Instructor:
Psychology Northwest College
PSYC 2317 – Statistical Methods in Psychology
CRN: 28393 Fall, 2014
Location: Room 210, Spring Branch Campus
Lectures
3-Hour Lecture/ 48 hours per semester/ Term (15
of weeks)
Dr. Janice T. Greco
Instructor Contact Information Phone number 713-7185537, or email [email protected]
Office location and hours AD-7 Spring Branch Campus
Hrs: 12:30 PM to 3:00 PM TTH. Call for an appointment.
Office location and hours
Course Description: An
introduction to the use of scientific methods in psychology
and to the statistical analysis of data. Attention is given to
descriptive, correlational, and inferential statistical
methodology.
Prerequisites: Must be placed into college level reading (or
take GUST 0342 as a co- requisite) and be placed into
college level writing (or take ENGL 0310/0319 as a corequisite) and be placed into MATH 0312 (or higher).
Course Goal: To develop knowledge and skills in the use of
proper statistical methodology (both descriptive and
inferential statistics) in analyzing data collected by scientific
methods in psychology
Student Learning Outcomes
1. Define and identify basic concepts in inferential and
descriptive statistics.
2.Explain and apply the concepts and procedures of
descriptive statistics.
3.
Describe and utilize principles of probability and
hypothesis testing.
4.
Apply and interpret common inferential statistical tests
and correlational methods.
Learning objectives
OBJECTIVES FOR SLO #1: Define and identify basic
general concepts in statistics.
1.1. CORE DOMAIN 1: General Statistical Concepts and
Terminology
Define
1.1. Statistics 1.2. Population 1.3. Sample
1.4. Parameter 1.5. Statistic 1.6. Descriptive statistics
1.7. Inferential statistics
1.8. Sampling error.
1.2. CORE DOMAIN 2: Methodology
Define 2.1. The correlational method
2.2. The experimental
method
2.3.
3. CORE DOMAIN 3: Variables and Measurement
Define
3.1. Discrete variable
3.2. Continuous variable
3.3. Real limits
3.4. Scales of measurement
3.5. The
nominal scale
3.6. The ordinal scale
3.7. The interval
scale
3.8. The ratio scale
3.9. Summation notation (upper
case sigma, for summation)
OBJECTIVES FOR SLO#2:
Describe and explain concepts and procedures of descriptive statistics..
2.1. CORE DOMAIN 1: Frequency Distributions
Describe and explain the procedure to construct 2.1.1 Frequency distributi
Frequency distribution graphs
2.1.3. Histograms
2.1.4. Polygons
2.1.5. Bar graphs
2.2 CORE DOMAIN 2: The Shape of
Distribution Describe
2.2.1. Symmetrical distribution
2.2.2. Positively sk
Negatively skewed distribution
2.3 CORE DOMAIN 3: Central Tendency
explain
2.3.1. Central tendency
2. 3.2. Types of central tendency
2.3.3.
mean
2.3.4. Features of the median
2.3.5. Features of the mode
2.4. C
Variability
Describe and explain
2.4.1. Variability
2. 4.2 Ranges
2.4.3. Variance
2.4.4. Standard deviation
2.5 CORE
DOMAIN 5: Z-Scores (Standardized Scores) Describe and
explain
2.5.1. Z Scores, formula and application
2.5.2
Features of the Z distribution
2.5.2. Other standardized
distributions based on z-scores
OBJECTIVE FOR SLO#3: Describe and explain probability theory and hyp
3.1. CORE DOMAIN 1: Probability
Describe and explain the computation of
3.1.1 Probability
3.1.2. Probabi
the Unit Normal Table) 3.1.3. The Sampling Distribution of the mean
3.2.
Probability
Describe and explain
3.2.1. The distribution of sample mean
theorem
3.2.3. The expected value of the sample means
3.2.4. The stan
Hypothesis Testing
Describe and explain
3.3.1. Hypothesis testing ste
Null and Alternative
3.3.3. Non-directional (two-tailed) and Directional (on
rejection or critical values as a criterion
3.3.5. Types of decision: Reject a
3.3.6. Type I errors
3.3.7. Type II error
3.3.8. Statistical Power
3.3.9. Ef
OBJECTIVES FOR SLO#4: Describe, explain, and compare various infere
4.1 CORE DOMAIN 1: Single-Sample t test
Describe and compute
4.1.1. The single t test and it’s assumptions
4.1.2
distribution
4.1.4. Degrees of Freedom
4.1.5. Effect size
4.2. CORE DO
independent samples Describe and compute
4.2.1. The independent t t
PSYC2317 – page 4
4.2.2. The pooled variance
4.2.3. Effect size
4.2.4.
Homogeneity of variance assumption
4.3. CORE DOMAIN 3: The t test for related samples
Describe and compute
4.3.1. The t for related
samples.
4.3.2. Repeated-measures design
4.3.3.
Matched-subjects design.
4.3.4. Pros and cons of repeatedmeasures design
4.3.5. Effect size
4.4 CORE DOMAIN 4: Estimation
Define and
interpret
4.4.1. Purpose of Estimation
4.4.2. Point
Estimation
4.4.5. Confidence Intervals
4.4.6. Estimation
based on single-sample t
4.4.7. Estimation based on
independent-measures t 4.4.8. Estimation based on related
sample t
4.5 CORE DOMAIN 5: Analysis of Variance (ANOVA)
Explain and compute:
4.5.1. ANOVA: The F test and it’s
assumptions
4.5.2. F Distribution
4.5.3. Types of degrees
of freedom: Between and Within 4.5.4. Types of Sum
Squares: Between and Within
4.5.5. Types of Mean
Squares: Between and Within 4.5.6. The ANOVA summary
table, SSs, DFs, F5
4.6. CORE DOMAIN 6: Correlation
Explain and
describe:
4.6.1. Pearson’s r
4.6.2. Types of
correlations
4.6.3. Hypothesis testing with r
.
4.7. CORE DOMAIN 7: Regression
Explain and
compute:
4.7.1. Regression and regression line
4.7.2. The
least-squares solution
4.7.3. Coefficient of
determination
4.7.4. Standard error of estimate
SCANS or Core Curriculum Statement and Other
Standards
As part of the core curriculum, this course is designed to
help develop basic intellectual competencies such as
reading, writing, listening, critical thinking and computer
literacy. It offers the foundation for meeting the following
educational objectives:
• To apply arithmetic, algebraic, higher-order thinking and
statistical methods to modeling and solving real-world
situations.
• To represent and evaluate basic statistical information
verbally, numerically, graphically, and symbolically.
• To expand statistical/mathematical reasoning skills and
formal logic to develop convincing
statistical/mathematical arguments.
• To use appropriate technology to enhances statistical
thinking and understanding, to solve statistical
problems and provide critical evaluation of the results.
• To interpret statistical/mathematical models such as
formulas, graphs, and tables, and draw inferences from
them.
• To recognize the limitations of mathematical and statistical
models.
•
• CALENDER Aug 26th: Instruction Begins • I. Lectures Provided before text begins.
• Intro Psyc Review
Ethical Guidelines in Research
• II. Defining Statistics, Presenting Data and its center.
Chapter One: Introducing Statistics as a discipline.
Chapter Two: Presenting Data on charts and graphs.
Chapter Three: Central Tendency
Test I Tuesday Sept 23 . rd
III. Describing a distribution center , degree of spread.
Chapter Four: Spread or Dispersion
Chapter Five: Standardize Scores
Chapter Six: Probability Expressed as a proportion
IV. Comparing Samples and Determining Significance Chapter Seven: Comparing Samples
Chapter Eight: Significance and Hypothesis Tests
Test II The Mid Term Thursday, Oct 16th.
LAST DAY TO DROP OCT 31
ST
AT 4:30 PM
V. Fisher’s Studentized T Tests
Chapter 9 The Single T Test
Chapter 10 The Independent T Test
Chapter 11 The Repeated or Related T Tests
th
Test III Tuesday Nov 11 .
Get in a rough draft of your paper for corrections no
later than Nov 18th.
Completed papers for grading are due Tuesday , Nov
25th. No late papers will be accepted.
th
th
Thanks Giving Holiday November 27 through the 30 .
VI. The Linear Models.
Chapter 13 The F Test to compare two or more means.
Chapter 14 Correlations and Regression
Test IV, The Final, Tuesday December 9th, a
comprehensive exam using test items from all the previous
exams, covering all course material.
Instructional Methods:
There are lectures and my
notes, which are posted on the learning web.
The text provides basic concepts and demonstrates
calculations. Practice problems are provided at the end
of each chapter.
Students may ask questions in class, or use my email
([email protected]), the phone 713-718-5537,
Skype or make an appointment to discuss matters with
your instructor.
Never discuss specific test item with another student, as
such is considered academic dishonesty. Do contact me
directly with all of those questions.
Student Assignments
A. There are four tests: Test I, Test II (the Mid Term, Test
III and Test IV, Test VI (the Comprehensive final).
B. The paper is a Proposal describing an experiment
that students will plan. It should include:
1) The Problem, which describes the issue being
studied.
2) The Hypothesis, an educated guess about
the cause of an effect of interest.
a) The hypothesis wording describes:
(1)The null
hypothesis, which claims there is no effect.
(2) The
alternative hypothesis, which claims there is an effect.
(Both forms of the hypotheses are described as two or
more conditions being compared: the treated
experimental and untreated control groups.)
b) Describe both variables in a measureable way.
(1)
Independent Variable-the presumed cause is manipulated.
(2) Dependent Variable-the outcome characteristic scale.
c) Statistical Notation stating the measure being compared
across the research conditions for both forms of the
hypothesis should be depicted.
3) The Subjects being tested are described in terms of
randomness and diversity. Include the number of groups and
the number of subjects in each group.
4) The Apparatus used or any supplies needed should be
described. This includes all machines or documents used in
the study.
5) The Procedure used to manipulate group status should
be described so that the treatment of all conditions is clear to
the reader.
6) The Test Statistic used to determine the likelihood of
each outcome should specified. Omitting a test statistic is a
major omission in a statistics paper.
Without it, the paper is essentially incomplete. State which
test statistic (One of the Zs, Ts or Fs). Be sure to specify the
form of that test statistic as well. Which type of Z, or T, or F
should be identified.
DO NOT USE THE INDEPENDENT T TEST OR
PEARSON’S R.
7) The Results anticipated should be described in terms of
the hypotheses. These results are hypothetical as no real
subjects will be run.
8) The Conclusions drawn and named by choosing one of
two possible statistical Decisions. Either reject the null or failto-reject the null hypothesis.
These two are the only choices and must be stated that way.
An example of this written assignment is posted on the
learning web. Follow the form provided in the example
being sure to include all eight sections demonstrated in
the example and defined above. DO NOT COPY OR
PARAPHRASE THE CONTENT. NO PLAGIARIZED
PAPERS WILL BE ACCEPTED.
Course Grade formula:
Test I = 25% of course grade
Test II = 25%
Test III = 25%
Test IV = 25% (only the three highest of these four tests
are used to calculate 75% of the course grade)
the Paper = 20% and
Attendance = 5% ( Ten points are deducted for each
absence, 1 absence is a 90, 2 = 80, 3= 70 and so on.
Instructional Materials
Text (Softbound)
Gravetter and Wallnau, Statistics For the Behavioral
Sciences, Editions VIII, which is hard to find and more
expensive or VII which is cheaper and easier to find (either
will work) NYC, West, 2014
ISBN-13: 978-1-133-95657-0.
Notes provided within the course to serve as lectures.
HCC Policy Statement - ADA
Services to Students with
Disabilities
Any student with a documented disability (e.g.
physical, learning,
psychiatric, vision, hearing, etc.) who
needs to arrange reasonable
accommodations must
contact the Disability Services Office at the
respective
college at the beginning of each semester. Faculty is
authorized
to provide only the accommodations requested
by the Disability Support
Services Office. The ADA
counselor at Northwest College is Mahnaz Kolaini (713-7185422).
(District ADA Coordinator – Donna Price – 713.718.5165 Central ADA
Counselors – Jaime Torres - 713.718.6164
Martha Scribner – 713.718.6164 Northeast ADA Counselor- Kim Ingram –
713.718.8420
Northwest ADA Counselor – Mahnaz Kolaini – 713.718.5422 Southeast
ADA Counselor – Jette Lott - 713.718.7218 Southwest ADA Counselor –
Dr. Becky Hauri – 713.718.7910 Coleman ADA Counselor – Dr. Raj Gupta
– 713.718.7631)
HCC Policy Statement: Academic Honesty
A student who is academically dishonest is, by definition, not
showing that the coursework has been learned, and that
student is claiming an advantage not available to other
students. The instructor is responsible for measuring each
student's individual achievements and also for ensuring that
all students compete on a level playing field. Thus, in our
system, the instructor has teaching, grading, and
enforcement roles. You are expected to be familiar with the
University's Policy on Academic Honesty, found in the
catalog. What that means is: If you are charged with an
offense, pleading ignorance of the rules will not help you.
Students are responsible for conducting themselves with
honor and integrity in fulfilling course requirements.
Penalties and/or disciplinary proceedings may be initiated by
College System officials against a student accused of
scholastic dishonesty. “Scholastic dishonesty” includes, but
is not limited to, cheating on a test, plagiarism, and collusion.
Cheating on a test includes:
• Copying from another students’ test paper;
• Using materials not authorized by the person giving the
test;
• Collaborating with another student during a test without
authorization;
• Knowingly using, buying, selling, stealing, transporting, or
soliciting in whole or part the contents of a test that
has not been administered;
• Bribing another person to obtain a test that is to be
administered. Plagiarism means the appropriation of
another’s work and the unacknowledged incorporation
of that work in one’s own written work offered for credit.
Collusion mean the unauthorized collaboration with
another person in preparing written work offered for
credit. Possible punishments for academic dishonesty
may include a grade of 0 or F in the particular
assignment, failure in the course, and/or
recommendation for probation or dismissal from the
College System. (See the Student Handbook) HCC
Policy Statements Class Attendance - It is
important that you come to class! Attending class
regularly is the best way to succeed in this class. That
means checking in with the computer online at least
once a week. Research has shown that the single most
important factor in student success is attendance.
Simply put, going to class greatly increases your ability
to succeed. You are expected to attend all lectures
regularly. You are responsible for materials covered
during your absences.
Class participation equals class success.
HCC Course Withdrawal Policy
If you feel that you cannot complete this course, you will
need to withdraw from the course prior to the final date of
withdrawal. Before, you withdraw from your course; please
take the time to meet with the instructor to discuss why you
feel it is necessary to do so. The instructor may be able to
provide you with suggestions that would enable you to
complete the course. Your success is very important.
Beginning in fall 2007, the Texas Legislature passed a law
limiting first time entering freshmen to no more than SIX total
course withdrawals throughout their educational career in
obtaining a certificate and/or degree.
To help students avoid having to drop/withdraw from any
class, HCC has instituted an Early Alert process by which
your professor may “alert” you and HCC counselors that you
might fail a class because of excessive absences and/or
poor academic performance. It is your responsibility to visit
with your professor or a counselor to learn about what, if
any, HCC interventions might be available to assist you –
online tutoring, child care, financial aid, job placement, etc. –
to stay in class and improve your academic performance.
If you plan on withdrawing from your class, you may
withdraw yourself online (except for flex entry classes). This
must be done PRIOR to the withdrawal deadline to receive a
“W” on your transcript. (**Final withdrawal deadlines vary
each semester and/or depending on class length, please
visit the online registration calendars, HCC schedule of
classes and catalog, any HCC Registration Office, or any
HCC counselor to determine class withdrawal deadlines.)
In this class, I prefer you to take the responsibility to
withdraw yourself or contact a counselor to help you
withdraw. If you do not withdraw before the deadline, you will
receive the grade that you are making in the class as your
final grade.
Repeat Course Fee
The State of Texas encourages students to complete college
without having to repeat failed classes. To increase student
success, students who repeat the same course more than
twice, are required to pay extra tuition. The purpose of this
extra tuition fee is to encourage students to pass their
courses and to graduate. Effective fall 2006, HCC will charge
a higher tuition rate to students registering the third or
subsequent time for a course. If you are considering course
withdrawal because you are not earning passing grades,
confer with your instructor/counselor as early as possible
about your study habits, reading and writing homework, test
taking skills, attendance, course participation, and
opportunities for tutoring or other assistance that might be
available.
International Students
Receiving a W in a course may affect the status of your
student Visa. Once a W is given for the course (after you
have submitted withdrawal form formally), it will not be
changed to an F because of the visa consideration. Please
contact the International Student Office at 713-718-8520, if
you have any questions about your visa status and other
transfer issues.
Online Classroom Behavior
As your instructor and as a student in this class, it is our
shared responsibility to develop and maintain a positive
learning environment for everyone. Your instructor takes this
responsibility very seriously and will inform members of the
class if their behavior makes it difficult for him/her to carry
out this task. As a fellow learner, you are asked to respect
the learning needs of your classmates and assist your
instructor achieve this critical goal. Do not make personal
comments about classmates in your messages.
Use of Camera and/or Recording Devices
As a student active in the learning community of this course,
it is your responsibility to be respectful of the learning
atmosphere in your classroom during the review. To show
respect of your fellow students and instructor, make sure
that your cell phone is off. Recorders however are
ALLOWED.
Instructor Requirements
As your Instructor, it is my
responsibility to:
• Provide the grading scale and detailed grading formula
explaining how student grades are to be derived
• Facilitate an effective learning environment through class
activities, discussions, and lectures
• Description of any special projects or assignments
• Inform students of policies such as attendance, withdrawal,
tardiness and make up
• Provide the course outline and class calendar which will
include a description of any special projects or
assignments
• Arrange to meet with individual students before and after
class as required To be successful in this class, it is
the student’s responsibility to:
• Check in to the online class and participate in class
discussions and activities. Read all links to know what each
provides. Pay attention to announcements.
• Read and comprehend the textbook.
• Complete the required assignments and exams. Check
your grades often:
• Ask for help when there is a question.
• Keep copies of all paperwork, including this syllabus,
handouts and all assignments.
Grading
HCCS Grading Scale 90-100 =A
80- 89 =B
70- 79 =C
60- 69 =D Below60= F
EGLS3 -- Evaluation for Greater Learning Student
Survey System
At Houston Community College, professors believe that
thoughtful student feedback is necessary to improve
teaching and learning. During a designated time, you will be
asked to answer a short online survey of research-based
questions related to instruction. The anonymous results of
the survey will be made available to your professors and
division chairs for continual improvement of instruction. Look
for the survey as part of the Houston Community College
Student System online near the end of the term.