# PSYC*1010, Course Outline: Fall 2015

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2 2 Semester Offering: Fall 2015 Class Schedule and Location: Schedule: Tuesday and Thursday, 11:30 am - 12:50 pm. Location: MCLN 102 (MacLachlan, Room 102). Instructor Information Instructor Name: Lana Trick Instructor Office location: MacKinnon Building (new extension) Room 4003 Office hours: Tuesday, 1-3 pm, Wednesday, 12-2 pm or *by appointment GTA Information GTA Name: Seoun Lee, Kelsea Beadman, Kieren Summerfeldt, and Kevin Noble GTA s: GTA office location and office hours: By appointment only Course Content Specific Learning Outcomes: Specific process and content outcomes for the course. On successful completion of this course, you will be able to accomplish the following: 1. Describe the stages involved in scientific reasoning and specify the role and importance of quantification in the scientific method (the scientific reasoning process). Use an example of your own creation to help you explain how this process works. 2. Identify the weak points within scientific arguments (places where error can enter), and the places where an individual could lie or mislead using statistics or the graphical presentation of data. 3. Analyze a research question, identifying the relevant measured and manipulated variables and the scale of measurement for variables. Indicate whether the study is a true experiment, a quasi-experiment, or correlational design and describe the relative strengths and weaknesses of each type of design.

3 3 4. Identify the independent and dependent variables in true and quasi-experiments, being sure to report the measures in terms of how they are measured or manipulated (operational definitions). Identify the relevant variables in a correlational study, describing each variable in terms of how it is measured. 5. Describe the differences between descriptive and inferential statistics, indicating when each would be used. Determine the appropriate form of statistical analysis for simple experiments. This involves choosing the correct descriptive and inferential statistic. 6. Create and graph frequency information (frequency distributions). Calculate measures of central tendency (mean, medium, mode) and variability (e.g., range, standard deviation, variance). Explain the meaning and importance of these measures, using jargon-free language and concrete examples of your own creation. 7. Interpret information that is presented in graphical format (graphs). Create graphs for frequency distributions, true and quasi-experiments, and correctional studies. 8. Explain what hypothesis testing is, indicating its purposes, the processes involved, and the places where error can enter into the process using jargon-free language and concrete examples of your own creation. Indicate the role of probability in hypothesis testing and inferential statistics. (Note: This involves knowing how to define probability and inferential statistics in your own words.) 9. Carry out hypothesis testing using z-tests, t-tests, and Pearson correlation. (This involves calculating the statistic as well using the result in decisions). Calculate measures of effect size (e.g. Cohen s d, r 2 ). Indicate what statistical significance means and indicate how this is related to effect size and statistical power. (Note: This means you will have to be able to describe what each concept mean in simple jargon-free language, using a concrete example of your own creation to explain what you mean). These outcomes will be measured in exams, quizzes, and the design assignments. The homework will be used to help develop these skills. Generic Process Objectives for the course. In taking this course, students will develop the following general skills: 1. Critical thinking skills (analysis, evaluation of arguments) 2. Quantitative skills (calculations, interpreting the meaning of mathematical formulas, graphs) 3. Communication skills (written communication, explaining complex concepts in simple language, using diagrams and examples), listening skills (note-taking requires the ability to determine the important information on the fly and documenting it).

4 4 4. Time management Lecture Content: The table below lists the content of the lectures and the associated readings from the text. Notice that much of the material will be covered solely in lecture (I chose the text because the chapters were nice, brief, and to the point. The down side is that the coverage is too skimpy on some topics.) Please note that these dates are tentative. Although exam and quiz dates and deadlines will not change, it is possible that it may take more or less time to cover the various topics in a given year. In the event that we get off schedule, please see the class website (Courselink D2L) to see the readings required for a given exam. Date Content Readings ( Either from Geher and Hall text, Straightforward Statistics or Courselink website). Sept 10 (Be sure to attend. There will be an assignment for you on the first day an online quiz that you will need to complete to be prepared for the in-class quiz on September 17). Introduction to Statistics and Research Design (Scientific reasoning, goals of science) Identifying variables Samples and populations Random assignment vs. Random sampling Math Review: Appendix A (Posted under the Content section on Courselink) Homework/quizzes It is critical that you go through the arithmetic review and work on the associated online quiz on the weekend so you can review your basic arithmetic skills and be prepared for the in-class quiz on Sept 17 Sept. 15, 17* Sept. 22, 24* Research Design (identifying different types of study) Descriptive Statistics Frequency distributions Visual displays of data Central tendency and variability, Start Standardized scores Chapter 2 in text Chapters 2-3 in text *Quiz 1 (online) on Appendix A and all lecture notes: Thursday, Sept 17 *Quiz 2 (in class) on Sept 24 (All the material you have learned to this point. This helps you practice for

5 5 Date Content Readings ( Either from Geher and Hall text, Straightforward Statistics or Courselink website). Sept 29, Oct 1** Oct. 6, 8 Oct 15* (Note: Oct 13 is Reading Day). Finish the section on Experimental design and Descriptive statistics, Standardized scores Standardized scores, Basic elements of hypothesis testing Basic elements of hypothesis testing, Introduction to hypothesis testing Homework/quizzes the exam). Chapter 3 **Exam 1: Oct 1 (Chapters 2-3 and all lectures) End of Chapter 3 (if not completed before), Chapter 7 Chapter 7, Chapter 8, Hypothesis testing *Quiz 3 (online) on Oct 15 : On all material you have learned to this point. Oct 20, 22* Hypothesis testing Chapter 8 *Quiz 4 (in-class) on Oct 22. On all of the material you have learned to this point. Oct. 27, 29** Hypothesis testing Chapter 8 **Exam 2 on Oct 29 (Cumulative midterm: ALL lectures and text readings from the beginning of the term in Sept.) Nov. 3, 5 One sample and within groups (paired samples) Chapter 10 Nov. 10, 12* t-tests Within Groups t-test Between groups t-test Chapter 10 Chapter 11 *Quiz 5 (online) on Nov 12. On all of the material you have learned to this point. Nov. 17, 19* Correlation Chapter 4 *Quiz 6(in-class) on Nov 19. On all of the material you

6 6 Date Content Readings ( Either from Geher and Hall text, Straightforward Statistics or Courselink website). Nov. 24, 26 Correlation Chapter 4 Homework/quizzes have learned to this point. Exam preparation. Dec 1*, 3 (Note that all the missed Tuesday classes from Oct 13 are rescheduled for Dec 3). Dec 14 ** Labs: None Seminars: None Big picture: Putting it all together. Learning to recognize ANOVA, Chi Square, and other forms of correlation Big picture: Putting it all together Recognizing the situations in which you use each statistic. Final Exam** Monday, Dec pm. Chapters 1-4, 6-8, Cumulative final exam. Exam will be based on everything covered in lecture or the text since the beginning of the term. *Deadline for the last Participation and Design Assignment: Dec 1 Course Assignments and Tests: Assignment or Test Due Date Contribution to Final Mark (%) Quizzes 1-6 Quiz 1: Sept 17 Average of the best 4 Quiz 2: Sept 24 of 6 quizzes: Quiz 3: Oct 15 20% total Quiz 4: Oct 22 Quiz 5: Nov 12 Quiz 6: Nov 19 Homework 1-3 The homework is strongly recommended but not mandatory. You The homework is not marked though you will be receiving feedback. What you Learning Outcomes Assessed Specific: 3-9 Generic: 1-2 and 4 Specific: 1-9 Generic: 1-4

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