Measurement and Scaling Concepts

Similar documents
Standardized Measurement and Assessment

Tutorial Segmentation and Classification

CHAPTER 4 RESEARCH METHODOLOGY

ANALYSING QUANTITATIVE DATA

Section 9: Presenting and describing quantitative data

CHAPTER 3. Research Methodology

PRINCIPLES AND APPLICATIONS OF SPECIAL EDUCATION ASSESSMENT

Statistics Definitions ID1050 Quantitative & Qualitative Reasoning

Monica H. Swahn, Ph.D., MPH Associate Vice President for Research Professor, Public Health Partnership for Urban Health Research Georgia State

Business Quantitative Analysis [QU1] Examination Blueprint

Saarland University Proseminar Human-Computer Interaction Antonia Scheidel! May 14th, 2009 USABILITY. Introducing Usability Metrics

The Kruskal-Wallis Test with Excel In 3 Simple Steps. Kilem L. Gwet, Ph.D.

Glossary of Terms Ability Accommodation Adjusted validity/reliability coefficient Alternate forms Analysis of work Assessment Band Battery

Credit Risk Models Cross-Validation Is There Any Added Value?

Control Charts for Customer Satisfaction Surveys

CHAPTER 8 T Tests. A number of t tests are available, including: The One-Sample T Test The Paired-Samples Test The Independent-Samples T Test

CHAPTER 8 PERFORMANCE APPRAISAL OF A TRAINING PROGRAMME 8.1. INTRODUCTION

ISO 13528:2015 Statistical methods for use in proficiency testing by interlaboratory comparison

Opening SPSS 6/18/2013. Lesson: Quantitative Data Analysis part -I. The Four Windows: Data Editor. The Four Windows: Output Viewer

The SPSS Sample Problem To demonstrate these concepts, we will work the sample problem for logistic regression in SPSS Professional Statistics 7.5, pa

CHAPTER 5 RESULTS AND ANALYSIS

The process of making an informed hiring decision depends largely on two basic principles of selection.

GRIP: A Generalized Regression Method with Intensities of Preferences for Ranking Alternatives Evaluated on Multiple Criteria

CHAPTER IV RESEARCH METHODOLOGY

CHAPTER VI FUZZY MODEL

Morningstar Direct SM Scorecard

This paper is not to be removed from the Examination Halls

CHAPTER 5 RESEARCH DESIGN AND METHODOLOGY

Chapter 3 Norms and Reliability

Journal of Economic Cooperation and Development, 37, 3 (2016),

IBM SPSS Direct Marketing 24 IBM

UNIVERSIlY OF SWAZILAND. FACULlY OF EDUCATION DEPARTMENT OF EDUCATIONAL FOUNDATIONS AND MANAGEMENT SUPPLEMENTARY EXAMINATION PAPER 2012/2013

Computing Descriptive Statistics Argosy University

Harrison Assessments Validation Overview

CHAPTER FIVE CROSSTABS PROCEDURE

Chapter 5. Job-Based Structures and Job Evaluation

Examples of Statistical Methods at CMMI Levels 4 and 5

PREDICTORS AND TESTING. PSYC C predictors & testing 10/18/11 [Arthur] 1

Statistical Analysis. Chapter 26

Estimation and Confidence Intervals

The Dummy s Guide to Data Analysis Using SPSS

Screening Score Report

Chapter 4 Fuzzy Analytic Hierarchy Process of Green Supply Chain Management in the Pharmaceutical Industry

On of the major merits of the Flag Model is its potential for representation. There are three approaches to such a task: a qualitative, a

Final Project Report CS224W Fall 2015 Afshin Babveyh Sadegh Ebrahimi

10.2 Correlation. Plotting paired data points leads to a scatterplot. Each data pair becomes one dot in the scatterplot.

Introduction to Business Statistics QM 120 Chapter 1

Estimation and Confidence Intervals

Estimation and Confidence Intervals

4.3 Nonparametric Tests cont...

Creating Vision and Strategic Direction

PsychTests.com advancing psychology and technology

Lecture 10. Outline. 1-1 Introduction. 1-1 Introduction. 1-1 Introduction. Introduction to Statistics

4.1 Introduction. 4.2 Research Perspective

A Research Note on Correlation

7 Statistical characteristics of the test

How to Get More Value from Your Survey Data

COURSE CONTENTS. (Effective from the Academic Year onwards)

Applying the Principles of Item and Test Analysis

Models in Engineering Glossary

Chapter 10 Regression Analysis

Chapter 6 Reliability, Validity & Norms

INTERNATIONAL UNION FOR THE PROTECTION OF NEW VARIETIES OF PLANTS

Math Tech 4 Unit 1 Notes Day 1.notebook. August 18, 2013

MKT 450 Final Exam Review

Data Science in a pricing process

Simulation-Based Analysis and Optimisation of Planning Policies over the Product Life Cycle within the Entire Supply Chain

(31) Business Statistics

Perceived Value and Transportation Preferences: A Study of the Ride-Hailing Transportation Sector in Jakarta

CHAPTER 4 RESEARCH OBJECTIVES AND METHODOLOGY

GLOSSARY OF COMPENSATION TERMS

Distinguish between different types of numerical data and different data collection processes.

AMB201: MARKETING & AUDIENCE RESEARCH

Chapter 3. Basic Statistical Concepts: II. Data Preparation and Screening. Overview. Data preparation. Data screening. Score reliability and validity

Getting Started with OptQuest

CHAPTER IV DATA ANALYSIS

5 CHAPTER: DATA COLLECTION AND ANALYSIS

SPSS 14: quick guide

PRELIMINARY DATA ANALYSIS

AP Statistics Scope & Sequence

The Institute of Chartered Accountants of Sri Lanka

The Mullen Scales of Early Learning (Mullen, 1992) is an individually administered,

Business Statistics (BK/IBA) Tutorial 4 Exercises

Near-Balanced Incomplete Block Designs with An Application to Poster Competitions

Questionnaires/Surveys

CHAPTER 3 RESEARCH METHODOLOGY. This research was adapted from a research done in Greek by Efthimia Tsakiridou,

SAGE Publications. Reliability. Achieving consistency in research is as complicated as it is in everyday life. We may often

Detecting outliers in multivariate data while controlling false alarm rate

CHAPTER 4. RESEARCH METHODOLOGY

DRAFT FOR DISCUSSION AND REVIEW, NOT TO BE CITED OR QUOTED

CHAPTER 1 INTRODUCTION TO STATISTICS

Statistics 511 Additional Materials

Sawtooth Software Conference

AN ASSESSMENT OF THE INTERNAL CONSISTENCY OF MEASURES OF CONSTRUCTS USED TO REVISE THE INNOVATION DECISION FRAMEWORK

KeyMath Revised: A Diagnostic Inventory of Essential Mathematics (Connolly, 1998) is

CUSTOMER SATISFACTION WITH MOBILE OPERATORS SERVICES IN LITHUANIAN RURAL AREAS

Continuous Improvement Toolkit

Conceptualizing is where you define your research problem and explain the constructs and theories that are relevant. Conceptual definitions explain

Evolutionary Algorithms

SPRING Masters of Business Administration SEMESTER-III. SUBJECT CODE & NAME-MBA301 & Research Methodology SET- 1

Transcription:

Business Research Methods 9e Zikmund Babin Carr Griffin Measurement and Scaling Concepts 13 Chapter 13 Measurement and Scaling Concepts 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.

LEARNING OUTCOMES 1. Determine what needs to be measured to address a research question or hypothesis 2. Distinguish levels of scale measurement 3. Know how to form an index or composite measure 4. List the three criteria for good measurement 5. Perform a basic assessment of scale reliability and validity 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13-2

Money Matters? A company wants to perform a customer relationship management (CRM) employee evaluation process that will allow an overall ranking of all CRM employees. Key question is, What is performance? 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13-3

What Do I Measure? Measurement The process of describing some property of a phenomenon, usually by assigning numbers in a reliable and valid way. Concept A generalized idea about a class of objects, attributes, occurrences, or processes 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 4

EXHIBIT 13.1 Are There Any Validity Issues with This Measurement? 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 5

Operational Definitions Operationalization The process of identifying scales that correspond to variance in a concept involved in a research process. Scales A device providing a range of values that correspond to different characteristics or amounts of a characteristic exhibited in observing a concept. Correspondence rules Indicate the way that a certain value on a scale corresponds to some true value of a concept. Constructs Concepts measured with multiple variables. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 6

Peer Pressure and Investing Behavior Some individuals are more susceptible to peer pressure than others even for less visible products and services, such as investments. Researchers examined the construct susceptibility to interpersonal influence (SCII) and found it does influence investment behavior. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13-7

Levels of Scale Measurement Nominal Assigns a value to an object for identification or classification purposes. Most elementary level of measurement. Ordinal Ranking scales allowing things to be arranged based on how much of some concept they possible. Have nominal properties. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 8

EXHIBIT 13.4 Nominal, Ordinal, Interval, and Ratio Scales Provide Different Information 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 9

Levels of Scale Measurement (cont d) Interval Capture information about differences in quantities of a concept. Have both nominal and ordinal properties. Ratio Highest form of measurement. Have all the properties of interval scales with the additional attribute of representing absolute quantities. Absolute zero. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 10

Mathematical and Statistical Analysis of Scales Discrete Measures Measures that can take on only one of a finite number of values. Continuous Measures Measures that reflect the intensity of a concept by assigning values that can take on any value along some scale range. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 11

Index Measures Attributes Single characteristics or fundamental features that pertain to an object, person, or issue. Index Measures Assign a value based on how much of the concept being measured is associated with an observation. Indexes often are formed by putting several variables together. Composite Measures Assign a value to an observation based on a mathematical derivation of multiple variables. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 12

Computing Scale Values Summated Scale A scale created by simply summing (adding together) the response to each item making up the composite measure. Reverse Coding Means that the value assigned for a response is treated oppositely from the other items. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 13

Recoding Made Easy 1. Click on transform. 2. Click on recode. 3. Choose to recode into the same variable. 4. Select the variable(s) to be recoded. 5. Click on old and new values. 6. Use the menu that appears to enter the old values and the matching new values. Click add after entering each pair. 7. Click continue. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13-14

Three Criteria for Good Measurement Reliability Validity Good Measurement Sensitivity 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 15

Reliability Reliability The degree to which measures are free from random error and therefore yield consistent results. An indicator of a measure s internal consistency. Internal Consistency Represents a measure s homogeneity or the extent to which each indicator of a concept converges on some common meaning. Measured by correlating scores on subsets of items making up a scale. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 16

Internal Consistency Split-half Method Assessing internal consistency by checking the results of one-half of a set of scaled items against the results from the other half. Coefficient alpha (α) The most commonly applied estimate of a multiple item scale s reliability. Represents the average of all possible split-half reliabilities for a construct. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 17

Test-Retest Reliability Test-retest Method Administering the same scale or measure to the same respondents at two separate points in time to test for stability. Represents a measure s repeatability. Problems: The pre-measure, or first measure, may sensitize the respondents and subsequently influence the results of the second measure. Time effects that produce changes in attitude or other maturation of the subjects. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 18

Validity Validity The accuracy of a measure or the extent to which a score truthfully represents a concept. Does a scale measure what was intended to be measured? Establishing Validity: Is there a consensus that the scale measures what it is supposed to measure? Does the measure correlate with other measures of the same concept? Does the behavior expected from the measure predict actual observed behavior? 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 19

Validity (cont d) Face Validity A scale s content logically appears to reflect what was intended to be measured. Content Validity The degree that a measure covers the breadth of the domain of interest. Criterion Validity The ability of a measure to correlate with other standard measures of similar constructs or established criteria. Construct Validity Exists when a measure reliably measures and truthfully represents a unique concept. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 20

Validity (cont d) Convergent Validity Another way of expressing internal consistency; highly reliable scales contain convergent validity. Discriminant Validity Represents how unique or distinct is a measure; a scale should not correlate too highly with a measure of a different construct. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 21

EXHIBIT 13.7 Reliability and Validity on Target 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 22

Sensitivity Sensitivity A measurement instrument s ability to accurately measure variability in stimuli or responses. Generally increased by adding more response points or adding scale items. 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 13 23