Psychology
3214  Quantitative Methods in Psychology
Fall 2018
Lecture
Time: M,W,F 10:3011:20AM
Room: 201 LSW (Life Sciences West)

Laboratory
Times: W 11:30PM  1:20PM or 1:30  3:20PM
Room: 015 NH (basement of North Murray Hall)

Instructor: James W. Grice, Ph.D.
Office: 416 North Murray
Phone: 4057446567
email: james.grice]att]okstate.edu
Office Hours: M,W 2:453:45 or by appointment

Lab Instructor: Ian Jones
Office: 015 and 005 North Murray
email: ian.t.jones]att[okstate.edu
Office Hours: T 10:0012:00PM

Syllabi & Calendar
Announcements : Most Recent Listed First

Finals Week (Dec 10th)

Dead Week (Dec 5th)

Week #1516 (Nov 26th, Dec 3rd)
 Here's the article to read this weekend.
We will have a short quiz over the article in class on
Monday. While reading the article, answer the following questions to
prepare for the quiz: What was the goal of the study? Who participated
in the study? Participants were photographed. How was the narcissism of the
photographed participants' measured? Did friends or relatives rate the
narcissism of the photographed participants? How many lab team members
(observers) rated the photographed participants? What was the correlation
between the observers' ratings and the photographed persons' narcissism
scores? Was it statistically significant? Did the authors conclude that
narcissism could be predicted with a high degree of accuracy from photographs?
Which of the Big Five personality traits was also measured and examined in the
study.

Week #1314 (Nov 12th23rd)
 Here's the video on the chisquare
goodnessoffit test. You'll hear a plug for free speech at the beginning
of the video from a classic Kansas tune. Copy the problem and computations
from the video and turn them in for points. Also, conduct the same analysis
for the women from Buss et al.'s Study #3 and turn in your work for points.
Everything is due on Monday, Nov. 26th.

Week #12 (Nov 5th9th)
 Here is a chisquare test of
association video. Copy the computations from this
video to your notes and bring them to class for points. It must have
been a bad day when I shot it, because there are quite a few spelling errors
throughout! More importantly, it does not show you how to compute and
interpret an odds ratio. So, I won't expect you to do that for the assignment
below. I'll complete the OR in class on Monday, and we'll look at another
example as well to prepare for the quizam on Wednesday.
 After copying the computations/interpretations from the video,
conduct an NHST for this assignment.
Again, you don't have to complete the OR. We'll do that in class.
 Read this short and entertaining paper
from some years ago. We'll have a 5item quiz on it on
Monday. What were men and women asked to do in the first study? In the
second study, what were the dependent variables analyzed? How was the third
study similar or different in design compared to the first two studies? What
were the two types of infidelity considered in the paper? How did men and
women compare, across all studies, with regard to these two types of
infidelity? What statistical analyses were used in the three studies? Did the
authors report and interpret effect sizes and confidence intervals?
 We'll have a quizam on Wednesday, in the lab,
covering the chisquare test of association.

Week #11 (Oct 29thNov 2nd)
 Download and study this brief handout
regarding the four scales of measurement. It clearly describes the
difference between interval and ratio scales.
 Here's the extracredit assignment if you wish to earn back 50% of the
points you missed on the takehome quizam. You can find the relevant video in
Week #10 to walk you through an ANOVA. Your work here must be neat and
accurate to earn back the points. If you turn in sloppy or shoddy work, no points will
be given.

Week #10 (Oct 22nd27th)
 Read pages 14 of this
Four Bad Habits paper for Monday, Oct. 29th. You do not have to read the
entire paper, only the abstract, introduction, and first bad habit.
We'll have a short quiz over it in class on Monday.
What is the overall purpose of the paper? Who is the saint mentioned in the
introduction? What is "habitus?" What are two general forms of inference? What
type of inference is NHST? What is the type of inference most psychologists
truly wish to make through their research? What popular task did Schmidt and
Besner use in their study? Which type of analysis did Schmidt and Besner
perform on their data? When the replication data were analyzed in OOM, what
was found?
 Here is a video for the onefactor
betweensubjects ANOVA we've covered in class.
 The OSU orchestra has a concert Thursday night. They'll be playing music
from the Harry Potter movies as well as other movies, and they'll have a
costume contest. I went last year, and it was a fun show. If you notice a
tall, thin viola player with an awesome head of hair (unlike his old man),
that is our son, Jacob.

Week #9 (Oct. 1519th)

Week #8 (Oct. 812th)
Everything below is due on Monday, October 15th. We'll have a short quiz
on that day as well over the article. If the printer in the lab is broken, save
your data and SPSS output to your flashdrive so you can load it and print it
later.

Due to my upcoming OOM workshop and traveling we will not be meeting in person this week,
nor will we have lab. To replace these hours and to keep us on track, you must watch the online
lectures linked below and complete the assignments. Several students really took a
hit to their grades on the second quizam or the Bem reading. To earn back some
points, you'll see the assignments for this week are to be turned in for
points. Follow the videos closely and do your work neatly to earn maximum
points.
 Following the video and your course notes, work this dependent
samples ttest problem by hand, and turn
in your work for 15 points! If you need to review the dependent samples
ttest, you can watch this video from a
previous semester.
 By the way, if you wish to compute p_obs for ttests or the ztest for
means, you can use this online calculator: https://surfstat.anu.edu.au/surfstathome/tables/t.php
 Watch
this
online "lecture" for the independent samples ttest we learned in class.
Copy the work from the video and turn in for 10 points!
You do not have to copy the problem (question) itself, just all the
work beginning with the populations and ending with the interpretation of the
CI.
 Work this independent samples ttest
problem by hand and turn in your answers for 20 points!
 Instead of learning a new statistic, I would like you to
make your way to the 015 lab and run an independent samples ttest on the
problem you worked above. You can go to the lab on Wednesday during your
scheduled hours, or you can check the schedule on the lab door for open lab
times. Here are four videos showing you how to run and interpret an
independent samples ttest in SPSS (hopefully, you'll find at least one of
these to be clear!):
Enter the data from the problem you worked by hand into SPSS
and run the analysis. Check your hand computations against the results in SPSS.
Print the output and turn it in for 15 points!
Also, as an aside, the Levene's statistic tests for the equality of
population variances, not sample variances. Just like the NHST techniques we've
been learning, the Levene's test is a matter of estimating population
parameters, in this case variances. Several of the videos do not make this point
clearly. Always keep this point in mind. Whenever you see a pvalue in NHST, you
are trying to make an inference (conclusion) about some hypothetical population,
not your sample. If you want to describe your sample, simply report means,
standard deviations, and whatever else you want without any pvalues.
 Read the Introduction and Study #1 (pp. 174176; Figure 1
is on page 177) of this "belief in
supernatural agents in the face of death" research paper.
We will have a short quiz over this paper on Monday,
Oct. 22nd. What was the overall purpose of the study? Who participated
in the study? What was the independent variable? What were the two dependent
variables? Were the effects significant? Did the authors report effect sizes?
Glance at Study #2. Was it an exact replication?
 Watch
this
video on the difference between estimating population parameters and Inference
to Best Explanation (IBE). I want you to start thinking about IBE as we
move forward in the class. One question you can ask after watching the video
is, "where the authors of the Death Threat paper interested in drawing an
inference to population parameters, or were they interested in drawing an IBE?

Week #7 (Oct. 15th)

Here is the lab assignment for this week.
You'll be computing a singlesample and dependent ttest by hand and in SPSS.

Read pages 407411 (through Study #1) of this
article by Daryl Bem, a well known social psychologist. What is the study
about? What are the methods used? What are the pvalues for the main results?
Do you think Bem used p_crit of .05 or .01?
How large are the statistical effects using Cohen's Conventions (small,
medium, large)? Did Bem report any confidence intervals? What are some
of the individual difference variables he explored in the study? Be sure to
read any footnotes for this paper or any other you might encounter. We'll have a brief
5item quiz over this paper on Monday, Oct. 1st, in class.
 Read James Alcock's
critique of Bem's first study (You can scroll down and focus just on Experiment #1).

Week #6 (Sept. 2428th)
 Quizam #2 in lab this week! Here's a review
sheet of the topics covered in the multiplechoice items on the quizam.
The front page of the quizam will ask you to work through a ztest for means
from beginning to end, just like we've done in class.
 After the quizam, Ian will teach you about APA style. For an assignment
this week, write up the two ztest for means results from last week's lab. Do
not get fancy here. Simply follow the APA style template on your zscore for
means handout, changing the variable names and statistics. Use Word to type
your results in APA style.
 Read the 2010 article by LopezLeon and Rosner and answer these questions:
 What was the goal/purpose of the study?
 Describe the sample of individuals who participated in the study
(biological sex, age, etc.).
 Did the authors draw a random sample? Why does this matter for the
ztests the authors conducted?
 What does FSIQ indicate? List the names of the four index scores for the
WISCIV used in the study.
 Why do you think the authors tested for normality for each of the index
scores and FSIQ?
 The authors conducted ztests for means on the FSIQ and index scores.
Which results were statistically significant at the .05 level? What is z_obs
and p_obs for the FSIQ scores?
 Based on the entirety of the study, were the authors interested in
estimating population means for violent juveniles, or were they more
interested in the causes of lower IQs among juveniles...or both?

Week #5 (Sept. 1721st)

Week #4 (Sept. 1014th)

Week #3 (Sept. 37th)
 We will have our first Quizam this week IN LAB. Here's
a review sheet for the quizam. The quizam will be
scheduled for the first 30 minutes of the lab. After that, Ian will have a
data entry and definition project for you to work on as a class.
 Be sure to bring your calculators to class and to the lab. You will have
to show all of your computations on this first quizam.
 If you want to review how to compute SS, variance, and std dev, you can
watch this video from a previous
semester.
 Here are three videos from the Khan Academy on populations and samples and
the different statistics for each. I covered this material on Friday, and I
don't have a personal video to share. I think Khan does an admirable job with
the material.
 FYI, here's the gender dysphoria article I mentioned on Friday and one
former dean's take on the controversy it provoked. These sorts of
controversies are unfortunately becoming commonplace. What do they mean for
academic and scientific freedom?

Week #2 (Aug. 2731st)

Week #1 (Aug. 2024th)

Here's the HW assignment due on in class on Monday, August 27th.

If you need to review material from the last two lectures, you
can watch these videos from previous semesters. If you watch these videos,
ignore the front
material (for example, ignore my requests for you to copy and turn
in material on the slides). Again, these are from previous semesters.
 Welcome to Statistical Methods for
Psychology!
 Here's what you need for this class:
 A scientific calculator.
You don't need a fancy TI83 or similar calculator, although one of these
will be fine, but a simple calculator will do. Make sure that if you buy a
new, simple calculator for this course it is labeled as a "scientific
calculator." A scientific calculator will possess a variety of statistical
functions, such as the mean and standard deviation. You can purchase a
simple scientific calculator at WalMart, Walgreens, etc. for approximately 10
U.S. dollars.

Online Materials
Homework Assignments
APAStyle Examples
Update: 8December2018; 1:00PM