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Making Systematic Observations

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Ability of a measure to produce similar results on repeated occasions. ... Population Estimates: average values between samples (with reasonable margin of errors) ... – PowerPoint PPT presentation

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Title: Making Systematic Observations


1
Making Systematic Observations
  • Reliability, Validity, Scale of Measurements,
    Types of Measures, Reactivity in Research

2
Reliability
  • Ability of a measure to produce similar results
    on repeated occasions.
  • Physical Measures precision is important
  • Population Estimates average values between
    samples (with reasonable margin of errors)
  • Multiple Observers Interrater reliability
  • Tests or Measures
  • test-retest reliability parallel forms
    reliability split-half reliability

3
Accuracy of a measure
  • Accuracy Does the measure produce results that
    agree with a known standard?
  • Can be compromised by lack of precision, but can
    still be accurate if observations agree with the
    standard on average
  • However precision is not necessarily accuracy
  • Discrepancies between the standard value is
    called a bias.
  • Ex False-Uniqueness Bias.
  • The need for standardization for psychological
    measurements.

4
Validity
  • Does the measure/test measure what it is intended
    to measure?
  • Face validity judging by its appearance.
  • Ex Math questions on math tests.
  • Content validity Do items (content) represent
    the characteristic/behaviors that the measure was
    designed to look for?
  • Ex An employment test that entails skills
    necessary for the particular job.
  • Criterion-related validity Can the score of one
    measure be used to infer the value on some other
    measure? (two types concurrent validty
    predictive validity)

5
Validity (cont).
  • Construct Validity Do high scores or low scores
    on a test indicate what they are supposed to as
    predicted by the theory?
  • Ecological validity The extent to which results
    can be applied to the natural setting.
  • Similar to external validity.

6
Four Scales of Measurements
  • Scaling the data along four scales of
    measurement, depending on needs of research
    question.
  • Nominal Scales Ex Yes or No
  • Ordinal Scales Ex Not much, Moderately, A lot
  • Interval Scales Ex thermometer
  • Ratio Scale Ex Absolute Zero (in Kelvin Scale)
  • Need can vary by the amount information you want
    and the need to preserve ecological validity.

7
Types of dependent measures
  • Behavioral Measures Records actual behaviors of
    participants
  • presence or absence of behavior
  • Frequency of behavior
  • latency and reaction time
  • error behaviors (learning experiment)
  • Physiological Measures Ex heart rate,
    respiration rate, brain activity, eye movement,
    etc.
  • Self-report Measures Used to assess behaviors
    and attitudes, commonly using rating scales.

8
Reactivity in Research
  • Design must consider how participants would react
    to the experimental situation
  • Validity can be affected by Demand
    Characteristics
  • defn Expected responses of the participant due
    to cues provided by the researcher and the
    context that may communicate the purpose of the
    study)
  • Role attitude cues change in participants
    attitude to conform with role as a research
    participant (cooperative, apprehensive, negative
    attitudes)
  • Experimenter bias expectancy effects
  • Mitigating experimenter bias through single-blind
    and double-blind studies

9
Detecting and Correcting Problems
  • Pilot study
  • Clarifying instructions
  • Minimize range effects
  • Determining reliability and validity
  • Manipulation checks Did the participants
    perceive the experiment in the manner in which it
    was intended?
  • Validity of the independent variable
  • Ask participants to report their perception of
    the purpose of the study, of the experimenter,
    and other factors that are important.
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