McGraw-Hill/IrwinCopyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. MEASUREMENT Chapter 11
11-2 Learning Objectives Understand... The distinction between measuring objects, properties, and indicants of properties. The similarities and differences between the four scale types used in measurement and when each is used. The four major sources of measurement error. The criteria for evaluating good measurement.
11-3 Pull Quote “You’re trying too hard to find a correlation here. You don’t know these people, you don’t know what they intended. You try to compile statistics and correlate them to a result that amounts to nothing more than speculation.” Marc Racicot, former governor of Montana and chairman of the Republican Party
11-4 Review of Terms Concept ConstructVariable Operational Definition
11-5 Measurement Select measurable phenomena Develop a set of mapping rules Apply the mapping rule to each phenomenon
11-6 Characteristics of Measurement
11-7 Types of Scales Ordinal interval Nominal Ratio
11-8 Levels of Measurement Ordinal interval Ratio Nominal Classification
11-9 Nominal Scales Mutually Exclusive Collectively Exhaustive Categories Classification Only
11-10 Levels of Measurement interval Ratio Nominal Classification Ordinal Order Classification
11-11 Ordinal Scales Nominal Scale Characteristics Order Implies greater than or less than
11-12 Levels of Measurement Ordinal Ratio Nominal Classification Order Classification interval Order Classification Distance
11-13 Interval Scales Ordinal Scale Characteristics Equality of interval Equality of distance between numbers
11-14 Levels of Measurement Ordinal interval Nominal Classification Order Classification Order Classification Distance Ratio Order Classification Distance Natural Origin
11-15 Ratio Scales Interval Scale Characteristics Absolute Zero
11-16 Examples of Data Scales
11-17 From Investigative to Measurement Questions
11-18 Sources of Error Respondent InstrumentMeasurer Situation
11-19 Evaluating Measurement Tools Criteria Validity Practicality Reliability
11-20 Validity Determinants Content ConstructCriterion
11-21 Increasing Content Validity Content Literature Search Expert Interviews Group Interviews Question Database Etc.
11-22 Validity Determinants Content Construct
11-23 Increasing Construct Validity New measure of trust Known measure of trust Empathy Credibility
11-24 Validity Determinants Content ConstructCriterion
11-25 Judging Criterion Validity Relevance Freedom from bias Reliability Availability Criterion
11-26 Summary of Validity Estimates
11-27 Understanding Validity and Reliability
11-28 Reliability Estimates Stability Internal Consistency Equivalence
11-29 Reliability Estimates Stability Equivalence Internal Consistency
11-30 Reliability Estimates Stability Internal Consistency Equivalence
11-31 Summary of Reliability Estimates
11-32 Practicality EconomyInterpretabilityConvenience
11-33 Key Terms Internal validity Interval scale Mapping rules Measurement Nominal scale Objects Ordinal scale Practicality Properties Ratio scale Reliability Equivalence Internal consistency Stability Validity Construct Contents Criterion-related
McGraw-Hill/IrwinCopyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. ADDITIONAL DISCUSSION OPPORTUNITIES Chapter 11
11-35 Snapshot: Tivo Households Emmy winning shows Ad-skipping behaviors View involvement increases ad skipping View involvement increases ad skipping
11-36 Snapshot: Talent Analytics “Initially, many [HR] assessments were used primarily for pre-hire selection; today, assessment providers offer strategic resources for global organizations that want to build their overall knowledge of their employees beyond hiring—for development, promotion, internal mobility and succession planning.”
11-37 Pull Quote “The only man who behaved sensibly was my tailor; he took my measurement anew every time he saw me, while all the rest went on with their old measurements and expected them to fit me.” George Bernard Shaw playwright and essayist
11-38 PulsePoint: Research Revelation 32.5 The percent of corporations using or planning to use cloud computing—using software and server space via Internet sources.
McGraw-Hill/IrwinCopyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. MEASUREMENT Chapter 11
11-40 Photo Attributions