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博士班106學年度第2學期資格考 考試範圍公告

系所公告
張貼人:網站管理員公告日期:2018-02-02
  

[博士班]管科系106學年度第2學期資格考範圍公告作業研究

用書為Quantitative Analysis for Management by Render, Stair and Hanna.

範圍:

Linear programming and integer programming

Probability concepts

Inventory control models

Queuing theory

Markov Analysis

Network models

Decision Analysis

Forecasting

Transportation and assignment models

[博士班]管科系106學年度第2學期資格考範圍公告統計

Linear Regression with One Predictor Variable, Inferences in Regression and Correlation Analysis, Diagnostic and Remedial Measures, Matrix Approach to Simple Linear Regression Analysis, Multiple Regression, Regression Models for Quantitative and Qualitative Predictors, Logistic Regression, and Generalized Linear Models, One factor Analysis of Variance, Two factor Analysis of Variance, Path Analysis

 [博士班]管科系106學年度第2學期資格考範圍公告研究方法


Lesson 1 Research Questions

1.Scandura, T. A., & Williams, E. A. (2000). Research methodology in management: Current practices, trends, and implications for future research. Academy of Management journal43(6), 1248-1264.

2. Davis, Gerald F. (2015). Editorial Essay: What Is Organizational Research For? Administrative Science Quarterly, 60(2), 179-188. 

3. Gray, Kurt & Wegner, Daniel M. (2013). Six Guidelines for Interesting Research. Perspectives on Psychological Science, 8(5), 549-553.
 

Lesson 2 Literature Review and theory building

1. Cait Lamberton and Andrew T. Stephen (2016) A Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry. Journal of Marketing: November 2016, Vol. 80, No. 6, pp. 146-172. https://doi.org/10.1509/jm.15.0415 

2.  Kannan, P. K. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22-45.

https://doi.org/10.1016/j.ijresmar.2016.11.006

3.  Davis, G. F. (2015). Editorial essay: what is organizational research for? Administrative Science Quarterly60(2), 179-188. 

Mathieu, J. E. (2016). The problem with [in] management theory. Journal of Organizational Behavior37(8), 1132-1141. 

4.  Platt, J. R. (1964). Strong Inference: Certain systematic methods of scientific thinking may produce much more rapid progress than others. Science, 146, 347-352. 

Sutton, R. I. & Staw, B. M. (1995). What theory is not. Administrative Science Quarterly, 40, 371-384.
 

Lesson 3 Formulating hypotheses and theory building

1. Feldman, D.C. (2004).  What are we talking about when we talk about theory? Journal of Management, 30 565-567. 

Schaubroeck, J (2012).  Pitfalls of appropriating prestigious theories to frame conceptual arguments.  Organizational Psychology Review, 1-12.

2. Leavitt, K., Mitchell, T. R. & Peterson, J.  (2010).  Theory pruning: strategies to reduce our dense theoretical landscape.  Organizational Research Methods, 13, 644-667

3. Colquitt, J. "Trends in theory building and theory testing: a five-decade study of the Academy of Management Journal." Academy of Management journal 50.6 (2008): 1281-1303.

4. Barley, S. R. (2006). When I write my masterpiece: Thoughts on what makes a paper interesting. Academy of Management Journal49(1), 16-20.

Hambrick, D. C. (2007). The field of management’s devotion to theory: Too much of a good thing? Academy of Management Journal, 50, 1346-1352.

Colquitt, J. A., & George, G. (2011). Publishing in AMJ—Part 1: Topic choice. Academy of Management Journal, 54, 432-435.

Summary:

Podsakoff, PM, MacKenzie, SB, Podsakoff NP (2016).  Recommendations for creating better concept definitions in the organizational, behavioral and social sciences.  Organizational Research Methods, 19, 159-203.

Lesson 4: Research Design Fundamentals

1. Zhang, Y. & Shaw, J.D. (2012).  Crafting the methods and results. Academy of Management Journal, 55, 8-12.

Bono, J. E., & McNamara, G. (2011, August). From The Editors: Publishing In Amj--Part 2: Research Design. Academy of Management Journal. pp. 657-660.

2. Bedian, A.G. (2014).  “More than meets the eye”:  A guide to interpreting the descriptive statistics and correlation matrices reported in management research.  Academy of Management Learning and Education, 13, 121-135.

3. Banks, G. C., O'Boyle, E. H., Jr, Pollack, J. M., White, C. D., Batchelor, J. H., Whelpley, C. E., et al. (2016). Questions about questionable research practices in the field of management: A guest commentary. Journal of Management, 42(1), 5.

Grant, A. M., & Pollock, T. G. (2011). Publishing in AMJ—Part 3: Setting the hook. Academy of Management Journal, 54, 873-879.

Sparrowe, R. T., & Mayer, K. J. (2011). Publishing in AMJ—Part 4: Grounding hypotheses. Academy of Management Journal, 54, 1098-1102. 

4. Westfall, J, Judd CM Kenny DA 2015.  Replicating studies in which samples of participants respond to samples of stimuli.  Perspectives on Psychological Science, 10, 390-399. 

Summary:

Brutus, S., Gill, H. & Duniewicz, K. (2010).  State-of-science in industrial and organizational psychology:  a review of self-reported limitations.  Personnel Psychology,63, 907-936. 

Lesson 5: Experimental Designs

1. Highhouse, S. (2009).  Designing experiments that generalize.  Organizational Research Methods.  12, 554-566

2. Mitchell, G. (2012). Revisiting Truth or Triviality: The External Validity of Research in the Psychological Laboratory. Perspectives on Psychological Science, 7, 109-117.

3. Imschloss, M. & Kuehnl, C. (2017) Don’t ignore the floor: Exploring multisensory atmospheric congruence between music and flooring in a retail environment. Psychology and Marketing, 34, 931-945

4. Roulin, N., & Bangerter, A. (2013). Social networking websites in personnel selection. Journal of Personnel Psychology.12 (3) 143-151

Summary:

Aguinis, H., & Bradley, K. J. (2014). Best practice recommendations for designing and implementing experimental vignette methodology studies. Organizational Research Methods, 17(4), 351-371

Lesson 6: Quasi-Experimental Design

Summary

Grant, A. M. & Wall, T.D. (2009) The neglected science and art of quasi-experimentation: why-to, when-to, and how-to advice for organizational researchers.  Organizational Research Methods, 12, 653-686.

Ph.D. Students

1. Lyons, B. D., Hoffman, B. J., Bommer, W. H., Kennedy, C. L., & Hetrick, A. L. (2016). Off-duty deviance: Organizational policies and evidence for two prevention strategies. Journal of Applied Psychology, 101(4), 463-483.  STUDY 2 ONLY

2. Yan, M., Peng, K. Z., & Francesco, A. M. (2011). The differential effects of job design on knowledge workers and manual workers: A quasi‐experimental field study in China. Human Resource Management, 50(3), 407-424.

Lesson 9: Survey Research 

Summary (Ph.D):

Hardy, B.  & Ford, LR (2014).  It’s Not Me, It’s You: Miscomprehension in Surveys. Organizational Research Methods 17: 138-162

Ph.D. students:

Harold, C. M., Holtz, B. C., Griepentrog, B. K., Brewer, L. M. and Marsh, S. M. (2016), Investigating the Effects of Applicant Justice Perceptions on Job Offer Acceptance. Personnel Psychology, 69: 199–227 

Lesson 10 Survey Research II and Common method bias

Summary (2 Ph.Ds)

Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual review of psychology, 63, 539-569.

Podsakoff, Philip M., & Mackenzie, Scott B., & Lee, Jeong-Yeon., & Podsakoff, Nathan P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88(5), 879-903.

Ph.D. students:

1.Rogelberg, S.G. & Stanton, J.M. (2007).  Understanding and dealing with organizational survey nonresponse.  Organizational Research Methods, 10, 195-209. 

2. Meade, A.W. & Craig, S.B. (2012).  Identifying careless responses in survey data.  Psychological Methods. 17, 437-455

3.  Floyd J. Fowler, Jr. (2009). Survey Research Methods (4th ed.). Thousand Oaks: SAGE Publications, Inc.

(CH1 Introduction, P.2-11)

(CH2 Types of Error in Surveys, P.11-18)

(CH6 Designing Questions to Be Good Measures, P.86-114)

(CH7 Evaluating Survey Questions and Instruments, P.114-127)

(CH8 Survey Interviewing, P.127-145)

4.  Furr, R. Michael (2011). Scale Construction and Psychometrics for Social and Personality Psychology. United Kingdom: Sage Publications Ltd.

(Chapter 1: Introduction, P.1-4)

(Chapter 2: Core Principles, Best Practices, and an Overview of Scale Construction, P.4-16)

(Chapter 3: Response Formats and Item Writing, P.16-25)

(Chapter 6: Threats to Psychometric Quality, P.67-77)

Factor Analysis

5.  Osborne J. (Ed.) (2008). Best practices in quantitative methods. Thousand Oaks: SAGE Publications, Inc.

(Chapter Title: "6 Best Practices in Exploratory Factor Analysis", P.86-100)

6. Furr, R. Michael (2011). Scale Construction and Psychometrics for Social and Personality Psychology. United Kingdom: Sage Publications Ltd.

(Chapter 8: Confirmatory Factor Analysis, P.91-110)

Validity

7. Furr, R. Michael (2011). Scale Construction and Psychometrics for Social and Personality Psychology. United Kingdom: Sage Publications Ltd.

(Chapter 5: Evaluating Psychometric Properties: Validity, P.52-67)

Reliability

8. Osborne J. (Ed.) (2008) Best practices in quantitative methods. Thousand Oaks: SAGE Publications, Inc.

(Chapter Title:3 Best Practices in Interrater Reliability -Three Common Approaches, P.29-50)

9. Furr, R. Michael (2011). Scale Construction and Psychometrics for Social and Personality Psychology. United Kingdom: Sage Publications Ltd.

(Chapter 4: Evaluating Psychometric Properties: Dimensionality and Reliability, P.25-52)



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