Presentation on theme: "Scales and Indices Scales and Indices combine several categories in a question or several questions into a “composite measure” that represents a larger."— Presentation transcript:
1Scales and IndicesScales and Indices combine several categories in a question or several questions into a “composite measure” that represents a larger conceptUses questionnaire materials efficientlyWhy used?
2Why Composite Measures Cannot arrive at a single question that has closed ended answers that adequately describes a conceptExample—religion may have many aspects such as church attendance, belief in God, etc.May want to analyze several dichotomous variables together, efficiently
3Indices and Scales Both are measures that have “rank order” Both are composites of questions or other variables
4How do they differ?An index is constructed as a simple sum of effects or values through accumulation of scores or numbers. It is a sum of concepts.A scale is constructed by assigning scores to a range of intensities of response. Is a measure of intensity of a single concept.
5Logic of Construction See page 150 of the text Index—each respondent type is assigned a score based on the attribute to be scored, these are summed and a value (a number) is assigned and analysis is done on the number not the respondent typeScale—the responses are arrayed in order of intensity of some attribute and the intensity measure (a number) is used in analysis
6Index Construction Select the items to be indexed Assign a value to each, can be weighted but need contributory factor analysis to do thisAdd the number of responses with a value for each respondent and construct an index value for the respondentMust have face validityUnidimensional (unlike scales)Variance
7Index ConstructionBivariate relationship—should be related statistically significantly related, this is a crosstab and significance testing issueMust add something to the concept or the explanation of the concept indexedMissing data eliminated before the index formedMust have Item validation and index validation—do the measure and it’s components measure what they purport to and are they sufficient measures
8Likert Scales Really indices No equal measure between levels Likely, less likely, not likely formatAssigned values to each level of the “scale” and you have an equivalent to an index
9Scale Construction Ordinal ranking by intensity of a single variable Equal importance to each rank in the scale thus a measure of intensity of the concept or the variable used to represent itExamples—intensity of belief or attitude rather than likely/less likely format
10Thurstone Scales Measure using equal intervals Assigns scores to the intensity of a specific conceptExample 1 to 10—how happy are you right now (0?) How prejudiced are you?Scales can have zero and negative values, indices cannot
11Guttman ScalesA type of composite measure used to summarize Several discrete and quantifiable observations and to represent some more general variable or conceptExample—scientific orientation would combine 4 questions about specific intensity attitutes and sum then for a scale of scientific orientation
12Typology Multi-dimensional arrays of attitudes or opinions Usually independent variables arranged in a grid fashion that were originally dichotomous in nature
13Uses of Scales and Indices Example—concept of women’s empowermentMultiple questions are involved which each discuss an aspect of women’s power to act and decide for themselvesThe importance of each must first be evaluated to give a power or intensity to eachThey are added and a scale (or if not intensified, an index) is born
14Uses Makes concepts out of groups of attributes or opinions, actions Gives intensity and scalability