'Discriminant validity' presentation slideshows

Anita L. Stewart Institute for Health & Aging University of California, San Francisco

Class 5 Additional Psychometric Characteristics: Validity and Bias, Responsiveness, Sensitivity to Change October 16, 2008. Anita L. Stewart Institute for Health & Aging University of California, San Francisco. Overview. Validity Including bias How bias affects validity

897 views • 75 slides

The Theory of Sampling and Measurement

The Theory of Sampling and Measurement. Sampling. First step in implementing any research design is to create a sample.

766 views • 58 slides

Kenneth S. Law ( ??? ) ?????? ??? IACMR Workshop, ?? 2007 ? 7 ?

????. Kenneth S. Law ( ??? ) ?????? ??? IACMR Workshop, ?? 2007 ? 7 ?. Different types of studies. Correlational survey studies Experimental laboratory studies Quasi experiments Qualitative studies Qualitative reviews Meta analysis (Quantitative reviews). The Survey Process.

1.36k views • 56 slides

Kenneth S. Law ( ??? ) ?????? ??? IACMR Workshop, ?? 2007 ? 7 ?

????. Kenneth S. Law ( ??? ) ?????? ??? IACMR Workshop, ?? 2007 ? 7 ?. Different types of studies. Correlational survey studies Experimental laboratory studies Quasi experiments Qualitative studies Qualitative reviews Meta analysis (Quantitative reviews). The Survey Process.

580 views • 56 slides

IS 4800 Empirical Research Methods for Information Science Class Notes February 15, 2012

IS 4800 Empirical Research Methods for Information Science Class Notes February 15, 2012. Instructor: Prof. Carole Hafner, 446 WVH hafner@ccs.neu.edu Tel: 617-373-5116 Course Web site: www.ccs.neu.edu/course/is4800sp12/. Outline.

607 views • 49 slides

CHAPTER 5

CHAPTER 5. Identifying Good Measurement. Detailed Learning Objectives. 1. Recognize the difference between a conceptual variable and its operationalization. 2. List three ways psychologists typically operationalize variables: self-report, observational, and physiological.

880 views • 38 slides

Reliability and Validity

996 views • 38 slides

Comparative Scaling

Comparative Scaling. Some Key Concepts. Measurement Assigning numbers or other symbols to characteristics of objects being measured, according to predetermined rules. Concept (or Construct) A generalized idea about a class of objects, attributes, occurrences, or processes.

502 views • 37 slides

Comparative Scaling

Comparative Scaling. Some Key Concepts. Measurement Assigning numbers or other symbols to characteristics of objects being measured, according to predetermined rules. Concept (or Construct) A generalized idea about a class of objects, attributes, occurrences, or processes.

895 views • 36 slides

926 views • 31 slides

Instrument Validation: Data Types, Scales, & Instruments

Instrument Validation: Data Types, Scales, & Instruments. Detmar Straub Georgia State University Graphics available at: detmar straub.com. A short course in ensuring that measurement error is within acceptable scientific bounds. Agenda.

708 views • 31 slides

Exploratory Factor Analysis

477 views • 31 slides

Exploratory Factor Analysis --- Dataset (TOSSE-R.sav)

Exploratory Factor Analysis --- Dataset (TOSSE-R.sav). Presenter : Melody Date: June 1, 2013. Suitable for FA? Based on what? Stages of making a decision on the factors to be extracted What is the convergent validity? discriminant validity?

484 views • 31 slides

Measurement in Psychology: Validity

363 views • 22 slides

Lecture 6: Reliability and validity of scales (cont)

Lecture 6: Reliability and validity of scales (cont). 1. In relation to scales, define the following terms: - Content validity - Criterion validity (concurrent and predictive) - Construct validity (discriminant and convergent) - Responsiveness 2. Use of proxy respondents. Validity.

517 views • 21 slides

Self-Relevant Motivation for Success and Performance Feedback on an Intellectual Task

245 views • 13 slides

Data validation for use in SEM

Data validation for use in SEM. Ned Kock. Validity and reliability. Whenever perception-based variables are used in inferential studies, measurement errors can bias the results.

296 views • 13 slides

Validity

297 views • 12 slides

Face, Content & Construct Validity

Face, Content & Construct Validity. Kinds of attributes we measure Face Validity Content Validity Construct Validity Discriminant Validity ? Convergent & Divergent evidence Summary of Reliability & Validity types and how they are demonstrated.

526 views • 9 slides

Reliability and Validity

Scale Evaluation. Validity. Reliability. Content. Test-Retest. Internal Consistency. Criterion. Alternative Forms. Construct. Convergent Validity. Discriminant Validity. Nomological Validity. Reliability and Validity. Determination of Validity and Reliability.

2.53k views • 5 slides