Business Research Method 14th Edition by Pamela Schindler ISBN 9781264098538 1264098537

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ISBN 10: 1264098537
ISBN 13: 9781264098538
Author: Pamela Schindler

Business Research Method 14th Edition Table of contents:

Part I: Building the Foundation for Research

Chapter 1: Research Foundations and Fundamentals

Business Environment for Decision-Making

Role of Data in Decision-Making

Addressing the Challenges

Is New Data Needed?

The Research Process

The Language of Research

Concepts

Constructs

Operational Definitions

Variables

Hypotheses, Theories, and Models

Summary

Keyterms

Review & Discussion Questions

Cases

Chapter 2: The Research Process: An Overview

What Is Good Research?

The Research Process

Stage 1: Clarify the Research Question

Identify and Prioritize Dilemmas

Exploration

Value and Budget the Research

Stage 2: Design the Research Project

Data Collection Design

Sampling Design

Stage 3: Collect and Prepare the Data

Collect the Data

Prepare the Data

Stage 4: Analyze and Interpret the Data

Stage 5: Report Insights and Recommendations

The Research Project Time Frame

Research Process Pitfalls and Solutions

Ill-Defined Management Problems

Unresearchable Questions

Overembracing Data Analytics

The Manager’s Hidden Agenda(s)

Favored-Technique Syndrome

Researcher Inexperience

Research Process Ethical Issues and Responsibilities

Summary

Keyterms

Review & Discussion Questions

Cases

Chapter 3: Stage 1: Clarify the Research Question

Stage 1 in the Research Process

The Question Hierarchy

The Management Question

The Research Question

Investigative Questions

Measurement Questions

The Exploration Strategy

Information Sources

Evaluating External Sources

Internal Sources

Evaluating Internal Sources

Value the Research

Justify and Budget for Research

Stage 1 Ethical Issues and Their Solutions

Summary

Keyterms

Review & Discussion Questions

Cases

Additional Content

Part II: The Design of Business Research

Chapter 4: Stage 2: Research Design, An Overview

What Is Research Design?

Sampling Design

Data Collection Design

An Example

Design Dimensions

The Topical Scope

Design the Measurement Instrument

Summary

Keyterms

Review & Discussion Questions

Cases

Chapter 5: Stage 2: Sampling Design

Sampling Design

Define the Target Population and Case

Define the Population Parameters

Define the Sample Frame

A Community as Sample Frame

Define the Number of Cases

Sample versus Census

Lower Cost

Greater Speed of Data Collection

Availability of Population Cases

Better Quality Results

Accuracy

Precision

Sample Size

Define the Sampling Method

Probability Sampling

Simple Random Sampling

Complex Probability Sampling

Nonprobability Sampling

Convenience Sampling

Purposive Sampling

Snowball Sampling

Define the Selection and Recruiting Protocols

Ethical Issues and Their Solutions

Summary

Keyterms

Review & Discussion Questions

Cases

Appendix: Calculate the Sample Size

Chapter 6: Stage 2: Data Collection Design: Qualitative Research

What Is Qualitative Research?

Qualitative Research Design

Qualitative Sampling Design

Qualitative Data Collection Design

Interviews

Interviewers as Consultants

Creative Exercises

Individual Depth Interviews

Group Interviews

Focus Groups

Group Interview Drawbacks and Their Solutions

Recording, Analyzing, and Reporting Group Interviews

Combining Qualitative Methodologies

Case Study

Action Research

Merging Qualitative and Quantitative Methodologies

Ethical Issues and Their Solutions

Summary

Keyterms

Review & Discussion Questions

Cases

Chapter 7: Stage 2: Data Collection Design: Observation Research

Observation Research Design

Sampling Design

Data Collection Design

Content Type

Types of Observation

Observation Environment

Data Collection Protocol

Observer-Participant Relationship

Observer Training and Supervision

Evaluation of the Observation Method

Strengths

Limitations

Ethical Issues and Their Solutions

Summary

Keyterms

Review & Discussion Questions

Cases

Chapter 8: Stage 2: Data Collection Design: Experiments

Experiments and Causation

Causation Evidence

Causal Conclusion

Conduct an Experiment

Select Relevant Variables

Specify Treatment Levels

Control the Experimental Environment

Choose the Experimental Design

Select and Assign Participants (or Cases)

Pilot Test Data Collection Protocols, Revise

Conduct the Experiment

Validity in Experimentation

Internal Validity

External Validity

Experimental Research Designs

Preexperimental Designs

True Experimental Designs

Field Experiments: Quasi- or Semi-Experiments

An Evaluation of Experiments

Advantages

Disadvantages

Ethical Issues and Their Solutions

Summary

Keyterms

Review & Discussion Questions

Cases

Additional Content

Chapter 9: Stage 2: Data Collection Design: Survey Research

Data Collection Design: The Survey

Self-Administered Survey

Survey via Phone Interview

Survey via Personal Interview

Error in Survey Research

Interviewer Error

Participant Error

Outsourcing Survey Tasks

Evaluation of Survey Research

Ethical Issues and Their Solutions

Summary

Keyterms

Review & Discussion Questions

Cases

Part III: Measurement

Chapter 10: Stage 3: Measurement Foundations

The Nature of Measurement

Tasks of Measurement

What Is Measured

Measurement Scales

Nominal Scales

Ordinal Scales

Interval Scales

Ratio Scales

Recoding

Sources of Measurement Differences

Error Sources

The Characteristics of Good Measurement

Validity

Reliability

Practicality

Summary

Keyterms

Review & Discussion Questions

Cases

Chapter 11: Stage 3: Measurement Questions

Instrument Design

Prepare the Preliminary Analysis Plan

Confirm Communication Approach

Select Instrument Structure

Select or Craft a Measurement Scale

Research Objectives

Response Types

Number of Dimensions

Balanced or Unbalanced

Forced or Unforced Choices

Number of Scale Points

Participant Errors

The Nature of Attitudes

The Relationship between Attitudes and Behavior

Attitude Scaling

Rating Questions

Single-Response Questions

Multiple-Response Questions

Ranking Questions

Sorting Questions

Cumulative Questions

Find or Craft Measurement Questions

Question Coverage

Question Wording

Frame of Reference

Response Alternatives

Sources of Existing Questions

Pretesting

Summary

Keyterms

Review & Discussion Questions

Cases

Appendix: Sources of Measurement Questions

Chapter 12: Stage 3: Measurement Instruments

Instrument Design

Phase 2: Gather and Sort the Pieces

Question Types

Pretesting: Scope and Coverage

Responsibility Fulfillment

Phase 2: Non-Question Elements

Non-Question Elements

Overcoming Instrument Problems

Responsibility Fulfillment

Phase 3: Organize the Pieces

Order Topics and Questions

Pretest The Instrument

Physical Design

Pretesting: Physical Design

Responsibility Fulfillment

Summary

Keyterms

Review & Discussion Questions

Cases

Additional Content

Part IV: Collect, Prepare, and Examine the Data

Chapter 13: Stage 3: Collect, Prepare, and Examine Data

Collect the Data

Train the Data Collectors

Determine the Data Collection Timeline

Determine and Implement the Research Process(es)

Invite the Chosen Participants

Activate the Research Task(s)

Remind the Participants

Enter the Data

Enter the Data

Prepare the Data

Postcollection Coding of Data

Edit the Data

Complete

Accurate

Appropriately Coded

Examine the Data

Exploratory Data Analysis

Cross-Tabulation

The Importance of Percentages

Other Table-Based Analysis

Summary

Keyterms

Review & Discussion Questions

Cases

Appendix: Better Tables

Appendix: Review: Describing Data Statistically

Part V: Analyze and Interpret Data

Chapter 14: Stage 4: Hypothesis Testing

Introduction

Statistical Significance

The Logic of Hypothesis Testing

Statistical Testing Procedures

Probability Values (p Values)

Tests of Significance

Types of Tests

How to Select a Test

Selecting Tests Using the Choice Criteria

One-Sample Tests

Two-Independent-Samples Tests

Two-Related-Samples Tests

k-Independent-Samples Tests

A Priori Contrasts

Multiple Comparison Tests

Exploring the Findings with Two-Way ANOVA

Nonparametric Tests

k-Related-Samples Tests

Summary

Keyterms

Review & Discussion Questions

Cases

Chapter 15: Stage 4: Measures of Association

Introduction

Bivariate Correlation Analysis

Pearson’s Correlation Coefficient r

Scatterplots for Exploring Relationships

The Assumptions of r

Computation and Testing of r

Simple Linear Regression

The Basic Model

Concept Application

Method of Least Squares

Predictions

Testing the Goodness of Fit

Nonparametric Measures of Association

Measures for Nominal Data

Measures for Ordinal Data

Summary

Keyterms

Review & Discussion Questions

Cases

Part VI: Stage 5: Report the Research

Chapter 16: Stage 5: Research Reports: Support Insights and Recommendations

Introduction

Emphasis on Insights

Shift in Reporting Structure

Audience-Centric Planning

Audience Analysis

Audience Composition

Research Question Knowledge

Research Predispositions

Recommendation Effects

Audience Effect

Supplemental Purposes

Report Structure

Content and Style: Organize

Report Types

Report Components

Traditional Frameworks for Organization

Content and Style: Visualize

Presenting Findings

Data Visualization Specifically for the Oral Report

Content and Style: Compile

Content and Style: Practice

Content and Style: Deliver

Ethical Considerations in Reporting

Summary

Keyterms

Review & Discussion Questions

Cases

Appendix: Better Reports

Part VII: Research Project Overview

Chapter 17: An Integrated Example

The Need for Research

Receipt of an RFP at Visionary Insights

The VI Proposal for BrainSavvy Research

The Proposal Review at BrainSavvy

The BrainSavvy Finalist Interview

Visionary Insights Captures the Research Contract

Stage 1: Clarify the Research Question

The Dallas Trip

VI Project Structure and Exploration

Interviews

Data File Analysis

Process Modeling

Focus Groups

Investigative and Research Questions

Stage 2: Research Design

Sampling Design

Data Collection Design

Stage 3: Collect, Prepare and Examine Data

Activate the Survey

The Analysis Plan

Data Preparation and Examination

Stage 4: Analyze the Data

Conference Call with Parma the Following Tuesday

Stage 5: Report the Research

Oral Report

Post-Project Team Debriefing

The Continuation Contract

Three and a Half Months Later

Summary

Review & Discussion Questions

Case Index

Appendices

Appendix A: Business Research Proposals and RFPs (with Sample RFP)

Proposing Research

The Research Proposal

Proposal Structure

Executive Summary

Problem Statement

Research Objectives

Literature Review

Importance/Benefits of the Study

Research Design

Data Analysis

Nature and Form of Results

Qualifications of Researchers

Budget

Schedule

Facilities and Special Resources

Project Management

Bibliography

Appendices

Create a Request for Proposal

Proposal Administration

Summary Problem Statement

Technical Section

Management Section

Contracts and Licensing Section

Pricing Section

Format

Qualify a Researcher to Receive the RFP

Evaluate a Research Company’s Proposal

Evaluating an Unsolicited Research Proposal

Sample RFP: Covering Kids

Background

Contractual Needs

Evaluation Task

Anticipated Time Schedule

Proposal Instructions

Review Criteria

Appendix B: Focus Group Discussion Guide

Background

Appendix C: Nonparametric Significance Tests

One-Sample Test

Kolmogorov-Smirnov Test

Two-Samples Tests

Sign Test

Wilcoxon Matched-Pairs Test

Kolmogorov-Smirnov Two-Samples Test

Mann-Whitney U Test

Other Nonparametric Tests

Kruskal-Wallis Test

Appendix D: Selected Statistical Tables

References

Glossary

Indexes

Name Index

Company Index

Subject Index

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