
28.0
Lat 5
Young
Old
20.
T-TESTS
March 2nd and March
4th, 2015
MONDAY
WARM-UP
THE EXTREME GAME
TIME: 3 Minutes
OBJECTIVE:
Pick a side.
TYPES OF RELATIONSHIPS
FOCUS: FIRST HALF OF THE COURSE
- CORRELATION
- REGRESSION
- MULTIP
REPEATED
MEASURES
ANOVA
March 23rd and 25th,
2015
MONDAY
WARM-UP
SHAKE GAME
TIME: 2 Minutes
OBJECTIVE:
Wake up!
ANALYSIS OF VARIANCE
REPEATED-MEASURES
ANOVA
A test to determine whether 3 (or
more) gro
MULTIPLE
REGRESSION
February 9th and 11th,
2015
MONDAY
WARM-UP
COLOUR GAME
TIME: 3 Minutes
OBJECTIVE:
Touch all of the
colours.
MULTIPLE REGRESSION
A way of predicting the value of one variable from m
REGRESSION
February 2nd and 4th,
2015
MONDAY
WARM-UP
DRAWING
TIME: 3 Minutes
OBJECTIVE:
Draw the perfect
image.
MATERIAL:
Pen and paper.
REGRESSION
A way of predicting the value of one variable from
A
PREPARING DATA
FOR ANALYSIS
Monday, January 19th,
2015
WARM-UP
STAND UP, SIT DOWN
TIME: 2 Minutes
OBJECTIVE:
Listen to the
instructions, last one
standing is the winner.
PREPARING DATA FOR
ANALYSIS
Be
INDEPENDENT
ANOVA
March 9th and 11th,
2015
MONDAY
WARM-UP
RHYTHM GAME
TIME: 2 Minutes
OBJECTIVE:
Stay on beat!
A LOOK BACK AT T-TESTS
If we want to compare more than 2 groups, why
dont we compare pair
Welcome!
Quantitative Methods in
Psychology
PSY2116 A
Spring/Summer 2015
Your guides:
Course instructor: Stephanie Baker, Ph.D.
Office hours: before class Vanier 2026
Teaching assistants:
Carleigh Sa
Lecture 3
Quantitative Methods in
Psychology
PSY2116
Spring/Summer 2015
Correlation vs. Regression
Correlation
Measure the degree of
relationship between
two variables
Regression
Predicting one vari
C8057 (Research Methods 2): Effect Sizes
Effect Sizes
Null Hypothesis Significance Testing (NHST)
When you read an empirical paper, the first question you should ask is how important is the
effect obt
Example of annotated highlighted output
First table represents mean, sample size, and error for each group. The mean and standard deviation
were represented in the graph.
This table represents the out
JUST A CONCUSSION
1
PSY2116 B
Assignment 2
Instructions:
The data files associated with each may have extra variables that you will not
necessarily need. This is meant to give you practice with typica
PSY2116 B
Assignment 1
Instructions:
The data file will have extra variables that you will not necessarily need. This is meant
to give you practice with typical data files, so you should not analyze a
Review of
Descriptive
Statistics
Wednesday, January
14th, 2015
WARM-UP
HUMAN CALENDAR
TIME: 5 Minutes
OBJECTIVE:
Silently place
yourselves in order by
birthday (January to
December).
WARM-UP
TYPES OF
HYPOTHESIS
TESTING HOW
IT WORKS
Wednesday, January
21st, 2015
WARM-UP
WEEKLY STATISTICS JOKE
BUILDING STATISTICAL
MODELS
Scientists build models of real-world
processes in an attempt to predict how
th
PSY 2116 Correlation ANSWERS
1.
Compute the correlation between the variables in DATA SET A. Check your answer using SPSS.
DATA SET A
#
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
P
0
4
12
1
9
18
4
8
PSY 2116 Sums of Squares ANSWERS
DATA SET 2A
X
Y
12
25
15
22
14
24
17
24
17
24
12
25
13
22
10
22
19
23
10
19
W
7
9
7
6
6
8
6
5
5
5
Using Data Set 2A and the formulae below, compute the following:
2
SS
PSY 2116 Standard Scores ANSWERS
1.
Use the numbers in DATA SET A for this analysis. Compute the z-scores that correspond
to raw score values of 17, 22 and 3. What extra assumption(s) would you have t
PSY 2116 Factorial ANOVA ANSWERS
Female
Male
Perform the appropriate statistical analysis for the data in DATA SET A. Ensure that you protect the
Type I error rate for the comparison(s) you conduct.
G
PSY 2116 One-way ANOVA ANSWERS
1.
You are teaching three sections of a course. Fortunately, there are equal numbers of students (8) in each
section! Using the data in DATA SET A, determine whether the