Measurement
Download
1 / 16

Measurement - PowerPoint PPT Presentation


  • 83 Views
  • Uploaded on

Measurement. Neuman and Robson Ch. 6. What is it?. The process of creating measurable concrete variables from abstract concepts Extends the senses (empirical) Tends to be more of a concern for quantitative researchers. Quantitative vs. Qualitative Measurement Differences. Timing

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Measurement' - miliani


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Measurement

Measurement

Neuman and Robson

Ch. 6


What is it
What is it?

  • The process of creating measurable concrete variables from abstract concepts

  • Extends the senses (empirical)

  • Tends to be more of a concern for quantitative researchers


Quantitative vs qualitative measurement differences
Quantitative vs. QualitativeMeasurement Differences

  • Timing

  • Type of data collected

  • Linkage of concepts to data (pre-planned vs. reflective/interactive)


The measurement process
The Measurement Process

  • Quantitative = deductive

  • Qualitative = inductive

  • Both involve conceptualization and operationalization


Steps
Steps

  • identify concept of interest

  • develop conceptual definition

    • decide on units of analysis

  • operationalize to create a variable

    • links concept to measurement technique



Process of qualitative operationalization
Process of Qualitative Operationalization:

Empirical Observations

Working Ideas

Concepts

Generalizations/Theories


Reliability and validity
Reliability and Validity

  • Reliability = the consistency or dependency of a measure

    • Does the measure consistently give the same results?

  • Validity = truthfulness of a measure

    • Is it measuring what the researcher thinks it is measuring?


Types of reliability
Types of Reliability

  • inter-observer

  • inter-item

  • test-retest

  • parallel forms


Improving reliability
Improving Reliability

  • Clear conceptualization

  • Use of most precise (or highest) level of measurement possible

  • Use of multiple indicators

  • Use of pretests, pilot studies, replication


Validity
Validity

  • face validity

  • content validity

  • criterion validity

    • Predictive validity

    • Concurrent validity



Internal and external validity
Internal and External Validity

  • Internal Validity

    • Can alternative explanations for change in the dependent variable be eliminated?

  • External Validity

    • Generalizability

  • Statistical Validity

    • Was the correct test used?


Quantitative variable construction
Quantitative Variable Construction:

  • a) Continuous vs. Discrete categories

  • b) Levels of measurement:

    • nominal

    • ordinal

    • interval/ratio


Scale or index construction
Scale or Index Construction

  • Composite Measures

  • Index vs. Scales

  • Mutually exclusive and exhaustive attributes

  • Unidimensionality

  • Reproducibility


Common scales and indexes
Common Scales and Indexes

  • Likert Scale

  • Bogardus Social Distance Scale

  • Semantic Differential

  • Guttman Scale

  • Click Here for more detail on measurement.


ad