PS 101 - Introduction to General Psychology (Spring '97)
PS 217 - Introduction to Statistics I (Fall '08)
ID 151-03 - Psych in the Courtroom Seminar (Spring '07)
PS 306 - Experimental Psychology (Spring '08)
PS 325 - Perception (Fall '07)
PS 318 - Statistics II (Fall '07)
SS 100-036 - Perception and Reality (Fall '08)
Hello, and welcome to your first psychology course at Skidmore. I hope that you had an enjoyable break and that you've returned to campus ready to learn. As you might expect, given my choice of profession, I enjoy both psychology and teaching. I will be working hard to make each lecture both enjoyable and educational. Certainly, I feel justified in expecting you to work hard also. Although I will not take daily attendance throughout the term, I will come to know each of you, and I will notice your absence. Please try to attend every class, and to come to each class prepared (i.e., read in preparation for class).
Because we are searching for new faculty this semester, we will have a few guest lecturers throughout the semester. You are totally responsible for the information conveyed in the guest lecture (on exams), but I'm particularly interested in your impression of that person as a teacher.
I have several goals in mind as I teach this class: 1) to provide you with a broad overview of the discipline of psychology, 2) to give you an insight into the way in which a psychologist views the world, 3) to excite you about the field of psychology so that you would want to take other courses in psychology, and possibly pursue a career in psychology, and 4) to make your learning experience as pleasant as possible. To give you sufficient breadth, we will be working through most of Matlin's Psychology text. I think that students find most of the material covered in this class to be intrinsically interesting, so I hope that you find that to be true for yourself.
There will be three non-cumulative exams (2/21, 3/21, and during finals week). Each exam will be worth 30%, and will be composed of multiple choice, short answer, and a few essay questions. Although the questions will focus on material covered in lectures, you are responsible for all the relevant material in the textbook.
There will also be a paper worth 10% of your final grade. If your total percentage is 95% or above, you will have earned an A, 90-95% is an A-, 87-90% is a B+, 83-87% is a B, 80-83% is a B-, etc. If you learn that you will have to miss an exam or the paper deadline due to a serious problem, please let me know as far in advance as possible. With appropriate documentation, I will let you turn a paper in late without penalty, or will reschedule a missed exam for a day during the final exam week. Cheating on exams, plagiarism of papers, etc. is totally unthinkable (right?).
On the next page is a schedule of the approximate dates on which we will cover topics in class. I would encourage you to try to read the material appropriate for a particular day before that class meeting. That way you will already have a framework for processing the material covered that day, which should make the material easier to remember. It will also make it easier for you to ask questions in class, to clarify the material you read but did not understand. I always encourage classroom participation, so feel free to ask questions during class. In a class lecture, I will typically cover only a subset of the topics in a given chapter, but will go into greater depth than the text provides. For that reason, your class notes will be very important for exams. However, you will be responsible for all the material in each chapter we cover, although exams will tend to emphasize the material covered in class.
I'm really looking forward to teaching this class, and hope that you are looking forward to taking it. If you have any questions, complaints, etc., please feel free to drop by my office and discuss them with me. Let's have a good term together...
1/22 Introductory stuff...what the course will be like [Read Ch 1 for background ASAP]
1/24 Drooling dogs & Skating chickens: Classical and Operant Conditioning (Film) [Ch 6]
1/27 Lecture and discussion on conditioning {Thought question: Can humans be conditioned?}
1/29 Boxes in the Brain?: Human Information processing [Ch 7]
2/3 Palaces of Memory: Full (Mnemonic devices) and Empty (Forgetting and Memory loss)
2/5 More on (not moron) memory and cognition
2/7 Patricia Colby visits, gives talk
2/10 Vicki Garlock visits, gives talk
2/12 Memory and cognition redux
2/14 Cogito ergo sum...I think, therefore I am (I think) [Ch 8]
2/17 Just how smart are you? [Ch 14 up to p. 469]
2/19 Consciousness and altered states: Toto, we're not in Kansas anymore! [Ch 5]
2/21 Zzzzz: Sleeping and dreaming
2/24 Exam 1
2/26 Vision, how do we see? [Ch 4 up to p. 120 with some of Ch 3]
2/28 Depth perception and illusions
3/3 Color vision and visual organization
3/5 Physical development and development of perception [Ch 10]
3/7 Cognitive development: Learning to think, and learning what you know
3/10 Language and language development [Ch 9] (Paul Scott lectures)
3/12 Development of gender roles: How do we treat boys and girls?
3/14 Motivation: Why do you do what you do to me? [Ch 12]
3/17 Emotions: What makes us angry, sad, happy, etc.?
3/19 Catch-up day
3/21 Exam 2
3/31 Personalities and their measurement [Ch 13 and Ch 14 p. 469ff]
4/2 The good Dr. Freud and all those naughty little children
4/4 Sorted nuts, putting mental illness in its place [Ch 15]
4/7 Catch-up day
4/9 Focus on schizophrenia and depression (fun times!!)
4/11 No class - Eastern Psychological Association meetings in Washington, DC
4/14 STRESSSSS!! and coping with health psychology [Ch 15]
4/16 Helping the mentally ill, therapies that can help [Ch 16]
4/18 More issues in therapy
4/21 Humans as social animals [Ch 17]
4/23 Prejudice and altruism [Ch 18]
4/25 Just DO it! Conformity, compliance, and obedience
4/28 Wrap up and review
Hugh's Office Hours: Posted on office door (TLC 101)
According
to J.B.S. Haldane, "the world will not perish for lack of wonders
but for lack of wonder." Or, as Jennifer Ackerman paraphrased St.
Augustine, "we go forth to wonder at the heights of mountains and
the courses of the stars, yet pass by the miracle of our own inner
lives without wondering." Thus, a course about how to study human
beings should be an invitation to wonder.
Welcome back
from your winter break! I hope that you've returned to campus energized and ready
for the challenges of this new semester. This informational packet is intended
to provide you with a clear orientation to the course--its content, goals, evaluation
process, etc. It's a course that I very much enjoy teaching and I hope that some
of my enjoyment is contagious. I also hope that you come to see the course as
a valuable experience and an important contribution to your development within
the discipline of psychology.
PREREQUISITE
PLEASE NOTE THAT PS 217 (STATS) IS A PREREQUISITE FOR THIS COURSE. IF YOU ARE REGISTERED FOR THIS COURSE AND YOU HAVE NOT SUCCESSFULLY PASSED STATS, YOU NEED TO DROP THE COURSE! This is also a QR2 course, so you must have passed QR1.
Course content and goals
My goal in this course is to explore and to understand the methods of science, and, in particular, how science is done in the field of psychology. This course will introduce you to some of the common methods for doing research in psychology. This process involves learning about various research methodologies, their strengths and weaknesses, and the ways they are used to address questions. The course will also provide you with material on theories and recent research findings in various areas of psychology that involve the use of these research methodologies. By the semester's end, not only will you learn a great deal about research methodologies and their applications and a great deal about how to begin to conduct research but I hope that you will also become more sensitized to the ways in which you think about and read about others' research (e.g., asking questions about the basis of conclusions, implications beyond the lab, etc.).
Four important objectives guide our work in this course:
1. Learning how to evaluate research and research claims
You will gain the ability to look critically at other people's research reports and determine whether their conclusions are correct. (For example, how might you decide if it is correct to claim that left-handed individuals are at a psychological disadvantage compared to right-handed individuals?) This ability for critical analysis and evaluation is useful in many situations including when you read scientific papers, when you read newspapers claiming to review scientific work, or when you listen to what your friends and instructors have to say about some topic.
2. Learning about important topics & controversies in psychology
You will also learn about specific examples of recent research in psychology and neuroscience. This objective of the course should give you a good feeling for the difficulties that we encounter when asking particular kinds of psychological questions and provide you with knowledge about specific areas of psychological research. In the process, you will also grapple with some of the controversies associated with doing these kinds of research.
3. Setting up, proposing and conducting research
This course will enhance your ability to form a scientifically testable question about a psychological process and to implement the test of that question. This aspect of the course involves learning about formal research methods used in the design and implementation of research. In the lab section of this course, you will experience many different aspects of the research enterprise and actually help design and carry out several collaborative research projects that use some of the designs and methodologies upon which the lecture portion of the course will have focused. By the end of the semester, your understanding of these designs and methodological issues, and your experience in the research laboratory, will help you to think critically and communicate clearly about psychological research. This experience will therefore serve as a foundation for future research and laboratory courses in psychology and other science courses. Although some students are convinced that they won't like doing research (or may feel intimated by the prospects), we hope by "rolling up your sleeves" and diving into the research experience, you will discover what a fun and fascinating endeavor it can be! Perhaps best of all, the course should also enhance your ability to think scientifically when addressing psychological problems in everyday life (and we will discuss why you should care about that).
4. Reporting research and evaluating written reports--yours and others
You will learn more about the process of scientific writing by way of your own written work and your critique of others' written work. One of the best ways to sensitize ourselves to the writing process is to read one another's work, noticing authors' different approaches to the same goals. You will learn to write formal research reports--or learn to write better ones if you have some experience along these lines. In your role as reviewer of your fellow students' work (as well as the work of other researchers), your own writing skills should be enhanced. As in previous years, you will have the opportunity to revise some of your written work. However, the feedback will now be more extensive, coming from us and other members of the class.
These writing experiences are invaluable if you plan to pursue graduate work in psychology (or any other science). However, even if you don't have those kinds of plans right now, these writing experiences should enhance your ability to express yourself in written form in more cogent and persuasive ways. Enhancing your ability to express yourself, particularly when trying to describe a phenomenon objectively, is a valuable tool no matter what your future plans.
EVALUATIONThe lecture and lab portions of the course will each count as 50% of your grade. The lecture portion of the course will be evaluated by two in-class exams (see lecture plan), each worth 15% of your grade, and a final exam, worth 20% of your grade. The final exam is cumulative. If you miss an exam, notify me as early as possible and provide documentation for the basis of your absence. If your reason for missing the exam is an acceptable one, a make-up exam will be scheduled during the final exam period--no exceptions!! I have placed old exams on the web to give you a sense of what to expect.
Because I believe that practice is imperative to improving one's writing, you will submit several APA-style papers. Although most lab projects will be completed in small groups (because we are dependent on one another for data collection), each individual in the course will submit his or her own lab report and proposal. The lab portion of the course will be evaluated by three lab reports, one research proposal, and critiques of papers written by your fellow students. The guidelines for your research proposal (i.e., parts to include) will follow later in the semester. Some preliminary information about these writing assignments is provided with the lab plan. I will provide more detailed guidance about each writing assignment throughout the semester. But, in brief, here is a summary: Lab 1 (5% points), Labs 2 and 3 (each 10% points), Research Proposal (20%), and Critiques (5%).
I am convinced that that criticizing the work of your peers is another way to improve our writing skills. In my work as an author and reviewer (of manuscripts as well as student papers), I have come to appreciate how much one can learn about the process of writing by the careful review of others' work. Thus, I hope that your fellow students will profit from your feedback (as well as mine), but, in your role as reviewer, I expect that reading alternative ways to approach labs will also influence how you approach your own writing assignments. I will provide you with guidelines in your work as a reviewer. Last, but not least, part of effective writing involves learning how to respond to feedback--deciding what suggestions to incorporate and how to incorporate them into a revised paper. Assuming that your versions of Lab 2 and Lab 3 are completed on time, you will have the option to revise one of them (your choice), incorporating suggestions for revision in whatever way seems appropriate to you. If you decide to revise either Lab 2 or 3, your grade for the revised lab will be the average of the original grade and the grade on the revised version. By giving this special attention to the writing of labs and the proposal, my goal is to strengthen your writing and critical thinking skills.
Because it is important to provide authors with feedback while they still remember what they wrote (if only vaguely), we need to return labs with our comments relatively soon after the labs are due. Your feedback will be due approximately one week after each lab is due, and I’ll return my feedback and yours to the author of a lab within about two weeks of completing the lab. If you turn a lab in late, or if you are late with your critique, your grade will be negatively affected. If your own lab is late, you will lose a point on your lab for each day that it is late, and you will not be able to participate as a reviewer (reducing your percentage points for the critiques). If your own lab is turned in on time, but you are late with your critique, only your critique % points will be affected. The feedback for the proposal drafts will be due before the proposals are due so that you can incorporate the feedback into your final version before the end of the semester. The lab plan provides more detail about due dates, etc. If you miss the lab meeting when this feedback occurs, you will not have the option to obtain feedback (and your % allocated to work on critiques will be negatively affected). If you choose to revise either Lab 2 or Lab 3, the revised version (along with both copies of the earlier version plus our comments) is due no later than the last study day. Finally, all labs must be completed in order to receive a passing grade for the course.
REQUIRED READINGS
Required textbook for Lecture and Lab
Ray, W. J. (2006, 8th edition). Methods: Toward a science of behavior and experience .
Readings
Some of the readings are listed below, but others will be added later in the term as each lab is developed. A few readings are distributed in lecture as part of some exercises about research methods. Otherwise, the readings are over the web.
Fine, M. A., & Kurdek, L. A. (1993). Reflections on determining authorship credit and authorship order on faculty-student collaborations. American Psychologist, 48 , 1141-1147.
Mook, D. G. (1983). In defense of external invalidity. American Psychologist , 38 , 379-387.
Ross, L., Lepper,
M. R., & Hubbard, M. (1975). Perseverance
in self-perception and social perception: Biased attributional
processes in the debriefing paradigm. Journal of Personality
and Social Psychology, 32 , 880-892.
Your attendance in lecture and lab is very important for the success of the course. Although attendance is not reflected directly in your final grade, keep in mind that there is a lot of evidence suggesting the value of attending the lecture and lab part of the course. I expect to work very hard in this course and I look forward to the discussions that will unfold during our conversations in and out of lecture and lab meeting times. I also take your presence and your contributions very seriously and value them as well. I expect that you will also work hard and I hope that you will learn a lot about doing and interpreting psychological research. However, if you do not participate in the lecture and lab sessions (and you can't if you aren't here), then don't expect help immediately before exam or lab due dates. Also, if you do not attend lecture and lab regularly, then you cannot expect me to "teach" or "review" a particular lecture or lab meeting during office hours. Last but not least, if you need to miss a lab for a very important reason (e.g., observance of a religious holy day, scheduled sports event in which you are a key player, etc.), let me know ahead of time.
Acknowledging and Respecting One AnotherI also expect that we will all be considerate of each another. You can expect me to respect you and what you have to say. At the same time, we all need to show respect for one another in both verbal and non-verbal behavior.
Routinely coming late to lecture or lab meetings or leaving during class is rude and disruptive. This behavior certainly distracts me, and I know that the behavior distracts other members of the lecture and lab sessions. So please avoid rude behaviors. If I have to call our collective attention to these rude behaviors, I will do so, but I hope that you will not behave in ways that require us to talk about this failure to acknowledge the presence and needs of others. I also understand that there are rare occasions when any one of us might be running late. When caught in such a bind, I would rather have you come to the lecture or lab (even though you are late). However, we all know the difference between rare and habitual. I am commenting here on the habitual behaviors that are not welcomed in this course. If medical complications require that you leave during class, then please be courteous and sit in the back near the door.
Last but not least, turn off all cell phones for the duration of lecture or lab meetings. I don't mean that you should set your cell phone to vibrate. I mean turn it off and put it away from view! You should have no reason to look at your cell phone during a class or lab. Thanks for your consideration.
I expect that you will abide by Skidmore’s Honor Code as described in your Student Handbook or in the Academic Information Guide.
Lecture Schedule
| Date | Topic |
Readings |
1/23 |
Introduction, Psychologists' ways of knowing (video) |
R1, R4, R11(253-258) |
1/28 |
Causal vs. correlational hypotheses, correlational designs |
R2, R11(251-253) |
1/30 |
Looking for relationships (statistical that is!) |
|
2/4 |
Null Hypothesis Significance Testing, Type I vs. Type II Errors |
R6(128-137), R7 |
2/6 |
The logic of experimental design, operational definitions |
R3, R5 |
2/11 |
External validity and experiments, Internal validity |
Mook |
2/13 |
Two or more conditions, independent random groups ANOVA |
|
2/18 |
More on ANOVA, Post hoc tests |
|
2/20 |
Two or more conditions, repeated measures ANOVA |
R9 |
2/25 |
More on repeated measures ANOVA |
|
2/27 |
Exam 1 |
|
3/3 |
More than two independent variables (factorial designs) |
R8 |
3/5 |
More on two-factor designs |
|
3/17 |
Interpreting interactions and post hoc analyses |
|
3/19 |
Two repeated factors and mixed-model designs |
|
3/24 |
Review of multi-factor designs |
|
3/26 |
Those confounded experiments! |
R6(138-142) |
3/31 |
More on detecting confounds and avoiding them in designs |
|
| 4/2 | Exam 2 | |
4/7 |
Ethics in research--Knights in tarnished armor |
|
4/9 |
More on ethics in research |
|
4/14 |
Concerns about participants' rights, deception |
R14, Ross et al. |
4/16 |
Ethics and authorship considerations |
Fine & Kurdek |
4/21 |
Ethics |
|
4/23 |
The ecology of the experiment--focus on the experimenter |
R10 |
4/28 |
The ecology of the experiment--focus on the participant | |
5/8 |
Final Exam (1:30 - 4:30) |
R = Ray
Lab Schedule
Week |
Tuesday |
Friday |
#1 |
1/22 Introductory session |
|
#2 |
1/29 Set up for Lab 1: Bring calculator |
|
#3 |
2/5 APA style, Writing Lab 1 |
|
#4 |
2/12 Set up for Lab 2 |
2/15 Two copies of Lab 1 are due |
#5 |
2/19 In-class peer review of Lab 1 Discuss Proposal |
2/20 (Wednesday) Lab 2 data due |
#6 |
2/26 Writing Lab 2 |
|
#7 |
3/4 Research Design |
3/7 Two copies of Lab 2 are due |
#8 |
3/11 Spring Break! |
|
#9 |
3/18 Set up for Lab 3 Receive peer's Lab 2 to review (3/20) |
|
#10 |
3/25 Discuss Proposal
Review of peer's Lab 2 is due (3/24) |
3/26 (Wednesday) Lab 3 data due
|
#11 |
4/1 - April Fool's Day!! Writing Lab 3 |
|
#12 |
4/8 Topic to be announced.
|
4/11 Two copies of Lab 3 are due |
#13 |
4/15 Topic to be announced. Receive peer's Lab 3 to review (4/14) |
|
#14 |
4/22 Two copies of proposal draft are due Peer review of proposal drafts in lab Review of peer's Lab 3 is due (4/21) |
|
#15 |
4/29 No lab meeting. |
5/2 Proposal is due Re-write of Lab 2/3 is due |
Data Submission
The success of the class depends on each student for data collection (if we have no data, there is nothing to analyze!). Therefore it is important that the date for lab be turned in by the date specified above. Because we are so interdependent in terms of these data, there is a one-point penalty on the lab for any data not submitted on time.
Where to submit data, labs, and proposalData,
lab reports, and your proposal should be placed in HF's
mailbox in
the Psychology Department on the dates specified above.
When planning to work on the labs, keep in mind that muses don't come to us (at least not in this course)!! Sitting and waiting for inspiration about writing a lab will not work. Write, scribble if you must, and write some more. Clear thinking and clear writing take time. But they also take writing!! So avoid reading the papers for the labs only once, the night before the lab is due. If you read them well in advance, giving yourself time to look at them again, and let the information "perk" or "bubble" in your psyche (even while you think about other ideas), you will be amazed at how much better you will do. It is rarely the case that the first draft of any paper is a good version; our advice to you is to try to write the lab and leave it for at least a day, returning to it to see if even you know what you meant by what you wrote. Think of the writing as an act of writing/revising/transforming and finalizing.
Sharing, collaborating and cryptoamnesiaWe encourage cooperation and collaboration among all of us because this exchange can be a place where significant learning occurs. That means you should freely talk about the labs, and share research articles if you find some that would be of great interest to a friend or someone in the class you don't even know very well. There is too much to do in the course, and in psychology for that matter, for us to be selfish with our insights or discoveries. At the same time, it is extremely important that you avoid writing together (literally, that is). All too often, one lab "emerges" from that interaction of writing together and we are left with a complicated situation. When you write, write alone! Cryptoamnesia is a term we memory researchers use for a "problem" that involves a special kind of plagiarism. That is, inadvertently forgetting the source of information (e.g., writing about something as if it was your own idea). This can happen all too easily if you write in the presence of another person who is writing the same kind of assignment. Of course, more damning forms of plagiarism exist and we needn't describe them; you know them as well as I do. The solution is to write alone and avoid all forms of plagiarism, accidental or otherwise. Collaborative efforts are encouraged but collaborative writing (or stealing, for that matter) is not. Each of you assigns your own name and not any collaborators to your labs.
Establishing AuthorshipAny ideas that are not your own should be identified as such (e.g., provide credit to someone else when credit is due him or her). When quoting a source directly, use quotations, cite the author, the year he or she said or wrote, and the specific page on which the verbatim text can be found. In addition, list the complete reference--APA Style--in the reference section of you paper (even if the reading is not assigned). When paraphrasing someone else's words or citing his or her research, you are also obliged to credit him or her for those ideas or research findings, and to list his or her article in the reference section of you paper. Most important, AVOID direct quotes--typically when we force ourselves to make a point in our own words, even if paraphrased, we come to understand better those points we want to make.
Evaluating Labs and ProposalThe lab reports will be assessed for both content and structure. It is nearly impossible to overemphasize the importance of revising; please do not turn in your first drafts! Revising and rewriting and revising again are a vital part of the writing process. All labs and the proposal must be typed and must follow APA Guidelines (you'll get lots of info about those guidelines). When typos get to be distracting, the reader doesn't focus on the content of the paper. So proof your papers; when distraction starts, the grade on the lab will be negatively affected. More specific details about grading policy and criteria will follow later in the term.
Some guidelines for preparing labs
"Procrastination is bad for your health"
We are happy to invest time and energy helping you with your thinking and writing of the labs. Keep in mind, though, if you do not attend the labs, you cannot expect us to spend a great deal of time helping you catch up during office hours. The course is stressful enough without adding extra burdens to your life (like falling behind or missing labs). So, avoid leaving things to the last minute. Here are some reminders of the "parts" that are due for each lab. More information will follow as we work on each lab.
Lab 1--two copies 1. I'll answer questions but not look at any drafts (to see how you do on your own). 2. First lab worth 5% points Parts: Title Page, Purpose paragraph, Method, Results, Discussion paragraph (very brief -- what you think the results might mean and what might be interesting to do next), Reference page. Although you will receive feedback on the complete lab, the purpose paragraph and short discussion do not affect the grade for Lab 1. |
Lab 2--two copies 1. Second lab worth 10% points Parts: Title Page, Abstract, Introduction, Method, Results, Discussion (what you can conclude, connect your results to the literature, which means that you need to mention at least two sources, and then close with some indication of what might be interesting to do next), Reference page, Table(s). 2. Evaluation of feedback--contributes to the 5% points for additional writing. Your review of fellow student’s paper is due one week after you receive the paper. |
Lab 3--two copies 1. Third lab worth 10% points Parts: Title Page, Abstract, Introduction, Method, Results, Discussion, Reference page, Table(s) or Figure(s) (if include figures, need fig cap page). 2. Evaluation feedback--contributes to the 5% points for additional writing. Your review of fellow student's paper is due one week after you receive the paper. |
Research Proposal--one copy of final version 1. Topic and working bibliography need approval (see dates on syllabus). Working bibliography must include at least 5 of the final set of 10 sources that will be included in your paper. These sources must be drawn from peer-reviewed journals. Guidelines about these criteria will be discussed in lab. 2. Drafts due before deadline--two copies at the beginning of lab meeting (see lab plan for date) 3. Final version worth 20% points Parts: Title Page, Introduction, Method, Predicted Results (including kind of stats you would calculate if you had the data). Again, more details will follow later in the semester, but this last section of text should include comments about what you expect to find and why (drawing on the literature that you read), comments on the opposite of what you expect and what that would mean, and any concerns you have about possible design flaws. Additional sections to include in the proposal itself include References (required), Tables(s) and/or Figure(s), optional. You should also attach a complete version of the Form for the Participant Review Board (or alternative form if you are proposing a study involving non human subjects), Consent Form, and Debriefing Statement. Details will follow much later in the term. |
Laboratory Materials
Course Materials
Welcome back from your summer break. Most of you are students I have yet to teach, so it will be a pleasure to come to know you. I hope that you're looking forward to the course. It's one of my favorite courses to teach...as you'll be able to tell, I'm always happy when I'm talking or thinking about perceptual topics. And for the past year I've been working to revise the textbook, so I plan to provide you with some interesting updates to the material in the current version of the text. I do hope that you come to enjoy both the classroom and laboratory portions of the course.
Orientation. I am a psychologist, and so I will teach you about the senses from a psychologist's perspective. However, it is impossible to discuss the senses fully without some discussion of their anatomy and physiology. Be forewarned that for some of the class we will be discussing material that will seem very biological to you. If you anticipate that such an orientation will be a major problem for you (which excludes the NS folks), you might want to consider taking a different course. Perception is one of the few areas of psychology where researchers have some clear ideas of the underlying neurophysiological processes and I would be doing you a disservice if I didn't explore some of these findings.
Comportment. The bottom line here is respect for one another and for the educational process. Please come to class on time and I'll try to do so as well. When you're in class, please try to remain for the entire class. In the event of an emergency, I'll understand your need to leave the class before it ends, but emergencies are not routine occurrences. Please be sure that your cell phones, pagers, etc., are turned off (not simply set to vibrate). Thus, you should have no need to look at your cell phone for the duration of the class.
Grading. There
will be two non-cumulative exams (10/29 and 12/20 during the final
exam period), each worth 28% of your final grade. Exams will be a
mix of multiple choice, short answer, and essay questions, and I
will provide you with representative essay questions in advance of
each exam. I believe that it's really important for you to be actively
involved in the learning process, which is why classroom participation
and the laboratory component (worth 15%) are both important. Quizzes
will determine 29% of your grade. If your total percentage is 95%
or higher, you’ve earned an A, 90-95% is an A-, 87-90% is a B+, 83-87%
is a B, 80-83% is a B-, etc. Needless to say, the Skidmore Honor
Code is in effect for this class.
Note that
lecture attendance will not represent a specific portion of your grade. I hope
to make the lectures as stimulating as possible, so if I'm successful you should
want to come to each class. Certainly, a fair amount of material that is presented
in lectures will not be in the textbook. I am relying on you to be a serious
student and to miss a class only rarely, if ever. I will certainly be sensitive
to your absence. If you find out that you must miss an exam, please let me
know as soon as possible. Of course, your reason must be a good one, and appropriate
documentation is required. I will schedule a make-up for the first exam,
if necessary, during final exam week. If for any reason you
miss a quiz, you cannot make up the quiz--it will be one of your dropped quiz
grades.
You are
responsible for completing all the laboratories. I expect you to attend every
lab, but if you must miss a lab (again for a good reason), you will need to
complete the lab on your own and turn in the lab handout.
Schedule. Attached is a brief description of the topics we will be covering, and an approximate date on which the material will be covered.
Date |
Topic |
Quiz |
9/5 |
Introductory comments [Ch 1]; Anatomy of the Eye [Ch 3] |
|
9/10 |
Visual Anatomy: Retina and Brain |
|
9/12 |
Lab 1: Anatomy of the Eye | |
9/12 |
Visual Anatomy: Brain |
|
9/17 |
Basic Visual Functions [Ch 4] |
Quiz 1 |
9/19 |
Lab 2: The Visual Pathways |
|
9/19 |
Basic Visual Functions |
|
9/24 |
Visual Pattern Perception [Ch 5] |
|
9/26 |
Lab 3: Basic Visual Functions | |
9/26 |
Visual Pattern Perception |
Quiz 2 |
10/1 |
Visual Pattern Perception |
|
10/3 |
Lab 4: Object Perception |
|
10/3 |
Distance and Size Perception [Ch 6] |
|
10/8 |
Distance and Size Perception |
Quiz 3 |
10/10 |
Lab 5: Distance Perception |
|
10/10 |
Color Perception [Ch 7] |
|
10/15 |
Color Perception |
|
10/17 |
Lab 6: Color Perception |
|
10/17 |
Motion Perception [Ch 8] |
|
10/22 |
Fechner Day—Motion Perception |
Quiz 4 |
10/24 |
Motion Perception |
|
10/24 |
No Lab |
|
10/29 |
EXAM 1 |
|
10/31 |
Methodology in perception [Ch 2] |
|
10/31 |
No Lab |
|
11/5 |
More perceptual methodology |
|
11/7 |
Signal Detection Theory |
Quiz 5 |
11/7 |
Lab 7: Psychophysics |
|
11/12 |
The Auditory System [Ch 9] |
|
11/14 |
Basic Auditory Functions [Ch 10] |
|
11/14 |
Lab 8: Auditory Anatomy and Physiology, Basic Auditory Functions |
|
11/19 |
Basic Auditory Functions |
Quiz 6 |
11/26 |
Auditory Pattern Perception [Ch 11] |
|
11/28 |
Auditory Pattern Perception |
|
11/28 |
Lab to be Determined |
|
12/3 |
Auditory Pattern Perception |
Quiz 7 |
12/5 |
Auditory Pattern Perception |
|
12/5 |
Lab 9: Auditory Pattern Perception |
|
12/10 |
Some other sense(s) |
|
12/12 |
Some other sense(s) |
Quiz 8 |
12/12 |
No Lab |
|
12/20 |
EXAM 2 (9:00 – 12:00) |
Hello! Welcome back from your summer break. I'm sure that you've gotten sufficient advance warning about this course to know that it's definitely a difficult one--certainly the most difficult course I teach. The material is extremely challenging, but the students who choose to take this course are usually up to the challenge. Thus, you should experience the rewards that go along with mastering a difficult topic. I will do everything in my power to ensure that if you want to learn the material, you will do so. First of all, ask lots of questions in class. If you don't understand something, just ask and I'll try to explain. As usual, we have the luxury of a relatively small class, so let's take advantage of that situation.
Although you will not all decide to go on to graduate school in psychology, the course is designed to bridge the gap between the statistics/design sequence at most undergraduate institutions such as Skidmore and the statistics courses found in most graduate programs. The graduate-level statistics courses are often the undoing of otherwise fine graduate students, and I hope that this course will prepare you for such courses, should you opt to go to graduate school. We use a text (Keppel & Wickens: Design & Analysis) that is used in many graduate programs, and we will cover most of the text in this term. There are enough technical benefits of the course that I do believe that those of you who do not go on to graduate school will also profit from the course. For example, you will also come to learn how to use statistical packages (e.g., SPSS) for data analysis. You may be able to parlay knowledge of these packages into a job that involves data analysis.
My Expectations
I've had many of you as students in class before, but let me attempt to provide a fairly clear sense of my expectations for all of you. The clearest statement of my expectations is that I fully expect that you are taking the course to learn as much as you can about statistical analysis. As a corollary of that expectation, I expect you to attend every class and every lab. Of course, in the event of a legitimate problem, I also trust your judgment about attendance. I expect you to respect what we're hoping to accomplish in the class by arriving on time, staying for the entire class period, turning off cell phones (not merely setting them to vibrate), listening attentively to class discussions, etc.
Goals of the Course/ Assessment
This course presents a trees/forest kind of problem for many students. We will be analyzing data (numbers) using a variety of statistical techniques and computer programs--most of which will be novel to you. It's easy to focus on all those numbers (and novel procedures) and lose sight of the fact that the course is primarily about concepts. Below I've listed the primary concepts and procedures that you will master in the course. In most cases, I'll be able to assess your mastery through homework assignments and exams. I'll also be able to gain a sense of your level of understanding via classroom discussions (which will be frequent).
Topic |
Assessment |
Underlying statistical/design concepts (Review) |
HW1, Exam 1 |
Logic of Null Hypothesis Significance Testing (and criticisms) |
Discussion, readings |
Single Factor Independent Groups Designs |
HW1, Exam1 |
Analytical comparisons and post hoc analyses |
HW1, Exam1 |
Heterogeneity of Variance |
HW1, Exam1 |
Estimating Effect Size and Power (determining sample size) |
HW1, Exam1, Discussion |
Two Factor Independent Groups Designs |
HW2, Exam1 |
Heterogeneity of Variance |
HW2, Exam1 |
Interpreting Interactions and Main Effects |
HW2, Exam1 |
Repeated Measures Designs |
HW3, Exam2 |
Single-factor designs |
HW3, Exam2 |
Two-factor designs |
HW3, Exam2 |
Mixed designs |
HW3, Exam2 |
Three-Factor Designs |
HW4, Exam2 |
Independent Groups |
HW4, Exam2 |
Repeated Measures |
HW4, Exam2 |
Mixed Designs |
HW4, Exam2 |
Schedule
Here's a rough idea of the order in which we will cover the material. It is crucial that you read the chapters in the text--and by that I mean an active reading that involves working through the problems in the chapters. I really think that it will help if you work through the chapters (that is, read and do problems) prior to the classroom discussion of the material, but do what seems to work best for you. I will provide you with my notes for each chapter. However, you will need to read each chapter in its entirety in addition to reading the notes, completing homework assignments, etc. If you don't understand something you read, you should raise the question during class.
Date(s) |
Topic(s) |
9/6, 9/11 |
Chs. 1, 2, & 3--Background |
9/13, 9/18 |
Continuing Chs 1, 2, & 3--Single Factor Independent Groups Designs |
9/13 Lab |
One-Way ANOVA |
9/20 |
Ch 4--Analytical comparisons |
9/20 Lab |
Comparisons |
9/25, 9/27 |
Ch 6--Simultaneous Comparisons and Post-Hoc Tests |
9/27 Lab |
Simultaneous Comparisons |
10/2, 10/4 |
Chs 7 & 8--Linear model and assumptions; Effect Size and Power |
10/4 Lab |
Brown-Forsythe, Treatment Effect & Power |
10/9, 10/11 |
Chs 10 & 11--Two Factor Independent Groups Designs |
10/11 Lab |
Two-Way Independent Groups ANOVA |
10/16, 10/18, 10/23, 10/25 |
Chs 12 & 13--Two Factor Independent Groups Designs, Post Hocs |
10/18 Lab |
Interactions 1 |
10/25 Lab |
Interactions 2 |
10/30, 11/1 |
Chs 16 & 17--Repeated Measures Designs |
11/1 Lab |
Repeated Measures ANOVA |
11/6, 11/8 |
Ch 18--Two-factor Repeated Measures Design |
11/8 Lab |
Two-Way Repeated Measures ANOVA |
11/13, 11/15,11/20 |
Chs 19 & 20--Mixed Design ANOVA |
11/15 Lab |
Two-Way Mixed Design ANOVA |
11/27, 11/29, 12/4, 12/6, 12/11 |
Chs 21, 22 & 23--Three Factor Designs |
11/29 Lab |
Three-Way Independent Groups ANOVA |
12/6 Lab |
Three-Way Mixed Groups ANOVA |
The course requires you to (1) read the chapters assigned in the textbook, (2) read several articles assigned for additional reading, (3) complete several homework assignments, (4) complete two take-home exams. (You should expect the exams and the homework to take a lot of time to complete.) I expect you to average a minimum of 10 hours/week of work (outside of class time) on this course. Ultimately, if you've completed all the assignments and gotten my feedback, I will ask you to assign your own grade, with the presumption that no one who does all the work will receive a grade lower than C (the grad school F).
In general, when I think of grades, this is what I have in mind:
|
|
|
|
A |
Excellent work, representing your estimate of the best work you imagine students are capable of producing. |
|
A- |
Excellent work, with only minor imperfections. The work represents a level of performance achieved by only a small percentage of students. |
|
B+ |
Very good work -- much better than typical performance, resulting from greater effort than a student typically expends. |
|
B |
Very good work -- somewhat better than typical performance. |
|
B- |
Good work. With grade inflation, a B- now represents an average job. |
|
C+ |
Good work, but slightly less quality than one would expect from a serious effort. |
|
C |
Acceptable work, but weak in several respects (effort, success, etc.) |
|
C- |
Barely acceptable work, with glaring weaknesses. |
|
D |
Poor work that typically results from poor effort or poor comprehension. |
|
F |
Unacceptable work. |
Obviously, graduate school grades (A-C) truncate this range quite a bit. I don't think that using the truncated range is unreasonable, given the high quality of the students who tend to take this course.
You should not give yourself an "A" in the course unless you have completed all assignments and mastered the material. That means you must have carefully read all of the material in Keppel & Wickens (Chs 1, 2, 3, 4, 6, 7, 8, 10, 11, 12, 13, 16, 17, 18, 19, 20, 21, 22, 23) and any additional readings I've assigned. In addition, you must have completed all the homework given to you. Completion of the reading and "written" assignments is essential simply to receive a grade of C.
You should also understand all the material covered in the two take-home exams. You should have become competent in using the computer packages in computing all the analyses. In determining your grade, you should certainly think about how much you've learned (relative to other courses), how hard you've worked (relative to other courses), etc. The bottom line, of course, is mastery of the complex material we've been covering. If you feel that you've done all the work and mastered all the material, then you certainly deserve an A--so don't be bashful in asking for one. However, if you haven't done all the work or if you don't feel that you've mastered all the material, then you should choose a grade consistent with your effort and achievement.
The current roster is:
|
|
|
|
| Leanne Casale | lcasale@skidmore.edu |
|
| Aleena Hay |
a_hay@skidmore.edu |
|
| Cara Koch |
c_koch@skidmore.edu |
|
| Jerry Kudan |
jkudan@skidmore.edu |
|
| Sarah Pociask |
s_pocias@skidmore.edu |
|
|
Zachary Schoenholtz |
z_schoen@skidmore.edu |
|
| Abigail Sherman |
a1sherma@skidmore.edu | |
|
Jonathan Straus |
jstraus@skidmore.edu |
|
|
Lauren Vildostegui |
l_vildos@skidmore.edu |
|
|
Devin Zibulsky |
d_zibuls@skidmore.edu |
Welcome back from your summer break! I hope that you’ve returned rested and ready to tackle the courses you’re taking this semester. This particular course is often thought to be a challenging one, but I hope we can make it an enjoyable experience as well. We shall see...
My Expectations
First of all, let me be absolutely clear. I expect that you are here to learn statistics. I approach every course I teach with the expectation that every student in the course really wants to learn. You will find that I have all the patience in the world for someone who really wants to learn statistics. Conversely, you’ll find that I have little patience for someone who does not take her or his education seriously.
This is a relatively small class, and I will come to know all of you fairly quickly. I’m hoping that the class size will lead to a very interactive class. Please ask questions if you don’t understand something in class—in all likelihood you’re not the only one confused! Although I do not have a formal attendance policy for lecture, I fully expect you to attend every class. I guarantee you that coming to class will help make the material more understandable. I realize that I need not say so explicitly, nonetheless I expect you to adhere to the Skidmore Honor Code. And, of course, you should do nothing that would disrupt the class, so:
1. come to class on time
2. be prepared to sit through the entire class without leaving
the room
3. turn off cell phones (don’t simply set them to vibrate,
and never look at them during class)
4. don’t engage in disruptive (especially off-topic) interactions
with your fellow students
Heads Up!
This is not material that you can easily master in an hour or two of frantic study, so I encourage you to work at it steadily throughout the term. In an effort to ease the learning process, you will have plenty of opportunities for clarification through one-to-one or small group interactions. I have a sign-up sheet on my office door, indicating my office hours, and I encourage you to make use of me as a resource.
About the Course
As I’m sure you are already aware, Statistical Methods is quite different from other psychology courses you may have taken. It is a nuts-and-bolts course, where you will learn about the ways in which psychologists do research—especially how they analyze their data. In the methodology course (PS306), we focus on ways that psychologists learn about the world by generating data. In this course, you will learn how psychologists determine if any reliable patterns are found in their data. As you can tell, the courses are closely related, and this course is a prerequisite for the methodology course. One focus of PS217 is to prepare you for PS306. If you do well in this course, you should be ready to master the material in the methodology course. After taking this course, you should be better able to understand psychological research that you read and to analyze data that you might produce in your own research.
In the Lecture portion of the course, we will go over the statistical concepts and computations that are central to most psychologists’ research. You will need to read the relevant chapters in the textbook (Gravetter & Wallnau, Statistics for the Behavioral Sciences, 7th Ed.) to flesh out the classroom presentations. For the most part, you should find that class meetings are not at all passive. Though I’ll routinely present lectures about the material, you’ll typically be given sample problems to work through. It is vital that you take an active role in class, because doing so will ensure that you are mastering the material. In fact, when reading the textbook, you’ll also find problems interspersed through the chapters. Working on those problems will help you to understand the material as well.
In the Laboratory portion of the course, what happens will vary. I think of the labs as an opportunity to go over questions you might have about material we’re discussing in class, homework problems, etc. In addition, I’ll use the labs as opportunities to show you exactly how the statistics you’re learning might have applications in psychological research. You must attend every lab, unless you have a legitimate excuse. As is true for lecture attendance, labs will definitely help you to learn the material, which will have a positive impact on your performance in the course.
Computation
For homework assignments and quiz/exam questions requiring computation, it is essential for you to have a calculator. In fact, you should always bring your calculator to class and lab. You only need a calculator that performs simple arithmetic operations, including squaring and square roots. In addition, you will be computing statistics using a computer program called SPSS. I will be introducing you to the computers available in TLC 206 for completion of some assignments.