Fall 2011
01:830:200 – Quantitative Methods in Psychology

Instructor:

Dr. John Ackroff

ackroff@rci.rutgers.edu

Tillett 223

Office Hours:  Wednesdays, 3:30 – 4:30, and by appointment

Textbook:

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

Available at New Jersey Books, 37 Easton Avenue, New Brunswick. A limited number are available at the Rutgers Bookstore.

About Quantitative Methods – Course Goals:

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:

You are expected to comply with Rutgers' Academic Integrity Policy.

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:

Lecture Schedule

DateLectureAssignment for next class
Thursday, September 1Class business; basic math testRead the Syllabus and Chapter 1; register your clicker.
Recitations do not meet this week.
Tuesday, September 6The basics: Mean, variance, & standard deviationRead Chapter 2.
Recitations do not meet this week.
Thursday, September 8(Monday Classes)
Tuesday, September 13Frequency Distributions: Actual and TheoreticalRead Chapter 3.
Thursday, September 15The Normal CurveRead Chapter 4.
Tuesday, September 20Z scores are THE scoresReview Chapter 4.
Thursday, September 22The standard error of the mean and Confidence Intervals (Begin challenging material.)Read Chapter 5.
Tuesday, September 27Degrees of freedom and establishing population parametersRead Chapter 6.
Thursday, September 29(No Class)
Tuesday, October 4The t distribution, estimated CIs, and hypothesis testing
Thursday, October 6Review Chapters 1 - 6Read Chapter 7
Tuesday, October 11Correlation IRead Chapter 8.
Thursday, October 13Correlation II; Regression IReview Chapter 8.
Tuesday, October 18Regression 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, October 20Review for MidtermChapter 8 CPE.
Tuesday, October 25MIDTERM CONCEPTUAL EXAM
Thursday, October 27MIDTERM COMPUTATIONAL EXAMRead Chapter 9.
Turn in CPE 8 and corrected OE 8 at the start of the exam.
Tuesday, November 1One-way independent groups ANOVA IReview Chapter 9.
Thursday, November 3One-way independent groups ANOVA IIRead Chapter 10.
Tuesday, November 8Factorial ANOVA IReview Chapter 10.
Thursday, November 10Factorial ANOVA IIReview Chapters 9 and 10.
Tuesday, November 15ReviewReview ANOVA for exam.
Thursday, November 17ANOVA CONCEPTUAL EXAM
Tuesday, November 22ANOVA COMPUTATIONAL EXAMRead Chapter 11.1 - 11.3 and 11.6 through first 11.9
Turn in CPE 10 and corrected OE 10 at the start of the exam.
Thursday, November 24(No Class – Thanksgiving)Read Chapter 11.1 - 11.3 and 11.6 through first 11.9
Tuesday, November 29Multiple comparison's and Dunnett's tRead second 11.9 through the end of the chapter.
Thursday, December 1Tukey's HSDRead Chapter 13.
Tuesday, December 6Statistical assumptions, ordinal data, nominal data, and FMAXRead Chapter 14.
Extra Credit paper due at beginning of Lecture
Thursday, December 8Chi SquareReview for Final.
Tuesday, December 13Review
Chapter 13 and 14 CPE due at beginning of Lecture.
Monday, December 19FINAL EXAM, Sections 03 - 0612:00 - 3:00 PM, Beck AUD
Tuesday, December 20FINAL EXAM, Sections 11 - 148:00 - 11:00 PM, LSH Aud
Rules for Final Exam Conflicts

Recitation Schedule

NOTE:  Recitation sections do not meet until the week of September 12.

Week ofTopicChaptersDue
September 12Basics and frequency distributions1 and 2
September 19The Normal Curve and Z scores3 and 4CPE 1, 2, and 3
September 26standard errors and confidence intervals,5CPE 4
October 3t scores, df, Hypothesis testing; Correlation6 and 7CPE 5
October 10Correlation and regression; the null hypothesis7 and 8CPE 6
October 17Regression; review for exam8CPE 7
October 24No recitations this week.
October 31No recitations this week.
November 7Single factor designs: F tests and the t test9
November 14Factorial ANOVA10CPE 9
November 21No recitation sections this week.
November 28t-tests and multiple comparisons11
December 5t-tests and multiple comparisons, cont'd11CPE 11.3 - 11.5; CPE 11.6 and 11.7
December 5Assumptions underlying parametric tests; FMAX; ordinal data and Chi squared; review13 and 14

Online Exam Schedule

The Exams are available from 12:05 AM on first day of availability through 11:55 PM on the last day.
ChapterAvailable OnlineCorrections Due

1September 5 - September 19Recitation 2, week of September 19
2September 12 - September 19Recitation 2, week of September 19
3September 12 - September 26Recitation 3, week of September 26
4September 19 - October 3Recitation 4, week of October 3
5September 26 - October 3Recitation 5, week of October 10
6October 3 - October 10Recitation 5, week of October 10
7October 10 - October 17Recitation 6, week of October 17
8October 10 - October 24Exam, October 27th
9November 7 - November 14Recitation 8, week of November 14
10November 14 - November 21Exam, November 22
11No online exam
12No online exam
13December 5 - December 12No corrections allowed
14December 12 - December 19No corrections allowed