Fall 2009
01:830:200 – Quantitative Methods in Psychology

Instructor:

Dr. John Ackroff

ackroff@rci.rutgers.edu

Tillett 613

Office Hours:  Tuesdays, 3:30 – 5:00, and by appointment

Web Page:

http://www.rci.rutgers.edu/~ackroff/QM  PowerPoint presentations for each lecture will be available here before each lecture.  Other information may also be found here.

Textbook:

Karlin, Robert. A..   Behavioral Statistics in Simple English.,  5th Edition, Revision 1.

You will also need an eInstruction CPS RF clicker (with numbers as well as letters on the keys). If you have one from another course, you can reuse it.

Both are available at New Jersey Books, 108 Somerset St.

About Quantitative Methods:

Many people think Quantitative Methods is a course intended to make their lives difficult. In fact, the principles and techniques you will learn in this course can improve your life. We will talk about how to interpret and understand various forms of data and claims that are made about what those data mean. While the purpose of this course is to teach you how to analyze data you may gather and interpret data that are presented in the psychological literature, you will also see how you can apply the information discussed in the course to situations outside the classroom.

The course is structured to give you several presentations of each concept in a variety of formats. For each topic, you will read the book, hear it described and explained in lecture, do the Computational Practice Exercises, go over them (and similar problems) in your recitation section, answer questions on the Online Exam, have a second discussion in a review session in lecture, and have the opportunity to review the book, your notes, Computational Practice Exercises, and Online Exams as you study for the exams in class. As psychologists, we know that providing multiple exposures spread over time leads to better and longer-lasting learning than a single intensive (e.g. cramming) exposure. All this may seem like it is a lot of work, and repetitive. But this is done by design, and if you stick with the program, you should finish the course with a good grasp of the material.

Grading:

Extra Credit:

There are three ways you can earn extra credit in this course. Remember, extra credit points are added to your score after we determine the cutoff points for each grade, so the points may result in your receiving a higher grade. Since grades are determined before we look at extra credit, not doing it cannot lower your grade in any way.

Attendance and Correspondence Policies:

Schedule

DateLectureDueAssignment for next class
Tuesday, Sep 1Class business; basic math testGet book, read Syllabus and Chapter 1. Register your clicker.
Recitations do not meet until the week of September 14
Thursday, Sep 3The basics: Mean, variance, & standard deviationRead Chapter 2.
Tuesday, Sep 8(Monday classes)
Thursday, Sep 10Frequency Distributions: Actual and TheoreticalChapter 1 CPE. (Each CPE should be stapled; keep a copy!)Read Chapter 3.
Tuesday, Sep 15The Normal CurveChapter 2 CPE.Read Chapter 4.
Thursday, Sep 17z scores are THE scoresChapter 3 CPE.Review Chapter 4.
Tuesday, Sep 22The standare error of the mean and Confidence Intervals (Begin challenging material.)CPE 4.1 - 4.6Read Chapter 5.
Thursday, Sep 24Degrees of freedom and establishing population paarametersCPE 4.7 - 4.9Read Chapter 6.
Tuesday, Sep 29The t distribution, estimated CIs, and hypothesis testingChapter 5 CPE.Read Chapter 7.
Thursday, Oct 1Correlation IChapter 6 CPE.
Tuesday, Oct 6Correlation IIRead Chapter 8.
Thursday, Oct 8Regression IChapter 7 CPE.Review Chapter 8.
Tuesday, Oct 13Regression II and residual variance and the standard error of the estimate; Hypothesis testing: H0 and H1, individual differences, and the limits of inference in correlational researchReview for Midterm.
Thursday, Oct 15Review for MidtermChapter 8 CPE.
Tuesday, Oct 20MIDTERM CONCEPTUAL EXAM
No recitations this week.
Thursday, Oct 22MIDTERM COMPUTATIONAL EXAMRead Chapter 9.
Tuesday, Oct 27One-way independent groups ANOVA IReview Chapter 9.
Thursday, Oct 29One-way independent groups ANOVA IIRead Chapter 10.
Tuesday, Nov 3Factorial ANOVA IChapter 9 CPE.Review Chapter 10.
Thursday, Nov 5No class
Tuesday, Nov 10Factorial ANOVA IIReview Chapters 9 and 10.
Thursday, Nov 12(No class)
Tuesday, Nov 17ReviewChapter 10 CPE.Review ANOVA for exam.
Thursday, Nov 19ANOVA CONCEPTUAL EXAM
Tuesday, Nov 24ANOVA COMPUTATIONAL EXAMRead Chapter 11.6 through first 11.9
Thursday, Nov 26No class -- Thanksgiving
Tuesday, Dec 1Dunnett's tRead second 11.9 throuh the end of the chapter, and Chapter 13.
Thursday, Dec 3Tukey's HSD; Statistical assumptions, ordinal data, nominal data, and FMAXRead Chapter 14.One copy of Extra Credit paper due in lecture, one in recitation.
Tuesday, Dec 8Chi SquareCPE 11.3 - 11.7 and 13Review for Final.
Thursday, Dec 10ReviewCPE 14
Thursday, Dec 17FINAL EXAM, Sections 11 - 148:00 - 11:00 PMLSH AUD
Wednesday, Dec 23FINAL EXAM, Sections 03 - 0612:00 - 3:00 PMBeck AUD
Rules for Final Exam Conflicts

Recitation Schedule

NOTE:  Recitation sections do not meet until the week of September 14.

Week ofTopicChapters
September 14Basics and the normal curveChapters 1 - 3
September 21z scores, scale scores, standard errors, CIsChapter 4
September 28population parameters, t scores, df, standard errors, and CIs with t, hypothesis testingChapters 5, 6
October 5CorrelationChapter 7
October 12Regression and the null hypothesis; review Chapters 1 - 8
October 19No recitations this week.
October 26No recitations this week.
November 2Single factor designs: F tests and the t testChapter 9
November 9Factorial ANOVAChapter 10
November 16Review for ANOVA Exam
November 23No recitation sections this week.
November 30t-tests and FMAX; Chi squareChapters 11 and 13
EXTRA CREDIT DUE THIS RECITATION
December 7Chi square; reviewChapter 14 and review

Online Exam Schedule

ChapterAvailable OnlineCorrections Due

1September 14 - September 28Recitation 3, week of 9/28
2September 14 - September 28Recitation 3, week of 9/28
3September 14 - September 28Recitation 3, week of 9/28
4September 21 - October 5Recitation 4, week of 10/5
5September 21 - October 5Recitation 4, week of 10/5
6September 21 - October 5Recitation 4, week of 10/5
7October 5 - October 19Turn in after computational exam Thursday, 10/22
8October 12 - October 19Turn in after computational exam Thursday, 10/22
9October 26 - November 9Recitation 6, week of 11/9
10November 2 - November 16Turn in after computational exam Tuesday 11/24
11No online exam
12No online exam
13November 30 - December 7No corrections allowed
14November 30 - December 7No corrections allowed