Psy 633 Statistics/Methods for S

WEEK	TOPIC
1 8/27	Introduction to course Design Overview and The Nature of Good Design Theories and Hypotheses
2 9/3	Experimental Research and Quasi-Experimental Research Drinking Glucose--Discussion leader example and choose articles
3 9/10	Article Assign. 1 due Discussion Leaders are: #10 #11 #13 #15
4 9/17	Article Assign. 2 due Correlational Research and Causal-Comparative Research Discussion Leaders are: #7 #9 #23 #25
5 9/24	Article Assign. 3 due Notes: Sampling & Steps of Survey Research Survey Research and Pre-Experimental Research Discussion Leaders are: #1 #3 #18 #19
6 10/1	Article Assign. 4 due Program Evaluation and Meta-Analysis Discussion Leaders are: #26 #27 #28 # 38
7 10/8	Reliability and Validity Discussion Leader is: Math Anxiety Rating Scale (posted in D2L)— Notes: Hypothesis Testing, Effect size, & Power Sketch: Relationship between Type I error, Type II error, and Power Midterm Exam available on D2L
8 10/15	Midterm Exam due to D2L 10/10 11:59 pm Introduce On-line Ethics Training (CITI) (Due w/ final exam, 12/12. Certificate needs to be valid through December of 2024.) Hyopthesis Testing Worksheet for discussion in class Introduce t-tests Notes: Single Sample t-test Notes: Independent Samples t-test Notes: Paired Samples t-test t-test example 1 -SPSS instructions (single-sample) W/ Sample write-up t-test example 2-SPSS instructions (indep. samples) W/ Sample write-up t-test example 3 --SPSS instructions (paired samples) *W/ Sample write-up Example data sets in Excel
9 10/22	Work on Lab 1--t-tests Lab 1 Data Sets in Excel Use the Excel data sets as starting points. 1) Define needed variables in SPSS and 2) Copy and paste data set into SPSS data sheet, 3) Run the anlaysis in SPSS, and 4) Type lab answers and paste output as needed. Be sure to number your answers as specified in the lab assignment.
10 10/29	Stats 1—t-tests due 10/29, 11:59 pm Note regarding all SPSS exercises (including labs): Always use the Excel files to copy and paste into the SPSS data sheet. Introduce Notes: Power & Parametric Assumptions Notes: Intro to ANOVA Video: Between Subjects ANOVA and Lab 2 preview K&F Ch. 10 (One-way between groups ANOVA): Sample Results Section Data Sets in Excel for K&F Chapters 10 & 12 Notes: Repeated Measures ANOVA Video: Repeated Measures ANOVA and Lab 2 preview K&F Ch. 12 (One-way within subjects ANOVA) Sample Results Section Work on Lab 2--ANOVA Excel WJ mock data set
11 11/5	Stats 2 due 11/5 by 11:59 pm Video: Understanding and Describing Factorial ANOVA Introduce Factorial Designs (my background notes) Calculating factorial ANOVA--Do the understand & describe activity then see the link below. Answers for Understand & Describe Factorial Effects Video: Factorial ANOVA and Preview Lab 3 Factorial ANOVA--hormones & gender SPSS datasheet Factorial ANOVA--Excel hormones & gender SPSS data and output Factorial ANOVA--gender x hormones results section Work on Lab 3--Factorial ANOVA WJ mock data set Excel WJ mock data set for factorial
12 11/12	Stats 3 due 11/12 by 11:59 pm Introduce Bivariate Correlation & Regression Linear Regression Notes Linear & Multiple Regression Correlation & Regression (my background notes) Lab 4 Part 1 Regression worksheet--Submit with Lab 4 Lab 4 Part 2--Questions for Bivariate correlation & regression in SPSS Lab 4 Part 2 Data in Excel
13 11/19	Stats 4 due 11/19 by 11:59 pm Introduce Multiple Regression Linear & Multiple Regression Multiple Regression Chapter Multiple regression discussion questions and answers lab 5 practice assignment and responses SPSS data file for lab 5 practice Excel data file for lab 5 practice
14 11/26	Work on Lab 5--Multiple Regression w/ outpupt SPSS data for Lab 5 Excel data file for Lab 5 No classes 11/27-11/29 Fall Break
15 12/3	Stats 5 due 12/3 by 11:59 pm Introduce Power & Parametric Assumptions (Notes) Video: Power & Parametric Assumptions Stats decision flow chart Review: Intro to Stats (Scales of measurement) Introduce Chi-Square (Notes) Video: Preview of Chi-Square Goodness of Fit (Lab 6 Practice) Video: Preview of Chi-Square Test for Independence (Lab 6 Practice) Lab 6 Practice with output & sample Results sections Text preference data Acad. performance x self-esteem data Lab 6 Practice Excel data and variables Work on Lab 6--Chi-Square w/ output Data Set 1 (SPSS) Data Set 2 (SPSS) Lab 6 Excel data and variables Other Resources: Goodness of Fit Car example data Results section Test for Independence Hair example data Results section Example Lab
16 12/10 *Last day of regular classes*	Stats 6 due 12/10 by 11:59 pm Ethical Principles Reminder: On-line Ethics Training (CITI) Follow all instructions at this link. A printed copy of your completion certificate is due with your final exam. If you had the training before, the certificate needs to be valid through December of 2024. The training must be renewed every 3 years. Notes--Ethical Principles w/ scenarios MSUM IRB Sample submission Preparing IRB Materials Take-home final exam becomes visible in D2L on 12/10 Final exam due in D2L on 12/16 by 11:59 pm

Course Description
Principles of univariate, bivariate and non-parametric statistics, including inferential tests, correlation, and regression, as well as critical analysis and interpretation of school-psychology relevant research articles. Includes principles of experimental, quasi-experimental, and correlational research, focusing on designs, validity, power, effect size, and ethical principles. Prerequisite: One course in statistics.

A Simple Guide to IBM SPSS Statistics (12^th Ed. Version 20 OR 13^th Ed. Version 22) by Lee A. Kirkpatrick and Brooke C. Feeney

Zoom: Required every class for students attending remotely. Zoom usage will be required of every student if a transition to fully online instruction becomes necessary at any point in the semester.

Expectations: Students are expected to attend all classes, participate actively and professionally in discussions of assigned readings, complete (with professional quality) all in-class and homework exercises, ask questions, and write the mid-term and final essay exams with accuracy, relevant details, and professional voice.

Discussion Leaders will lead a 12-15 minute discussion and PowerPoint presentation about their assigned article. Use the assigned discussion questions as a springboard for deeper, focused questioning in a few areas of your choosing. The areas should concern design, methods, and/or stats issues. Use some visuals and outside resources (e.g., PowerPoint slides that display your questions, webpages that illustrate a point or example, another relevant research article, etc) to help the audience think about your article in a different way. Then tie discussion questions to those resources. Also build in slides providing prompts/background/support for answers (should your audience be stumped).

Please upload your PowerPoint presentation to the Discussion Leader D2L assignment folder by 1:30 the day of your presentation. We will project the presentation on the classroom screen and in the Zoom meeting. Be sure your discussion questions are written out within the presentation. I suggest you prepare about three main questions (some of those may contain shorter follow-up questions) to be sure you fill your minutes. If you do not get to all of your questions, that is okay as long as your time was filled with relevant, productive, well-reasoned discussion about your assigned article and related research design and stats issues. If an emergency arises and you are not able to present on your assigned day, please communicate promptly with the professor.

Evaluation and Grading: Below is a general list of assignments for this semester. Specific assignments and due dates will be discussed in class and posted in D2L.

Grades will be assigned using the following scale: A = 90-100% B = 80-89% C = 70-79%

Policies: All work will look professional – e.g., typed, well organized, properly referenced, etc. (If unsure, ask the instructor). If you are unable to meet a course due date, please email the professor as soon as possible.

Accessibility Statement: Minnesota State University Moorhead is committed to providing equitable access to learning opportunities for all students and strives to make courses inclusive and accessible in accordance with sections 508, 504 of the 1973 Rehabilitation Act and the Americans with Disabilities Act. The University will make reasonable accommodations for students with documented disabilities. Accessibility Resources (AR) is the campus office that collaborates with students in need of accommodations and assists in arranging reasonable accommodations. If you have or think you may have a disability or are currently registered and have questions/concerns, please contact the Director of Accessibility Resources at:

Academic honesty: Copying test answers or papers from classmates or other sources (including the web or generative AI) is considered plagiarism and is the equivalent of scholarly or "literary" stealing. Such activities reflect shabby standards of personal integrity and such conduct is professionally unethical. In the event that you are caught plagiarizing or copying, you will be failed in the course, regardless of the level of work on other class activities. For more information, see the MSUM Student Handbook. https://www.mnstate.edu/about/policies-procedures/student-handbook/

Sexual Violence: Acts of sexual violence are intolerable. MSUM expects all members of the campus community to act in a manner that does not infringe on the rights of others. We are committed to eliminating all acts of sexual violence.

MSUM faculty and staff are concerned about the well-being and development of our students. We are obligated to share information with the MSUM Title IX Coordinator in certain situations to help ensure that the students’ safety and welfare is being addressed, consistent with the requirements of the law. These disclosures include but are not limited to reports of sexual assault, relationship violence, and stalking.

If you have experienced or know someone who has experienced sexual violence, services and resources are available. You may also choose to file a report. For further information, contact Lynn Peterson, Title IX Coordinator, petrsnly@mnstate.edu; 218-477-2967, or Ashley Atteberry, Director of Student Conduct & Resolution; ashley.atteberry@mnstate.edu, 218-477-2174; both located in Flora Frick 153. Additional information is available at: www.mnstate.edu/titleix

Safety/Emergency Plans: As we prepare to start a new academic year and semester, the MSUM Facilities, Grounds & Safety Committee would like everyone to review the Emergency maps as well as the Emergency Preparedness Guide. Even a quick look at this information can make a difference in how you may react/respond in an emergency. If you have questions after reviewing this information, please contact Ryan Nelson, Director of Public Safety for further clarification. Thank you in advance for taking time to help protect yourself and others.

Building maps showing emergency exit routes, fire extinguisher locations, and fire alarm pull stations are conspicuously located in classrooms, labs, conference rooms, departmental main offices and residence halls. The Emergency Preparedness Guides (flip style booklets) are located with the maps. Please review the floor plans as well as the guide so you know how to respond in an emergency situation to help protect yourself and others. If you have questions, please contact Ryan Nelson, Director of Public Safety, at ryan.nelson@mnstate.edu or 218-477-5869. https://www.mnstate.edu/student-life/public-safety/

Anti-bias Statement: Minnesota State University Moorhead has an enduring commitment to enhancing Minnesota’s quality of life by developing and fostering understanding and appreciation of a free and diverse society and providing equal opportunity for all its students and employees. Incidents of hate and bias are inconsistent with the mission and values of MSUM.

MSUM acknowledges that it occupies the ancestral land of the Anishinaabe (Ojibwe), Dakota (Sisseton, Wahpeton) and Yanktonai Dakota First Nations. We will strive to build toward better relationship between our university and the indigenous people still present with us.

A bias incident is an act of bigotry, harassment, or intimidation that is motivated in whole or in part by bias based on an individual's or group's actual or perceived race, color, creed, religion, national origin, sex, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, or familial status.

Professor: Christine Malone, Ph.D.	Office: Bridges 360 G
Email: malonech@mnstate.edu	Web materials: D2L Brightspace
Phone: 218-477-2804	Class Meets: Tuesday 2:30 – 3:50 pm
Office Hours: MW 9 am - noon; T Th noon - 2 pm or by appointment To schedule an appointment with me: https://outlook.office365.com/owa/calendar/DrChristineMalone@MinnState.edu/bookings/ To join Zoom appointment with me: https://minnstate.zoom.us/j/2090651983 Passcode: 360	Zoom Classroom Link: https://minnstate.zoom.us/j/97035580464 Passcode: 633 Meeting ID: 970 3558 0464