The Theory of Measurement 0378 – Methods I Quantitative Research Methods Florian Schausberger Measurement § Measurement is the process of observing and recording the observations that are collected as part of a research effort. § 3 sections Levels of Measurement Construct Validity Reliability SEITE 2 The meaning of the four major levels of measurement What constitutes a good measure? Consistency and Dependability of Measurement Levels of Measurement „The level of measurement refers to the relationship among the values that are assigned to the attributes for a variable.“ SEITE 3 Levels of Measurement (2) Nominal • Variables that can be named; one is not necessarily greater or less than the next SEITE 4 Ordinal • These indicate order or ranking, but they do not tell us the difference between rankings; the distance is not meaningful Interval • Interval also has order, but the distance between the scores is equivalent and meaningful; Ratio • Has order, equal intervals and a true zero. Levels of Measurement (3) Nominal Ordinal Interval Ratio Mode, counts, frequency Yes Yes Yes Yes Median, Minimum, Maximum, Range No Yes Yes Yes Mean, Variance, Standard deviation No No Yes Yes s SEITE 5 The hierarchy of measurement levels SEITE 6 Construct Validity § Construct Validity refers to the degree to which inferences can legitimately be made from the operationalizations in your study to the theoretical constructs on which these operationlizations are based. § That is, does a test measure the construct as it claims to measure. § e.g. does an intelligence test measure intelligence? We can‘t observe intelligence as such, yet we have an idea of what intelligence means. SEITE 7 Measurement Validity Types Construct Validity Translation Validity Criterion-related Validity Face Validity Predictive Validity Content Validity Concurrent Validity Convergent Validity Discriminant Validity SEITE 8 Translation Validity Translation Validity A type of validity construct related to how well you translated the idea of your measure into its operationalization. That is, it the operationalization a good reflection of the construct? Face Validity A type of validity that „on its face“ the operationalization seems like a good translation of the construct (prima facie) Content Validity A check of the operationalization against the relevant content domain for the construct. SEITE 9 Criterion-related Validity Criterion-related Validity The validation of a measure based on its relationship to another independent measure as predicted by your theory of how the measure should behave. Predictive Validity A type of construct validity based on the idea that your measure is able to predict what it theoretically should be able to predict. Concurrent Validity Any operationalization‘s ability to distinguish between groups that it should theoretically be able to distinguish between. SEITE 10 Criterion-related Validity (2) SEITE 11 Convergent Validity The degree to which the operationalization is similar to (or converges on) other operationalizations to which it should be theoretically similar. Discriminant Validity The degree to which the operationalization is not similar to (diverges from) other operationalizations that it theoretically should not be similar to. Definitionalist vs. Relationalist Views A Definitionalist Perspective A Relationalist Perspective Either you have operationalized the construct correctly or you haven‘t. Recognizes that the meaning of constructs differs relatively, not absolutely. A Relationalist View: SEITE 12 Convergent Validity SEITE 13 Discriminant Validity SEITE 14 Putting it all together … SEITE 15 The Nomological Network SEITE 16 The MTMM-Matrix (Multitrait-Multimethod) SEITE 17 A Modified MTMM § … leaving out the methods factor SEITE 18 The Theory of Pattern Matching Pattern Matching SEITE 19 Pattern Matching means the degree of correspondence between two patterns. Do things, as they operate in reality, correspond to the theoretical pattern, how the world should work? Threats to Construct Validity § Design Threats § Inadequate Preoperational Explication of Constructs § Mono-Operation Bias § Mono-Method Bias § Interaction of Different Treatments § Interaction of Testing and Treatments § Restricted Generalizability across Constructs § Confounding Constructs and Levels of Constructs SEITE 20 Threats to Construct Validity (2) § The Social Threats to Construct Validity § Hypothesis Guessing § Evaluation Apprehension § Experimenter Expectancies SEITE 21 Reliability § Reliability refers to the degree to which a measure is consistent and dependable; the degree to which it would give you the same result over and over again, assuming the underlying phenomenon is not changing. SEITE 22 True Score Theory SEITE 23 Random and Systematic Error in Measurement SEITE 24 Estimating Reliability = correlation Standard Deviation SEITE 25 SD refers to the spread or variability of the scores around their average in a single sample. SD measures dispersion and is measured in the same units as the original measure. Types of Reliability Test-Retest Reliability Inter-rater or Inter-Observer Reliability Internal Consistency Reliability Parallel-Forms Reliability Consistency of the results of two tests constructed in the same way from the same domain SEITE 26 Consistency of results across items within a test Average Interitem Correlations SEITE 27 Split-half Reliability SEITE 28 Cronbach‘s Alpha SEITE 29 Validity and Reliability The shooting-target metaphor SEITE 30 Thank you