Psychology 40
Hofstra University
Instructor:
Dr. Robert Rosati
Teaching Assistant:
Mr. Raja Kainth
Class Meetings:
Lecture
Lab
Tuesday
Thursday
Tuesday
Thursday
Spring 2014
6:30 - 8:20
7:30 - 9:20
8:20 - 9:20
6:30 - 7:30
Office Hours:
(212 Hauser)
Tuesday
5:50 - 6:30 (Appointments are Recommended)
Messages:
Phone
Email
(516) 463-5624 (Leave Message)
psyrjr@hofstra.edu (Best Method)
Home Page:
http://people.hofstra.edu/faculty/Robert_J_Rosati
Principal Course Textbooks:
Green, S.B. & Salkind, N.J. (2011). Using SPSS for Windows and Macintosh: Analyzing
and Understanding Data. New Jersey: Pearson.
King, B.M., Rosopa, P.J. & Minium, E.M. (2010). Statistical reasoning in the behavioral
sciences (6th ed.). New York: John Wiley & Sons.
Supplies:
USB Drive or Access to Network Disk
Inexpensive Statistical Calculator
Data Files for SPSS
http://www.pearsonhighered.com/salkind/
Important Dates:
3/13 - Exam 1
4/14 - Last Day to Withdraw
4/17 - Exam 2
5/13 - Final (Exam 3) Date may change
1
Psychology 40
Hofstra University
Spring 2014
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. 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 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 textbooks 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 via email if you miss an exam. You
have one week from the exam date to take a make up exam. No make up exam can be
taken once graded tests have been returned to students. Missed exams are scored as zero.
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.
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Psychology 40
Hofstra University
Spring 2014
Lecture and Reading Schedule
Week
Dates
Topic
1
1/28
Course Overview, Preliminary
Concepts
2
2/4, 2/6
Frequency Distributions, Central
Tendency, Measures of Variability
3, 4, 5
3
2/11, 2/13
Normal Curve, Raw to Standard Scores
6
4
2/18, 2/20
Pearson Correlation Coefficient
7
5
2/25, 2/27
Rank Order Correlation, Bivariate
Regression
8
6
3/4, 3/6
Prediction and Related Issues,
Statistical Inference (Sampling),
Probability
9, 11,
10 (Skip 10.4 - 10.5)
7
3/13
Exam 1
8
3/18, 3/20
Spring Break
9
3/25, 3/27
One Sample Hypothesis Testing,
Related Issues in Hypothesis Testing
12
10
4/1, 4/3
Two Sample Hypothesis Testing
14
11
4/8, 4/10
Two Sample Hypothesis Testing
Continued, Confidence Intervals,
Type I and II Errors
15, 17, 13
12
4/17
Exam 2
13
4/22, 4/24
Analysis of Variance (ANOVA)
18.1-18.12
14
4/29, 5/1
Planned and Post Hoc Comparisons,
Two Way ANOVA
18.13-18.16, 19.1-19.9
15
5/6
Chi-Square, Nonparametric Statistics
20, 21
16
5/13
Final (Exam 3) – Date May Change
3
Chapter
(King, Rosopa & Minium)
1, 2 (Skip 2.7-2.9)
Psychology 40
Hofstra University
Spring 2014
King, Rosopa & Minium Homework Assignments
Chapters are in the order of when the material is covered in class.
Chapter
1
2
3
4
5
6
7
8
9
11
10
12
14
15
17
13
18
19
20
21
Exercise
1,4,7,10,11,12,15
1,5,7,19
2,4,13
1,10,12,13,14,15,16,17
4,5,8,10,11,18,21,25
2,5,6,7,9,10,12
1,3,4,8,9,10,12,18,19
1,2,5,13,19
9,14,15,16,17,19
1,2,3,8,11,12
1,2,4,5,6,10
3,7,8,11,12,14,15,17,22
2,3,4,10,11
3,4,7,8
1,2,3,4,5,15
1,2,3,11,17,18
4,5,7,8,9,14
1,2,3,5,6
1,5,8,10,11,13,14
2,5,6
4
Psychology 40
Hofstra University
Spring 2014
Lab Schedule and Assignments
Week
Dates
Topic
1
1/30
Introduction to SPSS
Lesson
(Green & Salkind)
1–6
2
2/4
Introduction to SPSS (continued)
7 - 10
3
2/11
Descriptive Statistics: Qualitative
Variables
20
4
2/18
Descriptive Statistics: Quantitative
Variables
21
5
2/25
Correlation
31
6
3/4
Regression
33
7
3/11
Creating Variables
19
8
3/18
Spring Break
9
3/25
One Sample Hypothesis Testing
22
10
4/1
Two Sample Hypothesis Testing:
Independent Groups
24
11
4/8
Two Sample Hypothesis Testing:
Dependent Groups
23
12
4/15
No Lab
13
4/22
One-Way ANOVA
25
14
4/29
Post Hoc Comparisons - Tukey HSD,
Two-Way ANOVA
25, 26
15
5/6
Chi-square
40, 41
02/12/14
5