Data Collection - Patricia Pulliam Phillips - E-Book

Data Collection E-Book

Patricia Pulliam Phillips

0,0
39,99 €

-100%
Sammeln Sie Punkte in unserem Gutscheinprogramm und kaufen Sie E-Books und Hörbücher mit bis zu 100% Rabatt.

Mehr erfahren.
Beschreibung

Data Collection Data Collection is the second of six books in the Measurement and Evaluation Series from Pfeiffer. The proven ROI Methodology--developed by the ROI Institute--provides a practical system for evaluation planning, data collection, data analysis, and reporting. All six books in the series offer the latest tools, most current research, and practical advice for measuring ROI in a variety of settings. Data Collection offers an effective process for collecting data that is essential to the implementation of the ROI Methodology. The authors outline the techniques, processes, and critical issues involved in successful data collection. The book examines the various methods of data collection, including questionnaires, interviews, focus groups, observation, action plans, performance contracts, and monitoring records. Written for evaluators, facilitators, analysts, designers, coordinators, and managers, Data Collection is a valuable guide for collecting data that are adequate in quantity and quality to produce a complete and credible analysis.

Sie lesen das E-Book in den Legimi-Apps auf:

Android
iOS
von Legimi
zertifizierten E-Readern

Seitenzahl: 210

Veröffentlichungsjahr: 2016

Bewertungen
0,0
0
0
0
0
0
Mehr Informationen
Mehr Informationen
Legimi prüft nicht, ob Rezensionen von Nutzern stammen, die den betreffenden Titel tatsächlich gekauft oder gelesen/gehört haben. Wir entfernen aber gefälschte Rezensionen.



Table of Contents

Cover

About This Book

Why This Book Is Important

What This Book Achieves

How This Book Is Organized

The Measurement and Evaluation Series

Introduction to the Measurement and Evaluation Series

The Need

Audience

Flow of the Books

Terminology: Programs, Projects, Solutions

Features

About Pfeiffer

Title

Copyright

Acknowledgments from the Editors

Principles of the ROI Methodology

1 Using Questionnaires and Surveys

Types of Questions

Questionnaire Design Steps

Improving the Response Rate for Questionnaires and Surveys

Final Thoughts

2 Using Tests

Types of Tests

Simulations

Informal Tests

Final Thoughts

3 Using Interviews, Focus Groups, and Observation

Interviews

Focus Groups

Observations

Final Thoughts

4 Using Other Data Collection Methods

Business Performance Monitoring

Action Planning

Performance Contracts

Final Thoughts

5 Measuring Reaction and Planned Action

Why Measure Reaction and Planned Action?

Importance of Other Levels of Evaluation

Areas of Feedback

Data Collection Issues

Uses of Reaction Data

Final Thoughts

6 Measuring Learning and Confidence

Why Measure Learning and Confidence?

Measurement Issues

Administrative Issues

Uses of Learning Data

Final Thoughts

7 Measuring Application and Implementation

Why Measure Application and Implementation?

Challenges

Measurement Issues

Data Collection Methods

Barriers to Application

Uses of Application Data

Final Thoughts

8 Measuring Impact and Consequences

Why Measure Business Impact?

Effective Impact Measures

Data Collection Methods

Final Thoughts

9 Selecting the Proper Data Collection Method

Matching Exercise

Selecting the Appropriate Method for Each Level

Final Thoughts

Index

About the Authors

Pfeiffer Publications Guide

What will you find on pfeiffer.com?

Measurement and Evaluation Series

Special Offer from the ROI Institute

End User License Agreement

List of Tables

Introduction to the Measurement and Evaluation Series

Table I.1 Terms and Applications

2 Using Tests

Table 2.1. Reporting Format for Data from a Criterion-Referenced Test

5 Measuring Reaction and Planned Action

Table 5.1. Noncontent Issues Versus Content Issues for a Marketing Event

7 Measuring Application and Implementation

Table 7.1. Examples of Action Areas for Application of Program Learning

8 Measuring Impact and Consequences

Table 8.1. Examples of Hard Data

Table 8.2. Examples of Soft Data

Table 8.3. Typical Impact Measures in ROI Applications

List of Illustrations

Principles of the ROI Methodology

Figure P.1. The ROI Process Model

5 Measuring Reaction and Planned Action

Figure 5.1. Correlations Between Reaction and Application Data

6 Measuring Learning and Confidence

Figure 6.1. Relationship Between Validity and Reliability

Guide

Cover

Table of Contents

Begin Reading

Pages

cover

contents

i

ii

iii

iv

v

vi

vii

viii

ix

x

xi

xii

xxiii

xxiv

xxv

xxvi

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

23

24

25

26

27

28

29

30

31

32

33

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

61

62

63

64

65

66

67

68

69

71

72

73

74

75

76

77

78

79

80

81

82

83

84

85

86

87

88

89

90

91

92

93

94

95

96

97

98

99

100

101

102

103

104

105

106

107

108

109

110

111

112

113

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

153

154

155

157

158

159

160

161

162

163

164

About This Book

Why This Book Is Important

This second book in the M&E Series begins with a brief introduction to the ROI process model and the Twelve Guiding Principles. It goes on to explain, in detail, one of the most critical activities in the evaluation process: data collection. Data are collected during every step of the ROI Methodology, and how and when these data are collected are crucial to successful program evaluation. This book provides detailed information about data collection methods and how and when to collect data at each evaluation level.

What This Book Achieves

This guide details how to develop or use each of the following data collection tools:

Surveys

Questionnaires

Tests

Simulations

Interviews

Focus groups

Direct observation

Performance monitoring

Action plans

Performance contracts

In addition, this book explains how to select the appropriate data collection method for any situation and any level of evaluation.

How This Book Is Organized

This book begins by introducing and describing each data collection method and ends by discussing the methods that are best for each evaluation level. Chapter One details how to design effective questionnaires and surveys in order to maximize response rates. It also provides tips for presenting questionnaires to participants in ways that will encourage them to provide valuable data. Chapter Two discusses the major types of tests, including how to develop and administer them. When and how to use simulations to collect data are also explained.

Chapter Three explores how to conduct interviews and focus groups for optimal results, including question development and interview techniques. Guidelines for effective observation are also provided. Chapter Four explains how to use business performance monitoring, action planning, and performance contracts to collect data.

Chapter Five focuses on measuring reaction and planned action and the importance of gathering participant feedback. Chapter Six discusses the reasons for measuring learning data and then describes how to use the data. Measurement and administrative issues involved in data collection at this level are also explored.

Chapter Seven explains the importance of collecting application and implementation data. The challenges and issues of collecting application data are explored, and appropriate data collection methods are also discussed. Chapter Eight explores the critical reasons for collecting impact data. Effective impact measures, appropriate data collection measures, and linking the measures to business needs are all discussed in this chapter.

Finally, Chapter Nine illustrates how to select the appropriate data collection method for each program and each level of evaluation.

The Measurement and Evaluation Series

Editors

Patricia Pulliam Phillips, Ph.D.

Jack J. Phillips, Ph.D.

Introduction to the Measurement and Evaluation Series

The ROI Six Pack provides detailed information on developing ROI evaluations, implementing the ROI Methodology, and showing the value of a variety of functions and processes. With detailed examples, tools, templates, shortcuts, and checklists, this series will be a valuable reference for individuals interested in using the ROI Methodology to show the impact of their projects, programs, and processes.

The Need

Although financial ROI has been measured for over one hundred years to quantify the value of plants, equipment, and companies, the concept has only recently been applied to evaluate the impact of learning and development, human resources, technology, quality, marketing, and other support functions. In the learning and development field alone, the use of ROI has become routine in many organizations. In the past decade, hundreds of organizations have embraced the ROI process to show the impact of many different projects and programs.

Along the way, professionals and practitioners need help. They need tools, templates, and tips, along with explanations, examples, and details, to make this process work. Without this help, using the ROI Methodology to show the value of projects and programs is difficult. In short, practitioners need shortcuts and proven techniques to minimize the resources required to use this process. Practitioners’ needs have created the need for this series. This series will provide the detail necessary to make the ROI Methodology successful within an organization. For easy reference and use, the books are logically arranged to align with the steps of the ROI Methodology.

Audience

The principal audience for these books is individuals who plan to use the ROI Methodology to show the value of their projects and programs. Such individuals are specialists or managers charged with proving the value of their particular project or program. They need detailed information, know-how, and confidence.

A second audience is those who have used the ROI Methodology for some time but want a quick reference with tips and techniques to make ROI implementation more successful within their organization. This series, which explains the evaluation process in detail, will be a valuable reference set for these individuals, regardless of other ROI publications owned.

A third audience is consultants and re-searchers who want to know how to address specific evaluation issues. Three important challenges face individuals as they measure ROI and conduct ROI evaluations: (1) collecting post-program data, (2) isolating the effects of the program, and (3) converting data to monetary values. A book is devoted to each of these critical issues, allowing researchers and consultants to easily find details on each issue.

A fourth audience is those who are curious about the ROI Methodology and its use. The first book in this series focuses specifically on ROI, its use, and how to determine whether it is appropriate for an organization. When interest is piqued, the remaining books provide more detail.

Flow of the Books

The six books are presented in a logical sequence, mirroring the ROI process model. Book one, ROI Fundamentals: Why and When to Measure ROI, presents the basic ROI Methodology and makes the business case for measuring ROI as it explores the benefits and barriers to implementation. It also examines the type of organization best suited for the ROI Methodology and the best time to implement it. Planning for an ROI evaluation is also explored in this book.

Book two, Data Collection: Planning For and Collecting All Types of Data, details data collection by examining the different techniques, processes, and issues involved in this process, with an emphasis on collecting post-program data. It examines the different data collection methods: questionnaires, interviews, focus groups, observation, action plans, performance contracts, and monitoring records.

Book three, Isolation of Results: Defining the Impact of the Program, focuses on the most valuable part of the ROI Methodology and the essential step for ensuring credibility. Recognizing that factors other than the program being measured can influence results, this book shows a variety of ways in which the effects of a program can be isolated from other influences. Techniques include comparison analysis using a control group, trend line analysis and forecasting methods, and expert input from a variety of sources.

Book four, Data Conversion: Calculating the Monetary Benefits, covers perhaps the second toughest challenge of ROI evaluation: placing monetary value on program benefits. To calculate the ROI, data must be converted to money, and Data Conversion shows how this conversion has been accomplished in a variety of organizations. The good news is that standard values are available for many items. When they are not, the book shows different techniques for converting them, ranging from calculating the value from records to seeking experts and searching databases. When data cannot be converted to money credibly and with minimum resources, they are considered intangible. This book explores the range of intangible benefits and the necessary techniques for collecting, analyzing, and recording them.

Book five, Costs and ROI: Evaluating at the Ultimate Level, focuses on costs and ROI. This book shows that all costs must be captured in order to create a fully loaded cost profile. All the costs must be included in order to be conservative and to give the analysis additional credibility. Next, the actual ROI calculation is presented, showing the various assumptions and issues that must be addressed when calculating the ROI. Three different calculations are presented: the benefit-cost ratio, the ROI percentage, and the payback period. The book concludes with several cautions and concerns about the use of ROI and its meaning.

Book six, Communication and Implementation: Sustaining the Practice, explores two important issues. The first issue is reporting the results of an evaluation. This is the final part of the ROI Methodology and is necessary to ensure that audiences have the information they need so that improvement processes can be implemented. A range of techniques is available, including face-to-face meetings, brief reports, one-page summaries, routine communications, massaudience techniques, and electronic media. All are available for reporting evaluation results. The final part of the book focuses on how to sustain the ROI evaluation process: how to use it, keep it going, and make it work in the long term to add value to the organization and, often, to show the value of all the programs and projects within a function or department.

Terminology: Programs, Projects, Solutions

In this series the terms program and project are used to describe many processes that can be evaluated using the ROI Methodology. This is an important issue because readers may vary widely in their perspectives. Individuals involved in technology applications may use the terms system and technology rather than program or project. In public policy, in contrast, the word program is prominent. For a professional meetings and events planner, the word program may not be pertinent, but in human resources, program is often used. Finding one term for all these situations would be difficult. Consequently, the terms program and project are used interchangeably. Table I.1 lists these and other terms that may be used in other contexts.

Table I.1Terms and Applications

Term

Example

Program

Leadership development skills enhancement for senior executives

Project

A reengineering scheme for a plastics division

System

A fully interconnected network for all branches of a bank

Initiative

A faith-based effort to reduce recidivism

Policy

A new preschool plan for disadvantaged citizens

Procedure

A new scheduling arrangement for truck drivers

Event

A golf outing for customers

Meeting

A U.S. Coast Guard conference on innovations

Process

Quality sampling

People

Staff additions in the customer care center

Tool

A new means of selecting hotel staff

Features

Each book in the series takes a straightforward approach to make it understandable, practical, and useful. Checklists are provided, charts are included, templates are presented, and examples are explored. All are intended to show how the ROI Methodology works. The focus of these books is implementing the process and making it successful within an organization. The methodology is based on the work of hundreds of individuals who have made the ROI Methodology a successful evaluation process within their organizations.

About Pfeiffer

Pfeiffer serves the professional development and hands-on resource needs of training and human resource practitioners and gives them products to do their jobs better. We deliver proven ideas and solutions from experts in HR development and HR management, and we offer effective and customizable tools to improve workplace performance. From novice to seasoned professional, Pfeiffer is the source you can trust to make yourself and your organization more successful.

Essential Knowledge Pfeiffer produces insightful, practical, and comprehensive materials on topics that matter the most to training and HR professionals. Our Essential Knowledge resources translate the expertise of seasoned professionals into practical, how-to guidance on critical workplace issues and problems. These resources are supported by case studies, worksheets, and job aids and are frequently supplemented with CD-ROMs, Web sites, and other means of making the content easier to read, understand, and use.

Essential Tools Pfeiffer’s Essential Tools resources save time and expense by offering proven, ready-to-use materials—including exercises, activities, games, instruments, and assessments—for use during a training or team-learning event. These resources are frequently offered in looseleaf or CD-ROM format to facilitate copying and customization of the material.

Pfeiffer also recognizes the remarkable power of new technologies in expanding the reach and effectiveness of training. While e-hype has often created whizbang solutions in search of a problem, we are dedicated to bringing convenience and enhancements to proven training solutions. All our e-tools comply with rigorous functionality standards. The most appropriate technology wrapped around essential content yields the perfect solution for today’s on-the-go trainers and human resource professionals.

Essential resources for training and HR professionals

Data Collection

Planning For and Collecting All Types of Data

Patricia Pulliam Phillips, Ph.D.

Cathy A. Stawarski, Ph.D.

Copyright © 2008 by John Wiley & Sons, Inc. All rights reserved.

Published by PfeifferAn Imprint of Wiley989 Market Street, San Francisco, CA 94103-1741www.pfeiffer.com

No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400, fax 978-646-8600, or on the web at www.copyright.com. Requests to the publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, 201-748-6011, fax 201-748-6008, or online at http://www.wiley.com/go/permissions.

Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

Readers should be aware that Internet Web sites offered as citations and/or sources for further information may have changed or disappeared between the time this book was written and when it is read.

For additional copies/bulk purchases of this book in the U.S. please contact 800-274-4434.

Pfeiffer books and products are available through most bookstores. To contact Pfeiffer directly call our Customer Care Department within the U.S. at 800-274-4434, outside the U.S. at 317-572-3985, fax 317-572-4002, or visit www.pfeiffer.com.

Pfeiffer also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic books.

Library of Congress Cataloging-in-Publication Data

Phillips, Patricia Pulliam.Data collection: planning for and collecting all types of data / Patricia Pulliam Phillips, Ph.D., and Cathy A. Stawarski, Ph.D.p. cm.—(The measurement and evaluation series)Includes bibliographical references and index.ISBN: 978-0-7879-8718-3 (pbk.)1. Project management—Evaluation. 2. Rate of return. 3. Employees—Rating of. 4. Organizational learning—Evaluation. 5. Social sciences—Research—Methodology. I. Stawarski, Cathy A. II. Title.HD69.P75P496 2008001.4’33—dc222007035758

Production Editor: Michael Kay

Editor: Matthew Davis

Editorial Assistant: Julie Rodriguez

Manufacturing Supervisor: Becky Morgan

Acknowledgments from the Editors

From Patti

No project, regardless of its size or scope, is completed without the help and support of others. My sincere thanks go to the staff at Pfeiffer. Their support for this project has been relentless. Matt Davis has been the greatest! It is our pleasure and privilege to work with such a professional and creative group of people.

Thanks also go to my husband, Jack. His unwavering support of my work is always evident. His idea for the series was to provide readers with a practical understanding of the various components of a comprehensive measurement and evaluation process. Thank you, Jack, for another fun opportunity!

From Jack

Many thanks go to the staff who helped make this series a reality. Lori Ditoro did an excellent job of meeting a very tight deadline and delivering a quality manuscript.

Much admiration and thanks go to Patti. She is an astute observer of the ROI Methodology, having observed and learned from hundreds of presentations, consulting assignments, and engagements. In addition, she is an excellent researcher and student of the process, studying how it is developed and how it works. She has become an ROI expert in her own right. Thanks, Patti, for your many contributions. You are a great partner, friend, and spouse.

Principles of the ROI Methodology

The ROI Methodology is a step-by-step tool for evaluating any program, project, or initiative in any organization. Figure P.1 illustrates the ROI process model, which makes a potentially complicated process simple by breaking it into sequential steps. The ROI process model provides a systematic, step-by-step approach to ROI evaluations that helps keep the process manageable, allowing users to address one issue at a time. The model also emphasizes that the ROI Methodology is a logical, systematic process that flows from one step to another and provides a way for evaluators to collect and analyze six types of data.

Applying the model consistently from one program to another is essential for successful evaluation. To aid consistent application of the model, the ROI Methodology is based on twelve Guiding Principles. These principles are necessary for a credible, conservative approach to evaluation through the different levels.

When conducting a higher-level evaluation, collect data at lower levels.

When planning a higher-level evaluation, the previous level of evaluation is not required to be comprehensive.

When collecting and analyzing data, use only the most credible sources.

When analyzing data, select the most conservative alternative for calculations.

Use at least one method to isolate the effects of a project.

If no improvement data are available for a population or from a specific source, assume that little or no improvement has occurred.

Adjust estimates of improvement for potential errors of estimation.

Avoid use of extreme data items and unsupported claims when calculating ROI.

Use only the first year of annual benefits in ROI analysis of short-term solutions.

Fully load all costs of a solution, project, or program when analyzing ROI.

Intangible measures are defined as measures that are purposely not converted to monetary values.

Communicate the results of the ROI Methodology to all key stakeholders.

Figure P.1. The ROI Process Model

1Using Questionnaires and Surveys

Data collection is the first operational part of the ROI process model. Data are collected in different time frames and from different sources. This is the first of four chapters on data collection methods. Collectively, these four chapters will provide a variety of ways to meet any application, budget, or time constraint.

Probably the most common data collection method is the questionnaire (Alreck and Settle, 1995). Ranging from short reaction forms to detailed follow-up tools, questionnaires can be used both to obtain subjective information about participants and to document objective, measurable impact results for an ROI analysis. Because of this versatility, the questionnaire is the preferred method for capturing data at Levels 1, 2, 3, and 4 in some organizations.

A survey is a specific type of questionnaire with several applications in measuring program success. Surveys are used in situations in which only attitudes, beliefs, and opinions are captured; questionnaires are much more flexible, capturing a wide range of data from attitudes to specific improvement statistics. The principles of survey construction and design are similar to those of questionnaire design. This chapter explains how to develop both types of instruments.

Types of Questions

In addition to the types of data sought, the types of questions distinguish surveys from questionnaires. Surveys may elicit yes-or-no responses, if absolute agreement or disagreement is required, or they may solicit a range of responses, often on a five-point scale from “strongly agree” to “strongly disagree.”

A questionnaire may contain any or all of these types of questions:

Open-ended questions

allow unlimited answers. Questions are followed by ample blank space for the responses.

Checklists

provide a list of items, and the participant is asked to check those that apply in the situation.

Two-way questions

limit answers to a pair of alternative responses, such as yes and no.

Multiple-choice questions