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821 EDPSY Psychometric Theory and Practice Professor: Cindy M. Walker Office: Enderis 785 Phone: 414-229-5053 (office) 414- 352-3646 (home) E-mail: cmwalker@uwm.edu Office hours: M 3:30 4:30 and by appointment Time: M 4:30 7:10 Room: MER 116 Course Overview: This course is designed to be an overview of the world of psychometrics. As such, students will learn about the construction of psychological tests from the perspective of classical test theory, generalizability theory, and item response theory. Students will learn how to analyze tests at both the macro level (using reliability and validity indices) and the micro level (using item indices and fit statistics). Required Textbook: Crocker, L.. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Fort Worth, TX: Harcourt.. Additional Resources: Allen, M. J. & Yen, W. M. (1979). Introduction to Measurement Theory. Belmont, CA: Wadsworth. Hambleton, R. K., Swaminathan, H. (1985). Item Response Theory: Principles and Applications. Norwell, MA: Kluwer-Nijhoff Publishing. Hambleton, R. K., Swaminathan, H. & Rogers, H. J. (1991). Fundamentals of Item Response Theory. Newbury Park, CA: Sage. Linn, R. L.. (1988). Educational Measurement (Third Edition). New York: Macmilan. Shavelson, R. J. & Webb, N. M. (1991). Generalizability Theory: A Primer. Newbury Park, CA: Sage. Traub, R. (1994). Reliability for the Social Sciences. Thousand Oaks, CA: Sage. Wainer, H. & Braun, H. I. (1988). Test Validity. Hillside, NJ: Lawrence Erlbaum. Additional Readings: Hambleton, R. K. & Jones, R. W. (1993). Comparison of classical test theory and item response theory and their applications to test development. Educational Measurement: Issues and Practice, 12(2), 38-47. Harvill, L. M. (1991). Standard error of measurement. Educational Measurement: Issues and Practice, 10(2), 181-189. Traub, R. E. (1991). Understanding reliability. Educational Measurement: Issues and -Practice, 10(1), 37-45. Moss, P. M. (1994). Can there be validity without reliability? Educational Researcher, 23(2), 5-12. Course Requirements: A. Homework (25% of grade) Homework will be periodically assigned after class to be turned in the following class. Each assignment is designed to help enforce what we are discussing in class and to prepare you for the exam and your project. You are encouraged to work with others on these assignments. B. Midterm (35% of grade) There will be one home take exam. This exam will be open-book, meaning you will be able to use any references (i.e., books, notes, articles) you think will be helpful during the exam. However, it is expected that you work alone. C. Final Project (40% of grade) Each student will be required to conduct a systematic analysis of test or survey data using classical test theory, generalizability theory, or item response theory in their area of interest. What type of analysis you decide to do will depend largely on the type of data you choose to work with and your research interests. I would encourage each of you to set up an individual meeting with me to discuss your project. Explicit details and scoring rubrics for this project will be handed out later in the course. You will be expected to write up the results of your analyses in a publishable format and to present your findings to the class. Course Grade: Your project and each assignment will be graded using a 4-point scoring rubric. Each item on your midterm exam will be worth four points and the average of item scores will constitute your overall midterm grade. Grades will be based on a weighted average of the homework, midterm exam, and the final projects using the following universal grading policy adapted by the UWM. > 3.67 A > 3.33 A> 3.0 B+ > 2.67 B > 2.33 B> 2.0 C+ > 1.67 C > 1.33 C> 1.0 D+ > 0.67 D < 0.67 F Tentative Couse Schedule: Date 9/11 9/18 9/25 10/2 10/9 10/16 10/23 10/30 11/6 11/13 11/20 11/27 12/4 12/11 12/18 Topic Introductions What is Measurement? Basic Statistical Concepts Introduction to Scaling Process of Test Construction Test Scores as Composites Reliability and the Classical True Score Model Estimating Reliability Estimating Reliability (cont.) Introduction to Validity Validity Using Statistical Procedures to Obtain Validity Evidence Generalizability Theory Generalizability Theory (cont.) Item Analysis Item Analysis (cont) Introduction to IRT Introduction to IRT (cont) Class Presentations Assignment Read Chapters 2 & 3 Read Chapters 4 & 5 Read Chapter 6, Harvill (1991) and Traub & Rowley (1991) Read Chapters 7 & 9 Meet in stat lab Read Chapter 10 and Moss (1994) Read Chapters 11 & 13 Meet in stat lab ***Midterm handed out*** Read Chapter 8 ***Midterm due*** Meet in stat lab ***Final Project Description handed out*** Read Chapter 14 Meet in stat lab Read Chapter 15 and Hambleton & Jones (1993) Meet in stat lab ***Final Projects Due***
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Wisconsin Milwaukee >> FILM >> 116 (Fall, 2008)
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Wisconsin Milwaukee >> SOCIOL >> 261 (Fall, 2008)
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Wisconsin Milwaukee >> SOCIOL >> 342 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 310 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 330 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 403 (Spring, 2008)
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Wisconsin Milwaukee >> GEOG >> 403 (Spring, 2008)
Geography (GEOG) 403 Lab Four Introduction to IDRISI Andes 20 points Name: _ Goal: The purpose of this exercise is to introduce you to the IDRISI image processing system. Use the IDRISI ON-LINE Tutorials for this exercise, listed below. The IDRISI tu...
Wisconsin Milwaukee >> GEOG >> 411 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 411 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 411 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 411 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 441 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 441 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 441 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 455 (Fall, 2008)
GEOG 455 Exercise Two DATA SUMMARIZATION 15 points Name:_ Student#:_ Purpose: Familiarity with a few methods for summarizing, characterizing, and comparing data sets This exercise requires summarization, characterization, and some inferences about s...
Wisconsin Milwaukee >> GEOG >> 455 (Fall, 2008)
GEOG 455 Exercise One WATER BALANCE CALCULATION 15 points Name:_ Student#:_ Purpose: To calculate the annual water balance for several stations, including Milwaukee. Definitions: T Monthly values of temperature, in EF i Monthly values of the Thornthw...
Wisconsin Milwaukee >> GEOG >> 455 (Fall, 2008)
Geography 455 Applied Climatology Lecture 8 Energy Budget Climatology Needs: A. 2 GIF Introduction and definitions-the amount of heat energy, in any form that arrives at or departs the Earths surface in a specified period of time (may be broadened to...
Wisconsin Milwaukee >> GEOG >> 455 (Fall, 2008)
Geography 455 Applied Climatology Lecture 7 Hydrological Processes Needs: 4 GIF A. Climate Change and Water Resources-general relationships (Table and Figure on page 67) GIF1-3 1. Temperature and Precipitation a. Seasonality and type of precipitatio...
Wisconsin Milwaukee >> GEOG >> 470 (Fall, 2008)
Linguistics 470 Causes of linguistic change What should one not infer? haus hu:s haus hu:s 12th C Todays topics Can one achieve explanatory adequacy? Should one even try? Survey of causes of change that apply in all components of the grammar S...
Wisconsin Milwaukee >> GEOG >> 470 (Fall, 2008)
Overview of theories Metaphors for language developments Tree, species (see Neogrammarians) organism Ocean with waves Linguistics 470 Theories of diachrony Dominant theories: The Neogrammarians The phoneticians The structuralists The ge...
Wisconsin Milwaukee >> GEOG >> 564 (Fall, 2008)
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Wisconsin Milwaukee >> GEOG >> 564 (Fall, 2008)
! 57322,44682,937,206 ! 57508,54198,923,185 \"sources 20077,52254,330,9388 ? 53154,47192,813,722 a 30683,8164,593,887 a 48924,8012,606,825 a 20097,57287,606,907 a 31075,51233,593,887 a 56208,11543,593,846 about 17786,54943,593,5137 about 24926,8219,59...
Wisconsin Milwaukee >> GEOG >> 625 (Fall, 2008)
Geographic Information Science Geography 625 Intermediate Geographic Information Science Week3: Fundamentals: Maps as outcomes of process Instructor: Changshan Wu Department of Geography The University of Wisconsin-Milwaukee Fall 2006 UniversityofW...
Wisconsin Milwaukee >> GEOG >> 625 (Fall, 2008)
Geographic Information Science Geography 625 Intermediate Geographic Information Science Week 12: Describing and Analyzing Fields Instructor: Changshan Wu Department of Geography The University of Wisconsin-Milwaukee Fall 2006 UniversityofWisconsi...
Wisconsin Milwaukee >> GEOG >> 625 (Fall, 2008)
Geographic Information Science Geography 625 Intermediate Geographic Information Science Week2: The pitfalls and potential of spatial data Instructor: Changshan Wu Department of Geography The University of Wisconsin-Milwaukee Fall 2006 Universityof...
Wisconsin Milwaukee >> GEOG >> 650 (Summer, 2008)
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