Instructor:                          Dr. Robert Rosati

 

Teaching Assistant:    Ms. Lindsay Pyc

 

Class Meetings:              Lecture                  Tuesday               6:30 - 9:20

                                                                                          Thursday             6:30 - 7:30

                                                      Lab                           Thursday             7:30 - 9:20

                                                                                                           

Office Hours:                   Tuesday               5:50 - 6:30 (Appointments are Recommended)

  (212 Hauser)                   Thursday             5:50 - 6:30

                                                     

Messages:                            Phone                     (516) 463-5624 (Leave Message)

                                                      Email                      psyrjr@hofstra.edu (Best Method)

 

Home Page:                       http://people.hofstra.edu/faculty/Robert_J_Rosati

 

Principal Course Textbooks:

 

King, B.M. & Minium, E.M. (2008).  Statistical reasoning in the behavioral sciences (5th ed.).  New York:  John Wiley & Sons.

 

Norusis, M.J. (2009).  SPSS 16.0 Guide to Data Analysis.  Englewood Cliffs, N J:  Prentice Hall. (http://www.spss.com)

 

Optional:

 

SPSS.  (2008).  SPSS 16.0 for Windows Student Version.  Englewood Cliffs, N J:  Prentice Hall.  (http://www.prenhall.com)

 

       (This text includes software that allows you to run SPSS on a Windows personal computer.  It should only be purchased if you have access to this type of system.  Before purchasing the software, see the instructor.)

 

Supplies:

 

USB Drive or Disk

Inexpensive Statistical Calculator

 

Important Dates:

 

3/10 - Exam 1

4/14 - Exam 2

4/20 - Last Day to Withdraw

5/12 - Final (Exam 3)


Readings and Homework:

                  A series of readings have been assigned that follow along with the schedule of lectures.  Students are responsible for reading each assignment and should begin readings immediately.

                  Homework assignments will be made periodically during the course (see page 4).  Assignments are to be turned into the Lab Instructor on the same night they will be discussed.  Unless told otherwise, the assignment is due the week after the chapter is discussed in class.  When handing in all homework assignments always try to illustrate answers with sufficient detail so that the Lab Instructor can understand how the answer was obtained.  Neatness is also very important.  Late homework will not be accepted unless the Lab Instructor approves based on extenuating circumstances.  Further, assignments will not be accepted after two weeks from the due date.

 

Labs:

                  Students are required to attend all lab sessions. It is during the lab sessions that students will learn how to use the computer and run SPSS programs.  Also during labs there will be a discussion of homework due that session.  Any assignments given during lab session will be due the following session.  If you miss a lab, you are still responsible for the assignment and it must be turned in on the day that it is due.  Bring SPSS book and disk to lab.

 

Exams:

                  Three Exams will be given throughout the semester.  Exams will cover all readings and lectures from this course.  No make up exam is allowed unless there are extenuating circumstances.  Please contact me as soon as possible if you miss an exam.

 

Grading:

                  Each student's grade will be based on a composite of all work assigned this semester. Composite is as follows:

                                    Homework & Lab Assignments                                25%

                                    Exam 1                                                                                          25%

                                    Exam 2                                                                                          25%

                                    Exam 3                                                                                          25%      

 

Learning Goals and Objectives:

Learning Goal 2: Research Design and Statistics: Students will understand how research methods are used to test alternative explanations of human thought and behavior in a variety of problem domains, both basic (theoretical) and applied (practical).

Learning Objective 2b: Students will be able to identify basic descriptive statistics, such assorted test of central tendency (e.g., mean, median, mode), variability (e.g., standard deviation, variance, range), and association (correlation); understand how they assess patterns in measurements and among variables; interpret these tests when encountered in the research literature; and in some instances calculate these tests from formulas or statistical software packages.

Learning Objective 2c: Students will be able to identify basic inferential statistics, such as the t-test and the F-test, and understand how they assess reliability of results; interpret these tests when encountered in the research literature; and in some instances calculate these tests from formulas or statistical software packages.

Learning Goal 4: Computer Use.  Students will gain experience and expertise with computer use as it pertains to Psychology.

Learning Objective 4a: Students will gain competence in the use of software for writing reports, organizing and analyzing data, and for communicating ideas and data using presentation software or by preparing visual (poster) displays.


Lecture and Reading Schedule

 

Week

Dates

Topic

Chapter

 

 

 

(King & Minium)

 1

1/29

Course Overview, Preliminary Concepts

1, 2 (Skip 2.7-2.9)

 

 

 

 

 2

2/5

Frequency Distributions

3

 

 

 

 

 3

2/10, 2/12

Central Tendency, Measures of Variability

4, 5

 

 

 

 

 4

2/17, 2/19

Normal Curve, Raw to Standard Scores

6

 

 

 

 

 5

2/24, 2/26

Pearson Correlation Coefficient, Rank Order Correlation

7

 

 

 

 

 6

3/3, 3/5

Bivariate Regression and Prediction

8, 9

 

 

 

 

 7

3/10, 3/12

Exam 1, Introduction to Statistical Inference (Sampling)

11

 

 

 

 

 8

3/17, 3/19

Sampling Continued, Probability

11, 10

 

 

 

 

 9

3/24, 3/26

One Sample Hypothesis Testing,

12

 

 

Related Issues in Hypothesis Testing

 

 

 

 

 

10

3/31, 4/2

Two Sample Hypothesis Testing, Confidence Intervals

14, 15, 17

 

 

 

 

11

4/7, 4/9

Spring Break

 

 

 

 

 

12

4/14, 4/16

Exam 2, Type I and II Errors

13

 

 

 

 

13

4/21, 4/22

Analysis of Variance (ANOVA)

19.1-19.12

 

 

 

 

14

4/28, 4/30

Planned and Post Hoc Comparisons, Two Way ANOVA

19.13-19.16, 20.1-20.9

 

 

 

 

15

5/5

Chi-Square, Nonparametric Statistics

18, 21

 

 

 

 

16

5/12

Final (Exam 3)

 

 


 

King & Minium Homework Assignments

 

Chapters are in the order of when the material is covered in class.

 

Chapter

Exercise

1

1,4,7,10,11,12,15

2

1,5,7,19

3

2,4,13

4

1,10,12,13,14,15,15,16,17

5

4,5,8,10,11,18,21,25

6

2,5,6,7,9,10,12

7

1,3,4,12,8,9,10,18,19

8

1,2,5,13,19

9

9,14,15,16,17,19

11

1,2,3,8,11

10

1,2,4,5,6

12

3,7,8,11,12,14,15,17,22

14

2,3,4,10,11

15

3,4,7,8

17

1,2,3,4,5,7,8,16,25,26

13

1,2,7,11,13

19

4,5,7,8,9,14,16

20

5,8,9

18

1,5,8,11,12,14,15

21

7,12,16

 

 


Lab Schedule and Assignments

 

Week

Dates

Topic

Chapter or Pages

 

 

 

(Norusis)

 1

1/29

No Lab

 

 

 

 

 

 2

2/5

Introduction to SPSS and Displaying Data

1, 2, 4, 7

 

 

 

 

 3

2/12

Distributions and Descriptive Statistics

5

 

 

 

 

 4

2/19

Comparing Groups

6

 

 

 

 

 5

2/26

Correlation

21 (Bivariate Correlation)

 

 

 

 

 6

3/5

Regression

20

 

 

 

 

 7

3/12

Plotting Data

9

 

 

 

 

 8

3/19

Sampling

10 (Samples), 11

 

 

 

 

 9

3/26

Tables

8

 

 

 

 

10

4/2

One Sample Hypothesis Testing

12

 

 

 

 

11

4/9

Spring Break

 

 

 

 

 

12

4/16

Two Sample Hypothesis Testing

13, 14

 

 

 

 

13

4/23

One-Way and Two-Way ANOVA

15, 16

 

 

 

 

15

4/30

Chi-square, Nonparametric Statistics

17, 18

 

 

 

 

 

 

 

 

 

 

 

 

 

 

                                                                                                                                                                                                                                                                                                         01/25/09