Psych I_Methods(3) (1)
Introduction to Business Psychology
Course Overview
Instructor: Prof. Susann Fiedler
Institute: Institute for Cognition & Behavior, Vienna University of Economics and Business
Course Team
Team Members:
Julian Quandt
Dejan Tatić
Maryam Rassouli
Hooman Habibnia
Mey Huber
Juliane Sroba
Anna Shcherbiak
Katharina Auttrit
Aneta Zavadilová (Office Manager)
Class Philosophy
Quote from Robert Goheen: "University is a wonderful opportunity to find out not just much more about the world, but much more about yourself, too."
Course Structure
Class Organization
Schedule:
01.10.2024: Introduction & Methods
07.10.2024: Attitude Development & Perception
14.10.2024: Memory & Learning
21.10.2024: Motivation & Incentives
28.10.2024: Group Structure & Process
04.11.2024: Interpersonal Communication/Conflict
11.11.2024: Leadership Behavior & Power
15.11.2024: Exam (10-12 | D5 0.001)
Learning Objectives
Upon completion, students should be able to:
Analyze individual and group behavior systematically.
Comprehend various psychological constructs.
Evaluate empirical evidence critically.
Investigate human behavior effectively for organizations.
References
Aronson, E., Wilson, T. D., & Sommers, S. R. (2020). Social Psychology. Pearson Education India.
Smith, E. R., Mackie, D. M., & Claypool, H. M. (2015). Social Psychology (4th ed.).
Eysenck, M. W., & Keane, M. T. (2015). Cognitive Psychology: A Student's Handbook. Psychology Press.
Assessments
Class Assignments
Evaluation Parts:
Individual Assignment: Quiz Questions (25%)
Group Assignment: Lecture Book (25%)
Final Exam (50%)
Individual Assignment: CANVAS Quizzes
Format:
10 MCQs with 1-5 correct answers from a broad question bank
15-minute time limit per attempt
Quizzes may be retaken with highest score recorded.
Deadline: 7 days after attending the lecture.
Group Assignment: Educational Video
Task: Create a <5 minute educational video on a concept/theory introduced in class.
Groups: 3-5 students.
Evaluation criteria include clarity, engagement, and relevance for business education.
Deadline: 11.11.2024, 23:59.
Artificial Intelligence in Education
AI as Tutor
AI can provide detailed educational guidance.
High-quality tutoring improves learning outcomes through:
Interactive strategies
Personalized explanations
Real-time adjustments based on student responses
AI as Mentor
AI can give frequent, actionable feedback.
Effective feedback components:
Feed-up (Goals)
Feedback (Current abilities)
Feed-forward (Future steps)
Research Methodology
The Scientific Method
Knowledge is based on theory and empirical observation.
Importance of avoiding biases and misinterpretations in research findings.
Distinction between Type I (False Positive) and Type II (False Negative) errors in hypothesis testing.
Research Design
Understanding correlations vs causations:
Correlation does not imply causation.
Example: Gun ownership and aggressive behavior correlations.
Types of Research Methodologies
Qualitative Research, Quasi-Experiments, Field Experiments, and Correlational Studies.
Importance of operational definitions to ensure clarity and consistency across studies.
Survey Design Principles
Clear objectives and understanding the audience.
Incorporating ethical considerations.
Types of questions to include: open-ended, closed-ended.
Reliability & Validity
Reliability measures the absence of error in measurements.
Validity checks if the measure reflects the underlying construct accurately.
Internal validity ensures soundness of experiment, while external validity assesses generalization of findings.
Conclusion and Exam Preparation
Exam format: 60 minutes of open-ended and multiple choice questions.
Review individual assignments to prepare effectively for the exam.