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Business Research Methods 11th Edition Cooper Test Bank

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The Eleventh Edition of Business Research Methods continues to provide the most timely, richest, and most comprehensive coverage of the research experience in Business Research Methods. Students and instructors will find thorough coverage of all business research topics –backed by solid theory. The expertise and practical experience of Cooper and Schindler is evident in the realistic Snapshots, Close-Ups, PicProfiles, and case studies found throughout the text. Managerial decision making is the underlying theme, and topics and applications are presented and organized in a manner that allows students to thoroughly understand the business research function. Consequently, the structure of the text encourages and supports completion of an in-depth business research project during your course.

 

Table of Content:

  1. part I. Introduction to Business Research
  2. Chapter 1. Research in Business
  3. Why Study Business Research?
  4. Information and Competitive Advantage
  5. Goals
  6. Decision Support
  7. Business Intelligence
  8. Strategy
  9. Tactics
  10. Hierarchy of Information-Based Decision Makers
  11. The Research Process: A Preview
  12. Is Research Always Problem-Solving Based?
  13. What Is Good Research?
  14. A Glimpse at Four Research Studies
  15. ClassicToys
  16. MedImage
  17. MoreCoatings
  18. York College
  19. What Dilemma Does the Manager Face?
  20. The Types of Research Studies Represented by the Four Examples
  21. summary
  22. key terms
  23. discussion questions
  24. cases
  25. Appendix 1a How the Research Industry Works
  26. Chapter 2. Ethics in Business Research
  27. What Are Research Ethics?
  28. Ethical Treatment of Participants
  29. Benefits
  30. Deception
  31. Informed Consent
  32. Debriefing Participants
  33. Rights to Privacy
  34. Data Collection in Cyberspace
  35. Ethics and the Sponsor
  36. Confidentiality
  37. The Sponsor–Researcher Relationship
  38. Sponsor’s Ethics
  39. Researchers and Team Members
  40. Safety
  41. Ethical Behavior of Assistants
  42. Protection of Anonymity
  43. Professional Standards
  44. Resources for Ethical Awareness
  45. summary
  46. key terms
  47. discussion questions
  48. cases
  49. Chapter 3. Thinking Like a Researcher
  50. The Language of Research
  51. Concepts
  52. Constructs
  53. Definitions
  54. Variables
  55. Propositions and Hypotheses
  56. Theory
  57. Models
  58. Research and the Scientific Method
  59. Sound Reasoning for Useful Answers
  60. summary
  61. key terms
  62. discussion questions
  63. cases
  64. Chapter 4. The Research Process: An Overview
  65. The Research Process
  66. Stage 1: Clarifying the Research Question
  67. Stage 2: Proposing Research
  68. Resource Allocation and Budgets
  69. Valuing Research Information
  70. The Research Proposal
  71. Stage 3: Designing the Research Project
  72. Research Design
  73. Sampling Design
  74. Pilot Testing
  75. Stage 4: Data Collection and Preparation
  76. Stage 5: Data Analysis and Interpretation
  77. Stage 6: Reporting the Results
  78. Research Process Issues
  79. The Favored-Technique Syndrome
  80. Company Database Strip-Mining
  81. Unresearchable Questions
  82. Ill-Defined Management Problems
  83. Politically Motivated Research
  84. summary
  85. key terms
  86. discussion questions
  87. cases
  88. Chapter 5. Clarifying the Research Question through Secondary Data and Exploration
  89. A Search Strategy for Exploration
  90. Levels of Information
  91. Types of Information Sources
  92. Evaluating Information Sources
  93. Mining Internal Sources
  94. Evolution of Data Mining
  95. Data-Mining Process
  96. The Question Hierarchy: How Ambiguous Questions Become Actionable Research
  97. The Management Question
  98. The Research Question
  99. Investigative Questions
  100. Measurement Questions
  101. summary
  102. key terms
  103. discussion questions
  104. cases
  105. Appendix 5a Bibliographic Database Searches
  106. Appendix 5b Advanced Searches
  107. part II. The Design of Business Research
  108. Chapter 6. Research Design: An Overview
  109. What Is Research Design?
  110. Classification of Designs
  111. Exploratory Studies
  112. Qualitative Techniques
  113. Secondary Data Analysis
  114. Experience Survey
  115. Focus Groups
  116. Two-Stage Design
  117. Descriptive Studies
  118. Causal Studies
  119. summary
  120. key terms
  121. discussion questions
  122. cases
  123. Chapter 7. Qualitative Research
  124. What Is Qualitative Research?
  125. Qualitative versus Quantitative Research
  126. The Controversy
  127. The Distinction
  128. The Process of Qualitative Research
  129. Qualitative Research Methodologies
  130. Sampling
  131. Interviews
  132. Individual Depth Interviews
  133. Group Interviews
  134. Combining Qualitative Methodologies
  135. Case Study
  136. Action Research
  137. Merging Qualitative and Quantitative Methodologies
  138. summary
  139. key terms
  140. discussion questions
  141. cases
  142. Chapter 8. Observation Studies
  143. The Uses of Observation
  144. Nonbehavioral Observation
  145. Behavioral Observation
  146. Evaluation of the Observation Method
  147. The Observer–Participant Relationship
  148. Directness of Observation
  149. Concealment
  150. Participation
  151. Conducting an Observation Study
  152. The Type of Study
  153. Content Specification
  154. Observer Training
  155. Data Collection
  156. Unobtrusive Measures
  157. summary
  158. key terms
  159. discussion questions
  160. cases
  161. Chapter 9. Experiments
  162. What Is Experimentation?
  163. An Evaluation of Experiments
  164. Advantages
  165. Disadvantages
  166. Conducting an Experiment
  167. Selecting Relevant Variables
  168. Specifying Treatment Levels
  169. Controlling the Experimental Environment
  170. Choosing the Experimental Design
  171. Selecting and Assigning Participants
  172. Pilot Testing, Revising, and Testing
  173. Analyzing the Data
  174. Validity in Experimentation
  175. Internal Validity
  176. External Validity
  177. Experimental Research Designs
  178. Preexperimental Designs
  179. True Experimental Designs
  180. Field Experiments: Quasi- or Semi-Experiments
  181. summary
  182. key terms
  183. discussion questions
  184. cases
  185. Appendix 9a Complex Experimental Designs
  186. Appendix 9b Test Markets
  187. Chapter 10. Surveys
  188. Characteristics of the Communication Approach
  189. Error in Communication Research
  190. Choosing a Communication Method
  191. Self-Administered Surveys
  192. Evaluation of the Self-Administered Survey
  193. Maximizing Participation in the Self-Administered Survey
  194. Self-Administered Survey Trends
  195. Survey via Telephone Interview
  196. Evaluation of the Telephone Interview
  197. Telephone Survey Trends
  198. Survey via Personal Interview
  199. Evaluation of the Personal Interview Survey
  200. Selecting an Optimal Survey Method
  201. Outsourcing Survey Services
  202. summary
  203. key terms
  204. discussion questions
  205. cases
  206. part III. The Sources and Collection of Data
  207. Chapter 11. Measurement
  208. The Nature of Measurement
  209. What Is Measured?
  210. Measurement Scales
  211. Nominal Scales
  212. Ordinal Scales
  213. Interval Scales
  214. Ratio Scales
  215. Sources of Measurement Differences
  216. Error Sources
  217. The Characteristics of Good Measurement
  218. Validity
  219. Content Validity
  220. Criterion-Related Validity
  221. Construct Validity
  222. Reliability
  223. Practicality
  224. summary
  225. key terms
  226. discussion questions
  227. cases
  228. Chapter 12. Measurement Scales
  229. The Nature of Attitudes
  230. The Relationship between Attitudes and Behavior
  231. Attitude Scaling
  232. Selecting a Measurement Scale
  233. Research Objectives
  234. Response Types
  235. Data Properties
  236. Number of Dimensions
  237. Balanced or Unbalanced
  238. Forced or Unforced Choices
  239. Number of Scale Points
  240. Rater Errors
  241. Rating Scales
  242. Simple Attitude Scales
  243. Likert Scales
  244. Semantic Differential Scales
  245. Numerical/Multiple Rating List Scales
  246. Stapel Scales
  247. Constant-Sum Scales
  248. Graphic Rating Scales
  249. Ranking Scales
  250. Sorting
  251. Cumulative Scales
  252. summary
  253. key terms
  254. discussion questions
  255. cases
  256. Chapter 13. Questionnaires and Instruments
  257. Phase 1: Revisiting the Research Question Hierarchy
  258. Type of Scale for Desired Analysis
  259. Communication Approach
  260. Disguising Objectives and Sponsors
  261. Preliminary Analysis Plan
  262. Phase 2: Constructing and Refining the Measurement Questions
  263. Question Categories and Structure
  264. Question Content
  265. Question Wording
  266. Response Strategy
  267. Sources of Existing Questions
  268. Phase 3: Drafting and Refining the Instrument
  269. Participant Screening and Introduction
  270. Measurement Question Sequencing
  271. Instructions
  272. Conclusion
  273. Overcoming Instrument Problems
  274. The Value of Pretesting
  275. summary
  276. key terms
  277. discussion questions
  278. cases
  279. Appendix 13a Crafting Effective Measurement Questions
  280. Appendix 13b Pretesting Options and Discoveries
  281. Chapter 14. Sampling
  282. The Nature of Sampling
  283. Why Sample?
  284. What Is a Good Sample?
  285. Types of Sample Design
  286. Steps in Sampling Design
  287. What Is the Target Population?
  288. What Are the Parameters of Interest?
  289. What Is the Sampling Frame?
  290. What Is the Appropriate Sampling Method?
  291. What Size Sample Is Needed?
  292. Probability Sampling
  293. Simple Random Sampling
  294. Complex Probability Sampling
  295. Nonprobability Sampling
  296. Practical Considerations
  297. Methods
  298. summary
  299. key terms
  300. discussion questions
  301. cases
  302. Appendix 14a Determining Sample Size
  303. part IV. Analysis and Presentation of Data
  304. Chapter 15. Data Preparation and Description
  305. Introduction
  306. Editing
  307. Field Editing
  308. Central Editing
  309. Coding
  310. Codebook Construction
  311. Coding Closed Questions
  312. Coding Open-Ended Questions
  313. Coding Rules
  314. Using Content Analysis for Open Questions
  315. “Don’t Know” Responses
  316. Missing Data
  317. Data Entry
  318. Alternative Data Entry Formats
  319. On the Horizon
  320. summary
  321. key terms
  322. discussion questions
  323. cases
  324. Appendix 15a Describing Data Statistically
  325. Chapter 16. Exploring, Displaying, and Examining Data
  326. Exploratory Data Analysis
  327. Frequency Tables, Bar Charts, and Pie Charts
  328. Histograms
  329. Stem-and-Leaf Displays
  330. Pareto Diagrams
  331. Boxplots
  332. Mapping
  333. Cross-Tabulation
  334. The Use of Percentages
  335. Other Table-Based Analysis
  336. summary
  337. key terms
  338. discussion questions
  339. cases
  340. Chapter 17. Hypothesis Testing
  341. Introduction
  342. Statistical Significance
  343. The Logic of Hypothesis Testing
  344. Tests of Significance
  345. Types of Tests
  346. How to Select a Test
  347. Selecting Tests Using the Choice Criteria
  348. One-Sample Tests
  349. Two-Independent-Samples Tests
  350. Two-Related-Samples Tests
  351. k-Independent-Samples Tests
  352. k-Related-Samples Tests
  353. summary
  354. key terms
  355. discussion questions
  356. cases
  357. Chapter 18. Measures of Association
  358. Introduction
  359. Bivariate Correlation Analysis
  360. Pearson’s Product Moment Coefficient r
  361. Scatterplots for Exploring Relationships
  362. The Assumptions of r
  363. Computation and Testing of r
  364. Simple Linear Regression
  365. The Basic Model
  366. Concept Application
  367. Method of Least Squares
  368. Predictions
  369. Testing the Goodness of Fit
  370. Nonparametric Measures of Association
  371. Measures for Nominal Data
  372. Measures for Ordinal Data
  373. summary
  374. key terms
  375. discussion questions
  376. cases
  377. Chapter 19. Multivariate Analysis: An Overview
  378. Introduction
  379. Selecting a Multivariate Technique
  380. Dependency Techniques
  381. Multiple Regression
  382. Discriminant Analysis
  383. MANOVA
  384. Structural Equation Modeling
  385. Conjoint Analysis
  386. Interdependency Techniques
  387. Factor Analysis
  388. Cluster Analysis
  389. Multidimensional Scaling
  390. summary
  391. key terms
  392. discussion questions
  393. cases
  394. Chapter 20. Presenting Insights and Findings: Written Reports
  395. Introduction
  396. The Written Research Report
  397. Short Reports
  398. Long Reports
  399. Research Report Components
  400. Prefatory Items
  401. Introduction
  402. Methodology
  403. Findings
  404. Conclusions
  405. Appendices
  406. Bibliography
  407. Writing the Report
  408. Prewriting Concerns
  409. Writing the Draft
  410. Presentation Considerations
  411. Presentation of Statistics
  412. Text Presentation
  413. Semitabular Presentation
  414. Tabular Presentation
  415. Graphics
  416. summary
  417. key terms
  418. discussion questions
  419. cases
  420. Chapter 21. Presenting Insights and Findings: Oral Presentations
  421. Introduction
  422. Aristotle’s Three Principles of Persuasive Communication
  423. Ethos
  424. Pathos
  425. Logos
  426. Plan
  427. Audience Analysis
  428. Types of Learners
  429. Keep Your Audience from Checking Out
  430. Planning and the Web-Delivered Presentation
  431. Organize
  432. Traditional Patterns of Organization
  433. The Motivated Sequence Organization
  434. The Narrative Organization
  435. The Rule of Three and the Three-Point Speech
  436. Support
  437. Conveying Personal Experience through Stories
  438. Demonstrations
  439. Visualize
  440. Psychological and Physical Foundations
  441. Design Principles
  442. Prescriptions for Better Slides
  443. Deliver
  444. Modes of Delivery
  445. Scripts and Notes
  446. Details Make a Difference
  447. Practice and Arrange
  448. Rehearsal Is Essential
  449. Controlling Performance Anxiety
  450. Arrangements for Facilities and Equipment
  451. summary
  452. key terms
  453. discussion questions
  454. cases
  455. case index
  456. appendices
  457. a. Business Research Requests and Proposals (with Sample RFP)
  458. Proposing Research
  459. The Request for Proposal (RFP)
  460. Creating the RFP
  461. The Research Proposal
  462. Sponsor Uses
  463. Researcher Benefits
  464. Types of Research Proposals
  465. Internal Proposals
  466. External Proposals
  467. Structuring the Research Proposal
  468. Executive Summary
  469. Problem Statement
  470. Research Objectives
  471. Literature Review
  472. Importance/Benefits of the Study
  473. Research Design
  474. Data Analysis
  475. Nature and Form of Results
  476. Qualifications of Researchers
  477. Budget
  478. Schedule
  479. Facilities and Special Resources
  480. Project Management
  481. Bibliography
  482. Appendices
  483. Evaluating the Research Proposal
  484. Covering Kids RFP
  485. Background
  486. Contractual Needs
  487. Evaluation Task
  488. Anticipated Time Schedule
  489. Proposal Instructions
  490. Review Criteria
  491. b. Focus Group Discussion Guide
  492. Background
  493. c. Nonparametric Significance Tests
  494. One-Sample Test
  495. Kolmogorov-Smirnov Test
  496. Two-Samples Tests
  497. Sign Test
  498. Wilcoxon Matched-Pairs Test
  499. Kolmogorov-Smirnov Two-Samples Test
  500. Mann-Whitney U Test
  501. Other Nonparametric Tests
  502. k-Samples Tests
  503. Kruskal-Wallis Test
  504. d. Selected Statistical Tables
  505. References and Readings
  506. Glossary
  507. Photo Credits
  508. Name
  509. Company
  510. Subject

 

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