Fall 2020  |  PSY 5862 Section 001: Psychological Measurement: Theory and Methods (14167)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Enrollment Requirements:
Psy 3801H or Math 1271 or grad student
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Mon, Wed 01:00PM - 02:15PM
Off Campus
UMN REMOTE
Enrollment Status:
Open (19 of 30 seats filled)
Also Offered:
Course Catalog Description:
Types of measurements (tests, scales, inventories) and their construction. Theory/measurement of reliability/validity. prereq: 3801H or MATH 1271 or grad student
Class Notes:
Enforced prerequisites for this class: PSY 3801H or MATH 1271 or grad student This course is completely online in a synchronous format. The course will meet online at the scheduled times.
Class Description:
Psychological measurements are used in all applied areas of psychology. Tests and other measuring instruments that quantify human behavior are used by counseling and clinical psychologists, school psychologists, industrial/organizational psychologists, and any psychological researcher doing research that involves individual differences. Psychological measurement methods are also used by researchers in a wide variety of other fields including sociology, political science, education, and medical and nursing research. Psy 5862 is concerned with the process of quantification in psychology and related fields -- why do we quantify, how do we quantify, and how do we know if our measurements (or measuring instruments constructed by others) are functioning properly? The discussion includes all types of psychological measurement instruments -- tests of ability and achievement, and scales for measuring personality, interests, and preferences. The focus is not on specific measuring instruments, but on methods and procedures that are used to develop various types of instruments. Procedures for evaluating instruments in terms of their reliability, validity, and other characteristics are emphasized. Although the material is quantitative, the presentation is primarily conceptual. However, a basic knowledge of statistics is assumed -- you should at least know what a mean and a standard deviation are and have had some exposure to the idea of correlation.
Grading:
40% Midterm Exam
60% Final Exam
Exam Format:
Essay: short- and long-answer
Class Format:
100% Lecture
Workload:
50-100 Pages Reading Per Week
2 Exam(s)
Other Workload: Note: There are no specific requirements in terms of basic math -- you do not need to have had coursework in algebra or calculus.
Textbooks:
https://bookstores.umn.edu/course-lookup/14167/1209
Instructor Supplied Information Last Updated:
21 May 2007

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