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Slide 1 ___________________________________ ___________________________________ Chapter Five ___________________________________ Measurement Concepts ___________________________________ ___________________________________


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SLIDE 1

Slide 1

Chapter Five

Measurement Concepts

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Terms

  • Reliability
  • True Score
  • Measurement Error

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How Can we assess Reliability

  • Test-Retest Reliability
  • Internal Consistency Reliability

– Split half reliability – Cronbach’s alpha

  • Inter-rater reliability

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Reliability vs. Validity

  • Reliability-consistency of the measure
  • Validity-truth---does the study measure

what it says it will measure…is it valid

  • ****A measure can be reliable and not

valid, but it canno be valid unless it is reliable.

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  • Construct validity  the adequacy of the
  • perational definitions of variables
  • Criterion-Oriented Validity- examining

the relationship between scores on a measure and some criterion.

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Indicators of Validity

  • Face validity  tells whether the measure

appears to measure what it is suppose to..

  • Four types of Criterion-related research

approaches

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SLIDE 3

Slide 7

Types of Criterion-oriented research approaches

  • Predictive Validity
  • Concurrent Validity
  • Convergent Validity
  • Discriminant Validity

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  • Predictor Validity- research measuring the extent to

which the measure allows you to predict future

  • behaviors. (SAT)
  • Concurrent Validity-examines the relationship between

the measure and a criterion at the same time.

– research whether two or more groups of people differ on a measure in expected ways.

  • Convergent validity  when a measure relates to other

scores of the same or similar constructs in a meaningful and predicted way.

– Shy Q scores and Fear of Negative Evaluation Scale

  • Discriminant validity  the measure should

discriminate between the construct being measured and

  • ther non-related constructs.

– Shy Q and Zuckerman’s Sensation seeking Scale.

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Variables & Measurement Scales

  • Nominal scales  have no numerical or quantitative

properties, they are naming scales, and their only property is identity .

  • Ordinal scales  tell us about the relative order of

magnitude, but they do not give us info about the differences b/t categories or ranks.

  • Interval scale  the measurement conveys info

about the order and the distance b/t the values

  • Ratio scales  have all the properties of the previous

scales and a true zero point that indicates the absence

  • f the variable being measured

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