Shiken: JALT Testing & Evaluation SIG Newsletter. 12 (2) April 2008 (p. 38 - 43)
Statistics Corner
Questions and answers about language testing statistics:
Effect size and eta squared
James Dean Brown
BAYESIAN ESTIMATION OF EXPLAINED VARIANCE
IN ANOVA DESIGNS
MAARTEN MARSMAN
UNIVERSITY OF AMSTERDAM
LOURENS WALDORP
UNIVERSITY OF AMSTERDAM
FABIAN DABLANDER
UNIVERSITY OF TUBINGEN
ERIC-JAN WAGENMAKERS
Readings Assumed knowledge
Analysis of Variance
Howell (2010):
Ch3 The Normal Distribution
Ch4 Sampling Distributions and
Hypothesis Testing
Ch7 Hypothesis Tests Applied to Means
Ch11 Simple Analy
Behavior Research Methods
2005, 37 (3), 379-384
Recommended effect size statistics
for repeated measures designs
ROGER BAKEMAN
Georgia State University, Atlanta, Georgia
Investigators, who are increas
1
Factorial ANOVA
The ANOVA designs we have dealt with up to this point, known as simple ANOVA or oneway ANOVA, had only one independent grouping variable or factor. However, oftentimes a
researcher h
EDPY 505 Fall 2017
LAB1 REGRESSION
Dataset
This data file has 200 rows, each one representing a different album. There are also several
columns, one of which contains the sales (in thousands) of each
Section 2: Multiple Regression
2.1 Introduction to Multiple Regression
2.2 Methods of Regression
2.3 Bias in Regression Model
2.4 An Example
1
2.1 Introduction to Multiple Regression
Multiple regress
Example Calculation of
Eta-squared from SPSS Output
SPSS doesn't provide the recommended etasquared (2) as a measure of effect size for
ANOVA effects.
2 can be calculated from the ANOVA table.
The 2
Cohen_Chapter22.j.qxd 8/23/02 11:56 M Page 688
Chapter 22 Three-Way ANOVA
688
Three-Way ANOVA
You will need to use the following from previous chapters:
22
Chapter
A
CONCEPTUAL
FOUNDATION
Symbols
k: N
Midterm 2
Introduction to Probability and Statistics, Spring 2017
April 7, 2017
Name: _ SID: _
Please circle you sections GSI:
Jill
Mingjia
Yoni
Rohit Yanli
Calvin
Shalika
Yizhou
Shuhui
Andy
No quest
Midterm 2
Introduction to Probability and Statistics, Spring 2017
April 7, 2017
Name: _ SID: _
Please circle you sections GSI:
Yoni
Rohit
Jill
Mingjia
Yanli
Calvin
Shalika
Yizhou
Shuhui
Andy
No quest
Midterm 1D
Introduction to Probability and Statistics, Spring 2017
February 24, 2017
Name: _ SID: _ Section: _
Please circle you sections GSI:
Yoni
Rohit
Jill
Mingjia
Yanli
Calvin
Shalika
Yizhou
Shuhu
Midterm 1C
Introduction to Probability and Statistics, Spring 2017
February 24, 2017
Name: _ SID: _ Section: _
Please circle you sections GSI:
Yoni
Rohit
Jill
Mingjia
Yanli
Calvin
Shalika
Yizhou
Shuhu
Midterm 1A
Introduction to Probability and Statistics, Spring 2017
February 24, 2017
Name: _ SID: _ Section: _
Please circle you sections GSI:
Yoni
Rohit
Jill
Mingjia
Yanli
Calvin
Shalika
Yizhou
Shuhu
STAT 200 Quiz 1 Student Version
1.
The newspaper reports that higher rates of sunburn and ice cream
consumption correspond. Does that mean that eating ice cream can put
you at risk of sunburn? What mi
Lane
1.8
Assume the speed of vehicles along a stretch of I-10 has an approximately normal distribution with a
mean of 71 mph and a standard deviation of 8 mph.
a. The current speed limit is 65 mph. Wh
Homework week 5
Lane
1.4
Why is a 99% condence interval wider than a 95% condence interval?
More condence that an interval contains the true parameter, results in a wider interval. The 99%
interval mu
Week 8 Homework
1.15
a. main effect
b. simple effect
c. simple effect
d. interaction
e. specific comparison
2.17
Source of Variation
SS
df
MS
Outcome
924.8
1
924.8
Age
1805
1
1805
259.2
644.8
3633.8
1
1.18
You choose an alpha level of .01 and then analyze your data.
a. What is the probability that you will make a Type I error given that the null hypothesis is true?
0.01
b. What is the probability t
Lane
1.7
You ip a coin three times. (a) What is the probability of getting heads on only one of your ips? (b)
What is the probability of getting heads on at least one ip?
(a). 3/8 (b). 7/8
2.25
You ar
Lane
1.7 (a).
Eye Color in Students
1
4
11
10
Brown
Blue
Green
Gray
(b).
Eye Color
Number of Students
0
Brown
2
Blue
4
6
Green
8
Gray
(c).
Eye Color
12
10
8
6
4
2
0
Number of Students
Brown
Blue
Green
Lane et al.
3. If you are told only that you scored in the 80th percentile, do you know from that description
exactly how it was calculated? Explain
No, because percentiles can be calculated in three
Introduction
Define the functions of statistics
Define Descriptive Statistics and inferential statistics
Provide at least one example of the relationship between descriptive and inferential statistic
Between-subjects design
A between subjects design is a way of avoiding the carryover effects that can
plague within subjects designs, and they are one of the most common experiment types
in some scien
H0; Peach = Plum;
Plum
You would reject the Ho if it
than 2.819
And the t= 2.3530
Running a two sample t test for the data results in the following numbers
T= -3.759
p-value =0.0016
df= 16.36
Ho: u(
In order to increase the reliability of the conclusions drawn, we included only studies that are either
narrative reviews of the literature, meta-analytic reviews (which incorporate the data from many