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JOHN CABOT UNIVERSITY
COURSE CODE: "PS 208-2"
COURSE NAME: "Introduction to Statistical Analyses of Psychological Data"
SEMESTER & YEAR:
Fall 2023
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SYLLABUS
INSTRUCTOR:
Merel Keijsers
EMAIL: [email protected]
HOURS:
MW 11:30 AM 12:45 PM
TOTAL NO. OF CONTACT HOURS:
45
CREDITS:
3
PREREQUISITES:
Prerequisite: PS 210
OFFICE HOURS:
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COURSE DESCRIPTION:
The course introduces students to the statistical methods commonly used in psychological research and provides the
necessary foundation in statistical reasoning to think critically about psychological findings reported in research articles and
in the media. Students will learn how to use statistics in the context of research, what statistical test is appropriate given the
research design and the type of data collected, and why statistical tests are used to draw conclusion in research. They will also
learn how to write up their own statistical analyses in APA style. The course includes a laboratory component where students
will familiarize themselves with statistical software and will learn how to use it for managing and analyzing data. Sample
topics include: scales of measurements, measures of central tendency and variability, the logic of hypothesis testing
(including limitations and modern approaches), parametric and nonparametric tests, effect size, confidence intervals, power
and sample size.
Minimum passing grade for students enrolled for the BA in Psychological science: C-
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SUMMARY OF COURSE CONTENT:
The course introduces students to the statistical models and tests commonly used in psychological research and provides the necessary foundation in statistical reasoning to think critically about psychological findings reported in research articles and in the media. Students will learn how to use statistics in the context of research, what statistical test is appropriate given the research design and the type of data collected, and why statistical tests are used to draw conclusion in research. They will also learn how to carry out statistical tests in Jamovi, and to write up their own statistical analyses in APA style.
The tests covered in the course are discussed from three perspectives: the theoretical (a lecture on the theoretical and mathematical underpinnings of the test), the applied (an interactive discussion session in which an academic paper using said test is being used) and the practical (a laboratory session where students will use statistical software to carry out the test in question). Similarly, the overall course grade will be composed of a theoretical (midterm/final), practical (three assignments), and applied (presentation and final) assessment.
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LEARNING OUTCOMES:
By the end of this course, students should be able to
- Identify and use appropriate statistical procedures and terminology.
- Be comfortable using statistical software to manage and analyze data.
- Understand how statistical methods are used to test hypotheses.
- Interpret quantitative data displayed in statistics, graphs, and tables, including statistical symbols in research reports.
- Interpret the outcomes of the (discussed) statistical tests both in terms of generated output and statistics reported in academic papers.
- Accurately summarize and present statistical results in a meaningful manner both orally and in writing. Write using APA Style.
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TEXTBOOK:
| Book Title | Author | Publisher | ISBN number | Library Call Number | Comments | Format | Local Bookstore | Online Purchase |
| Discovering statistics using R | Field | Sage | 978-1446200469 | | We will use chapters 1, 2, 4 - 10, 12, 17, 18 | Ebook | | |
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REQUIRED RESERVED READING:
RECOMMENDED RESERVED READING:
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GRADING POLICY
-ASSESSMENT METHODS:
| Assignment | Guidelines | Weight |
| Assignment 1 | Students will be required to carry out & report on the t-test. | 15% |
| Assignment 2 | Students will be required to carry out & report on the ANOVA. | 15% |
| Assignment 3 | Students will be required to carry out & report on a (logistic) regression. | 15% |
| Midterm | The midterm will be in-person, closed-book, and assess students' understanding of the principles of statistics | 20% |
| Final | The final will be a take-home exam and assess both students' understanding of the theoretical underpinnings of statistics, and their applied skills (e.g. interpreting statistical results). | 20% |
| Quizzes | The course offers 8 MC quizzes that the students can do in their own time (so open book). Students have 3 attempts to pass a quiz; passing occurs when they get 75% of the answers correct. The percentage of quizzes passed is 5% of the total grade (i.e. if a student passes all quizzes, their overall grade goes up with 5 points) | 5% |
| Labs and readings | Students will be asked to complete a set of questions for each of the papers that will be discussed in class (6 in total), and a be lab report for ever lab done in class (6 in total). These assignments will be graded as complete/incomplete. The percentage of complete assignments will count for 10% of the overall course grade. | 10 |
-ASSESSMENT CRITERIA:
A(90% or above) Work of this quality directly addresses the question or problem raised and provides a coherent argument displaying an extensive knowledge of relevant information or content. This type of work demonstrates the ability to critically evaluate concepts and theory and has an element of novelty and originality. There is clear evidence of a significant amount of reading beyond that required for the course.
B(80-89%) This is highly competent level of performance and directly addresses the question or problem raised.There is a demonstration of some ability to critically evaluatetheory and concepts and relate them to practice. Discussions reflect the student’s own arguments and are not simply a repetition of standard lecture andreference material. The work does not suffer from any major errors or omissions and provides evidence of reading beyond the required assignments.
C(70-79%) This is an acceptable level of performance and provides answers that are clear but limited, reflecting the information offered in the lectures and reference readings.
D(60-69%) This level of performances demonstrates that the student lacks a coherent grasp of the material.Important information is omitted and irrelevant points included.In effect, the student has barely done enough to persuade the instructor that s/he should not fail.
F(Below 60%) This work fails to show any knowledge or understanding of the issues raised in the question. Most of the material in the answer is irrelevant.
-ATTENDANCE REQUIREMENTS:
ATTENDANCE REQUIREMENTS AND EXAMINATION POLICY
You cannot make-up a major exam (midterm or final) without the permission of the Dean’s Office. The Dean’s Office will grant such permission only when the absence was caused by a serious impediment, such as a documented illness, hospitalization or death in the immediate family (in which you must attend the funeral) or other situations of similar gravity. Absences due to other meaningful conflicts, such as job interviews, family celebrations, travel difficulties, student misunderstandings or personal convenience, will not be excused. Students who will be absent from a major exam must notify the Dean’s Office prior to that exam. Absences from class due to the observance of a religious holiday will normally be excused. Individual students who will have to miss class to observe a religious holiday should notify the instructor by the end of the Add/Drop period to make prior arrangements for making up any work that will be missed. The final exam period runs until 8 December 2022.
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ACADEMIC HONESTY
As stated in the university catalog, any student who commits an act of academic
dishonesty will receive a failing grade on the work in which the dishonesty occurred.
In addition, acts of academic dishonesty, irrespective of the weight of the assignment,
may result in the student receiving a failing grade in the course. Instances of
academic dishonesty will be reported to the Dean of Academic Affairs. A student
who is reported twice for academic dishonesty is subject to summary dismissal from
the University. In such a case, the Academic Council will then make a recommendation
to the President, who will make the final decision.
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STUDENTS WITH LEARNING OR OTHER DISABILITIES
John Cabot University does not discriminate on the basis of disability or handicap.
Students with approved accommodations must inform their professors at the beginning
of the term. Please see the website for the complete policy.
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SCHEDULE
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Week
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Dates
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Topic
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Assignments
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1
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4 - 10 Aug
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Introduction to PS208
Descriptives 1: The building blocks of science
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2
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11 - 17 Aug
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Descriptives 2: Graphs & how to lie with statistics
Hypothesis testing 1: philosophy of science
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3
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18 - 24 Aug
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Hypothesis testing 2: caveats and issues
T-tests - the theory (lecture)
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4
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25 Aug - 1 Oct
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T-tests - paper (group discussion)
T-tests - lab session.Hand out Assignment 1
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5
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2 - 8 Oct
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How to write a statistical report (t-test lab session part 2)
Introduction to linear models (lecture)
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6
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9 - 15 Oct
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One-way ANOVA - theory (lecture)
One-way ANOVA - paper (group discussion)
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7
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16 - 22 Oct
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One-way ANOVA - lab session
Factorial ANOVA - theory (lecture)
Make-up day (for 1 Nov)Factorial ANOVA - interactions
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A1 due
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8
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23 - 29 Oct
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Factorial ANOVA - paper (group discussion)
Factorial ANOVA - lab session.Hand out Assignment 2
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9
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30 Oct - 5 Nov
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Review for midterm
Holiday
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10
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6 - 12 Nov
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Midterm
Regression - theory (lecture)
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11
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13 Nov - 19 Nov
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Regression - paper (group discussion)
Regression - lab session
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A2 due
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12
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20 - 26 Nov
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Categorical data - theory (lecture)
Categorical data - paper (group discussion)
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13
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27 Nov - 3 Dec
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Categorical data - lab session.Hand out Assignment 3
Correlation + reliability - theory (lecture)
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14
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5 - 10 Dec
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Correlation + reliability - paper (group discussion)
Correlation + reliability - lab session
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15
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11 - 17 Dec
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Final words on statistics
Wrap up
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A3 due
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15
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1 - 7 May
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Finals week;Take-home exam
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