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What is measurement in psychology?
• Measurement is assigning values from an instrument to individuals that represent a characteristic
• Psychometrics refers to the study of measuring psychological variables and constructs
What is a construct?
• Constructs refer to variables that are not directly observable but can be measured using instrumentation
• Examples of constructs
• Personality traits, emotional states, attitudes, learning, thinking patterns
• Operational definitions
• Method of ascribing a value (quantitative) or description (qualitative) to the measurement of a construct
• Quant: stress → Using the scores of Perceived Stress Scale (PSS)
• Qual: stress → using thematic analysis to differentiate coping strategies
Operational Definitions
• Operationalization refers to providing a definition of a variable or construct in terms of how it will be measured in your study
• Types of measures:
• Self-report: participants report their own thoughts, feelings, and behaviors
• Behavioral: researcher observes and records behavioral patterns
• Physiological: research measures, or records, a physiological process or reaction
Levels of Measurement
Nominal (categorical)
Ordinal (rank-order)
Interval
Ratio
Levels of Measurement: Nominal (Categorical)
Variables that consist of only categories with no inherent numerical value
Ex: Gender, sex, religion
Levels of Measurement: Ordinal (Rank-order)
Variables that consist of categories with a numerical rank
Ex: Class standing, finishing a race, letter grade
Levels of Measurement: Interval
Numeric variable that has equal distance between scores; 0 is arbitrary
Ex: GPA, depression inventory,
Levels of Measurement:
Interval scale with an absolute zero
Ex: Height, weight
Reliability
the extent to which scores on a measure are consistent across time and within items on a measure
• Test-retest reliability: across time
• Internal consistency: Cronbach’s Alpha
• Interrater reliability: comparison of raters’ scores
Validity
the text to which scores on a measure actually represent the variable or construct intended
• Face validity – does it look valid
• Content validity – does it measure all aspects of the construct its measuring?
• Criterion validity – how related are the scores on the measure to the scores on another related measure?
• Discriminant validity – how dissimilar is the measure compared to other constructs’ measures?