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Chapter 8 Measurement of Variables

Chapter 8 Measurement of Variables Research Design: Measurement and Measures

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Chapter 8Measurement of VariablesResearch Design: Measurement and Measures

How Variables are MeasuredObjective dataEg weight, absenteeism, temperatureUse appropriate measuring instruments

Subjective dataEg. feelings, attitudes, perceptionsDifficult to measureAbstract concepts to be broken down into obsevable behaviorOperationalise the conceptOperational DefinitionIs a statement of the specific dimensions and elements through which a concept will become measurable. Dimensions (D) and Elements (E) of the Concept (C) Achievement Motivation

Examples of Questions to Tap the level of Achievement MotivationTo what extent would you say you push yourself to get the job done on time? How frequently do you think of your work when you are at home? How much do you concentrate on achieving your goals? How annoyed do you get when you make mistakes? Common Mistakes with Operational DefinitionsExcluding some of the important dimensions and elementsFailure to recognise or conceptualise important dimensionsIncluding certain irrelevant features mistakenly thought to be relevant.

E.g Success in performance cannot be a dimension in achievement motivation.What an Operational Definition is NotAn operational definition does not consist of delineating the reasons, antecedents, consequences or correlates of the conceptRather, it describes its observable characteristics in order to be able to measure the concept. Dimensions (D) and Elements (E) of the Concept (C) Learning

SCALESA scale is a tool or mechanism by which individuals are distinguished as to how they differ from one another on variables of interest to our study.Measurement ScalesNominal ScaleOrdinal ScaleInterval ScaleRatio ScaleNominal Scale

Nominal ScalesNominal scale allows the researcher to assign subjects to certain categories or groups.Example.Please indicate your current martial status.__Married __ Single __ Single, never married __ WidowedThe categories' should be-Mutually Exclusive- Collectively Exhaustive 13Nominal ScaleSplits data into mutually exclusive and collectively exhaustive categoriesZip code of residenceEmployment statusMarital statusGenderRaceReligionEthnicity

Ordinal Scale

Ordinal ScalesOrdinal scales categorize the variables in such a way as to denote the difference among the various categories, it also rank-orders the categories in meaningful ways.Example.

16Interval ScalesInterval scales demonstrate the absolute differences between each scale pointExample.How likely are you to recommend the Santa Fe Grill to a friend?Definitely will not Definitely will1 2 3 4 5 6 71718

Interval Data

Ratio ScalesRatio scales allow for the identification of absolute differences between each scale point, and absolute comparisons between raw responsesExample 1.Please circle the number of children under 18 years of age currently living in your household.0 1 2 3 4 5 6 7 (if more than 7, please specify ___.)1920Ratio DataMarket shareSales (units and dollars)IncomeNumber of salespersons per territoryNumber of full-time employed members of householdNumber of children in household

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