Interactive Powerpoint_How to Master effective communication
Lecture 07
1. LECTURE SEVEN MEASUREMENT OF VARIABLES: OPERATIONAL DEFINITION AND SCALES
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6. D C Learning Understanding Retention Application Answer questions correctly Give appropriate examples Recall material after some lapse of time Solve problems applying concepts understood and recalled Integrate with other relevant material D D E E E E E EXAMPLE OF OPERATIONAL DEFINITION: DIMENTION (D) (INDICATORS) AND ELEMENT (E) (VARIABLES) OF THE CONCEPT (C) LEARNING
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16. PROPERTIES OF FOUR SCALES t, F Standard deviation or variance, or coefficient of variation Arithmetic or Geometric Mean Yes Yes Yes Yes Ratio t, F Standard deviation, variance, coefficient of variation Arithmetic Mean No Yes Yes Yes Interval Rank-order correlation Semi-inter-quartile range Median No No Yes Yes Ordinal Chi-square Test ( X 2 ) ________ Mode No No No Yes Nominal Some Tests of Significance Measure of Dispersion Measures of Central Tendency Unique Origin Distance/ Magnitude Order/ Rank Difference/ Category Scales Highlights Statistical Tools
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44. CONTENT VALIDITY It ensures that the measure includes an adequate and representative set of items that tap the concept. The more the scale items represent the domain (circle of affection) or universe of the concept being measured, the greater the content validity. FACE VALIDITY It is considered by some as a basic and a very minimum index of content validity. Face validity indicates that the items that are intended to measure a concept, so on the face of it look like they measure the concept.
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47. TESTING GOODNESS OF MEASURES Goodness of data Reliability (accuracy In Measure- ment) Validity (we are Measuring The right Thing) Stability Consistency Test-retest reliability Interitem consistency reliability Parallel-form reliability Split-half reliability Logical validity (content) Criterion-related validity Congruent validity (construct) Face validity Convergent Predictive Concurrent Discriminant
48. TYPES OF VALIDITY Does the measure have a low correlation with a variable that is supposed to be unrelated to this variable? Discriminant Validity Do two instruments measuring the concept correlate highly? Convergent Validity Does the instrument tap the concept as theorized? Construct Validity Does the measure differentiate individuals in as manner as to help predict a future criterion? Predictive Validity Does the measure differentiate in a manner that helps to predict a criterion variable currently? Concurrent Validity Does the measure differentiate in a manner that helps to predict a criterion variable. Criterion-related Validity Do “experts” validate that the instrument measures what its name suggests it measures? Face Validity Does the measure adequately measure the concept? Content Validity Description Validity