EDUC/PSY 6600 Pretest Policy & Instructions
There are two prerequisites for enrollment in EDUC/PSY 6600 (Research Design and Analysis I).
- Successful completion of EDUC/PSYCH 6570, which is a graduate level course in research methods. Alternative graduate-level research methods courses must have approval to be counted as a prerequisite for EDUC/PSY 6600.
- Passing a pretest. Mastery of the content of an undergraduate statistics course (e.g., PSY 3010). EDUC/PSY 6600 is a graduate-level statistics course that requires prior knowledge of basic statistical concepts. In EDUC/PSY 6600, students are required not only to read research findings and understand the analyses used, but also learn how to independently conduct statistical analyses of their data at a higher level. Students without exposure to or mastery of basic statistical concepts typically struggle with the content of EDUC/PSY 6600 and place an undue burden on the instructor, who must help them learn concepts they should have mastered previously. As an additional consequence, other students are disadvantaged because the time the instructor spends on remediation detracts from the time necessary to teach the objectives of EDUC/PSY 6600.
In 2005, the College of Education & Human Services began requiring students to pass a pretest covering the content of a typical undergraduate social science statistics course prior to registering for EDUC/PSY 6600. Students must pass the pretest within 5 business days of the first day of the semester. However, if the course is full, the student will not be able to register. Pretest scores are good for one year. A student must obtain at least 70% correct to enroll in EDUC/PSY 6600. Students who do not pass the pretest on the first attempt may take it up to two more times (total of 3 attempts). Students who do not pass on the third attempt will have to wait until the next semester to retake the pretest (with three more attempts) and enroll in EDUC/PSY 6600 the following semester. The pretest consists of 30 randomly-selected multiple choice and true/false questions. Students have one hour to complete the test. Results of the test will be made available immediately. Students also receive feedback about the areas in which they missed items (e.g., standard scores, measures of central tendency, correlation). Although notes, calculators, or other electronic devices are not permitted during the pretest, plain scratch paper and a pencil/pen are allowed. A study guide and a practice pretest with answers are available online. Although the pretest is not specific to any text, students who need additional preparation for the pretest may review a textbook similar to Essentials of Statistics for the Behavioral Sciences (8th Ed.) by Gravetter and Wallnau.
The pretest is administered through the USU Testing, Assessment, and Remediation Laboratory (TARLab), located on the main campus of Utah State University (ESLC 131). However, distance students may take the pretest at the nearest USU extension campus (Extension TARLab). In order to take the pretest, students should go to the TARLab or USU distance education site with their student ID and tell the staff that they need to take the EDUC/PSY 6600 pretest. Please note the TabLab’s schedule, as the TARLab is generally closed to open testing during university breaks. Students planning to take the pretest at a USU extension location may need to contact the site to make an appointment to take the pretest. Please check with the TARLab well in advance to ensure that their facilities will be available for taking the pretest at the desired time and to also allow for multiple pretest attempts in case it is necessary to do so before the beginning of the semester. USU extension sites are also available to students living in Logan if the TARLab is closed. If there are any difficulties registering for or taking the pretest, please send an email to email@example.com with the following information:
First and last name of student:
Email address of student:
Name of proctor:
Email address of proctor:
A representative from the testing center will get back with you as soon as possible to help you resolve any issues.
The Psychology Department Advisor can verify completion of the EDUC/PSY 6600 pretest and the EDUC/PSY 6570 prerequisite, and open registration for EDUC/PSY 6600. Questions about this policy should be addressed to the Associate Dean for Research in the College of Education & Human Services.
Refresher Resources for the EDUC/PSY 6600 Pretest
Below are several recommended resources to help you prepare to take the EDUC/PSY 6600 (Research Design & Analysis I) pretest. Each resources is free and includes several modules or resources that addresses aspects of the pretest. Please note that these resources are not created or maintained by Utah State University, nor are they specific to the EDUC/PSY 6600 course.
The “Statistics and probability” modules provide good coverage of the topics included on the EDUC/PSY 6600 pretest. Each module is accompanied by videos and explanations. Topics that may be particularly useful include: displaying data, describing data, significance tests (one or more samples), confidence intervals, inference, ANOVA, and sampling distributions.
Stanford provides a self-paced online course on probability and statistics. As stated on their website: “The course is simply here for people who want to learn more about statistics.” Sections that may be of the most use include: “Exploratory Data Analysis” (especially histograms and other distribution discussions), “Producing Data” (the sampling material), and the “Inference” sections.
Udacity offers a free statistics course aimed at beginners. The course covers many of the topics included on the EDUC/PSY 6600 pretest. You will need to set up a free account with them in order to watch the videos. Many of the videos are also available on YouTube. Some are very introductory and may be skipped if it is something you are already comfortable with.
This site provides walk-through examples (no videos) that allow you to test your knowledge and learn as you go. You can also analyze real data using R or Excel.