Accommodating Persons with Disabilities:Students with disabilities are encouraged to contact the instructor for a confidential discussion of their individual needs for academic accommodation. It is the policy of UNL to provide flexible and individualized accommodation to students with documented disabilities that may affect their ability to fully participate in course activities or to meet course requirements. To receive accommodation services, students must be registered with the Services for Students with Disabilities (SSD) office, 132 Canfield Administration, 472-3787 voice or TTY.Psychology 942 Cal Garbin 218/230 Burnett Fundamentals of Research Design & Data Analysis 2 472-3122/3721 486-4556Office hours (230 Burnett): [email protected] Materials: All course materials are available on-line at: http://psych.unl.edu/psycrs/index.htmlObjectives: The major intent of this course is, along with Psyc941, to prepare you to participate in collaborative research with faculty and other graduate students and to conduct your Master’s research project (or its equivalent). The topics for this course are chosen based on an ongoing review of recent Master’s Theses, the research being conducted by the faculty in your departments, and attention to both the “standards” and the “hot topics” in research design and statistics. Emphasis: With respect to design issues, special attention will be paid to the "rules of evidence" for the analysis of cause-and-effect relationships and the important differences between experimental, quasi-experimental, and concomitant measurement designs. With respect to data analytic issues, primary attention will be given to the family of least-squares techniques that includes analysis of variance, multiple linear regression and linear discriminant function analysis. Emphasis will be on the pragmatics of hypothesis testing, data analysis and the communication of findings, at a level that is more like “driver’s education” and less like “mechanical engineering.”Activities: How we will be spending our time this semester reflects the three “kinds of things” I want you to be able todo with these research/statistical techniques: 1) Be able to talk/write about them using either the proper jargon or “plain English” (assessed by the Short Answer portion of the quizzes and the final); 2) Be able to start with a research hypothesis or question and a data set and to complete and report an appropriate data analysis (assessed by the homework); and 3) Be able to “think on your feet” about the theory and application of these techniques (assessed by the Story Problem portion of the quizzes). Time and Effort: Most graduate courses in this department meet weekly. Because of the workload, this course has multiple weekly meetings in order to allow you to “spread out” the considerable amount of reading, studying and homework (this is intended as a kindness, honest). Don't thwart the system by procrastinating! Things you should be doing between class meetings include …1) review your notes and the handouts from the previous lecture- Determine what part of your notes relate to each of the study questions- Determine if there is anything you would like to have clarified- Identify difficulties early gives us more of a chance of painless remediation2) do the homework- The EDU exercises allow you to practice working with the language, techniques and procedures- The computational homework is your best chance to learn what you do and don't understand. Some are shorter, some longer, but all represent what you will do with real research data and most can be completed in 3-4 hours3) prepare for the next class - Look over the study questions and materials that will be covered next- Preview the next lecture using the web site- The better prepared you are the "better" the lecture will be!Homework: There are two kinds of homework in this class. MTA assignments are online exercises designed to give you practice with the language, identifications, discriminations and decision making that are central to the course topics. These assignments are all conducted using a single-event mastery format. Each assignment has one or more topics and the online software will present you withitems (questions & feedback) until you have gotten the criterion number of items correct in each topic. You are expected to complete each EDU assignment before the class meeting following its assignment. The last day to hand in homework assignments that will be graded and included in your course grade is the Friday of Finals Week. Computation assignments usually involve statistical analysis and presentation of the results in a prescribed format and style. There is a website at which you can check your computational results and many of your decisions and interpretations before completing the write-up and handing in the assignment. Be sure to print out the completed online check and hand it in with your assignment. The last day to hand in homework assignments that will be graded and included in your course grade is the Friday of Finals Week.Quizzes:The Short Answer portion of each quiz will ask you to respond to a selection of the study questions. There will be some choices, but don't get brave. Your answers should be complete yet concise and must take "sentence and paragraph" form (no lists, phrases, or dependence upon figures, except where specified). All of the questions can be answered in 4-5 sentences (though some take more care to do this). Overly long answers will be carefully perused and richly punished for repetition, wondering off topic, and other trickery designed to prevent me from noticing that you don’t really know the answer. The Story Problem portion of each quiz will involve identifications, calculations, written interpretations, comments about “someone else’s” interpretations, etc. For the Story Problem portion of each quiz you should bring a calculator. I’ll provide whatever computators, tables, etc. are necessary. Quizzes and retakes will be scheduled in the Testing Center in Burnett Hall – be sure to check the testing dates and the times when the Testing Center is open! You may retake any particular quiz once to improve your score (and must retake it if your score is less than 90%). Different quizzes have different constructions and each has a specific retake policy that will be discussed during the