Recommended Readings

On Research Theory and Methodology

Enhance the Validity and Impact of Your Work

Writing & Publishing

Even the best ideas will not see the daylight of an academic journal if they are not communicated well.

Survey Research

Bad survey design  undermines the validity and reliability of your data and will cause a lot of pain throughout the research process.

Measurement

The act of measurement is at the heart of all sciences. Especially social scientists often deal with latent constructs that pose unique challenges.

Data Analysis

 The analytical tool box researchers can pick from is vast. Understand what tool is the right choice for what type of data is crucial.

Writing & Publishing

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How to find a research question?

Davis, Murray S. (1971), “That’s Interesting! Towards a Phenomenology of Sociology and a Sociology of Phenomenology,” Philosophy of the Social Sciences, 1 (2), 309-344. https://doi.org/10.1177/004839317100100211

Tellis, Gerard J. (2017), “Interesting and Impactful Research: On Phenomena, Theory, and Writing,” Journal of the Academy of Marketing Science, 45, 1-6. https://doi.org/10.1007/s11747-016-0499-0

Alvesson, Mats and Jörgen Sandberg (2011), “Generating Research Questions Through Problematization,” Academy of Management Review, 36 (2), 247-271. https://www.jstor.org/stable/41318000

Sandberg, Jörgen and Mats Alvesson (2011), “Ways of Constructing Research Questions: Gap-Spotting or Problematization?” Organization, 18 (1), 23-44. https://doi.org/10.1177/1350508410372151

On the relevance, rigor, and impact of research

Lehmann, Donald R., Leigh McAlister, and Richard Staelin (2011), “Sophistication in Research in Marketing,” Journal of Marketing, 75 (4), 155-165. https://doi.org/10.1509/jmkg.75.4.155

Kohli, Ajay K.  and Michael Haenlein (2021), “Factors Affecting the Study of Important Marketing Issues: Implications and Recommendations,” International Journal of Research in Marketing, 38 (1), 1-11. https://doi.org/10.1016/j.ijresmar.2020.02.009

Van Heerde, Harald J., Christine Moorman, C. Page Moreau, and Robert W. Palmatier (2021), “Reality Check: Infusing Ecological Value into Academic Marketing Research,” Journal of Marketing, 85 (2), 1-13. https://doi.org/10.1177/0022242921992383

Wiegand, Nico, Maren Becker, Monika Imschloss, and Werner J. Reinartz (2020), “The Managerial Relevance of Marketing Science: Properties and Genesis,” SSRN Working Paper. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3553184

Jaworski, Bernard J. (2011), “On Managerial Relevance,” Journal of Marketing, 75 (4), 211-224. https://doi.org/10.1509/jmkg.75.4.211

Jedidi, Kamel, Bernd H. Schmitt, Malek Ben Sliman, and Yanyan Li (2021), “R2M Index 1.0: Assessing the Practical Relevance of Academic Marketing Articles,” Journal of Marketing, 85 (2), 22-41. https://doi.org/10.1177/00222429211028145

MacInnis, Deborah J., Vicki G. Morwitz, Simona Botti, Donna L. Hoffman, Robert V. Kozinets, Donald R. Lehmann, John G. Lynch Jr., and Cornelia Pechmann (2020), “Creating Boundary-Breaking, Marketing-Relevant Consumer Research,” Journal of Marketing, 84 (2), 1-23. https://doi.org/10.1177/0022242919889876

Cuervo-Cazurra, Alvaro, Paula Caligiuri, Ulf Andersson, and Mary Yoko Brannen (2013), “From the Editors: How to Write Articles that are Relevant to Practice,” Journal of International Business Studies, 44, 285-289. https://doi.org/10.1057/jibs.2013.17

Hauser, John R. (2016), “Phenomena, Theory, Application, Data, and Methods All Have Impact,” Journal of the Academy of Marketing Science, 45, 7-9. https://doi.org/10.1007/s11747-016-0498-1

How to craft a good manuscript?

Reinartz, Werner J. (2016), “Crafting a JMR Manuscript,” Journal of Marketing Research, 53 (1), 139-141. https://doi.org/10.1509/jmr.15.0343

Lindgreen, Adam and C. Anthony Di Benedetto (2021), “How Authors Really Frame a Top Manuscript,” Industrial Marketing Management, 94, A11-A17. https://doi.org/10.1016/j.indmarman.2020.04.004

Warren, Nooshin L., Matthew Farmer, Tianyu Gu, and Caleb Warren (2021), “Marketing Ideas: How to Write Research Articles that Readers Understand and Cite,” Journal of Marketing, 85 (5), 42-57. https://doi.org/10.1177/00222429211003560

Ragins, Belle R. (2012), “Editor’s Comments: Reflections on the Craft of Clear Writing,” Academy of Management Review, 37 (4), 493-501. https://doi.org/10.5465/amr.2012.0165

Palmatier, Robert W. (2016), “Improving Publishing Success at JAMS: Contribution and Positioning,” Journal of the Academy of Marketing Science, 44, 655-659. https://doi.org/10.1007/s11747-016-0497-2

How to review a paper?

Houston, Mark B. and John Hulland (2020), “Reviewers as Developmental Coaches,” Journal of the Academy of Marketing Science, 49, 1-4. https://doi.org/10.1007/s11747-020-00747-x

Verbeke, Alain, Mary Ann Von Glinow, and Yadong Luo (2017), “Becoming a Great Reviewer: Four Actionable Guidelines,” Journal of International Business Studies, 48, 1-9. https://doi.org/10.1057/s41267-016-0049-5

Bagchi, Rajesh, Lauren Block, Rebecca W. Hamilton, and Julie L. Ozanne (2017), “A Field Guide for the Review Process: Writing and Responding to Peer Reviews,” Journal of Consumer Research, 43 (5), 860-872. https://doi.org/10.1093/jcr/ucw066

Lehmann, Donald R. and Russell S. Winer (2017), “The Role and Impact of Reviewers on the Marketing Discipline,” Journal of the Academy of Marketing Science, 45, 587-592. https://doi.org/10.1007/s11747-016-0501-x

Holbrook, Morris B. (1986), “A Note on Sadomasochism in the Review Process: I Hate When That Happens,” Journal of Marketing, 50 (3), 104-108. https://doi.org/10.2307/1251588

Griffin, Abbie and Gloria Barczak (2020), “Effective Reviewing for Conceptual Journal Submissions,” AMS Review, 10, 36-48. https://doi.org/10.1007/s13162-020-00162-z

How to navigate the review process?

Moorman, Christine, James R. Bettman, Joel D. Huber, Mary Frances Luce, and Richard Staelin (2019), “Responding to Reviewers: Lessons from 30 Years of Editor Experience at Duke University,” in How to Get Published in the Best Marketing Journals, David W. Stewart and Daniel M. Ladik, eds. Cheltenham, UK: Elgar Publishing, 212-222. ISBN: 978 1 7881 1369 4

Moorman, Christina, Harald J. van Heerde, C. Page Moreau, and Robert Palmatier (2019), “Managing the Review Process at the Journal of Marketing,” AMA Blog Post. https://tinyurl.com/jmreviewprocess

Summers, John O. (2001), “Guidelines for Conducting Research and Publishing in Marketing: From Conceptualization Through the Review Process,” Journal of the Academy of Marketing Science, 29 (4), 405-415. https://doi.org/10.1177/03079450094243

Feldman, Daniel C. (2005), “Conversing with Editors: Strategies for Authors and Reviewers,” Journal of Management, 31 (5), 649-658. https://doi.org/10.1177/0149206305279051

LaPlaca, Peter, Adam Lindgreen, Joelle Vanhamme, and C. Anthony Di Benedetto (2018), “How to Revise, and Revise Really Well, for Premier Academic Journals,” Industrial Marketing Management, 72, 174-180. https://doi.org/10.1016/j.indmarman.2018.01.030

Grinstein, Amir (2022), “Thoughts on the Academic Review Process,” Personal Blog Post. https://tinyurl.com/grinsteinreviewprocess

Survey Research

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How to conduct surveys?

Hulland, John, Hans Baumgartner, and Keith Marion Smith (2018), “Marketing Survey Research Best Practices: Evidence and Recommendations from a Review of JAMS Articles,” Journal of the Academy of Marketing Science, 46 (1), 92-108. https://doi.org/10.1007/s11747-017-0532-y

Krosnick, Jon A. (1999), “Survey Research,” in Annual Review of Psychology, 50, 537-567. https://doi.org/10.1146/annurev.psych.50.1.537

Hox, Joop J., Edith D. de Leeuw, and Don A. Dillman (2008), “The Cornerstones of Survey Research,” in International Handbook of Survey Methodology, Edith D. de Leeuw, Joop J. Hox, and Don A. Dillman, eds. New York, NY: Taylor & Francis. ISBN: 978 0 8058 5752 8

Groves, Robert M., Floyd J. Fowler, Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer, and Roger Tourangeau (2009), Survey Methodology (2nd edition). Hoboken, NJ: Wiley. ISBN: 978 0 4704 6546 2

Dillman, Don A., Jolene D. Smith, Leah M. Christian (2014), Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method (4th edition). Hoboken, NJ: Wiley. ISBN: 978 1 1184 5614 9

How to conduct experiments?

Koschate-Fischer, Nicole and Stephen Schandelmeier (2014), “A Guideline for Designing Experimental Studies in Marketing Research and a Critical Discussion of Selected Problem Area,” Journal of Business Economics, 84, 793-826. https://doi.org/10.1007/s11573-014-0708-6

Mittal, Vikas (2016), “Conducting Experiments for Gaining Customer Insights: A Primer on Causal Research (Part 1 of 2),” SSRN Working Paper. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2711888

Morales, Andrea C., On Amir, and Leonard Lee (2017), “Keeping It Real in Experimental Research – Understanding When, Where, and How to Enhance Realism and Measure Consumer Behavior,” Journal of Consumer Research, 44 (2), 465-476. https://doi.org/10.1093/jcr/ucx048

Zellmer-Bruhn, Mary, Paula Caligiuri, and David C. Thomas (2016), “From the Editors: Experimental Designs in International Business Research,” Journal of International Business Studies, 47 (4), 399-407. https://doi.org/10.1057/jibs.2016.12

Vargas, Patrick T., Brittany R. L. Duff, and Ronald J. Faber (2017), “A Practical Guide to Experimental Advertising Research,” Journal of Advertising, 46 (1), 101-114. https://doi.org/10.1080/00913367.2017.1281779

Spilski, Anja, Andrea Gröppel-Klein, and Heribert Gierl (2018), “Avoiding Pitfalls in Experimental Research in Marketing,” Marketing ZFP, 40 (2), 58-91. https://doi.org/10.15358/0344-1369-2018-2-58

How to draw appropriate samples?

Reynolds, Nina L., Antonis C. Simintiras, and Adamantios Diamantopoulos (2003), “Theoretical Justification of Sampling Choices in International Marketing Research: Key Issues and Guidelines for Researchers,” Journal of International Business Studies, 34 (1), 80–89. https://doi.org/10.1057/palgrave.jibs.8400000

Bello, Daniel, Kwok Leung, Lee Radebaugh, Rosalie L. Tung, and Arjen van Witteloostuijn (2009), “From the Editors: Student Samples in International Business Research,” Journal of International Business Studies, 40 (3), 361–364. https://doi.org/10.1057/jibs.2008.101

Maxwell, Scott E., Ken Kelley, and Joseph R. Rausch (2008), “Sample Size Planning for Statistical Power and Accuracy in Parameter Estimation,” Annual Review of Psychology, 59 (1), 537–563. https://doi.org/10.1146/annurev.psych.59.103006.093735

Lohr, Sharon L. (2021), Sampling: Design and Analysis (3rd edition). Pacific Grove, CA: Duxbury Press. ISBN 978 0 4292 9889 9

How to deal with careless responding?

Arndt, Aaron D., John B. Ford, Barry J. Babin, and Vinh Luong (2022), “Collecting Samples from Online Services: How to Use Screeners to Improve Data Quality,” International Journal of Research in Marketing, 39 (1), 117-133. https://doi.org/10.1016/j.ijresmar.2021.05.001

Meade, Adam W. and S. Bartholomew Craig (2012), “Identifying Careless Responses in Survey Data,” Psychological Methods, 17 (3), 437-455. https://doi.org/10.1037/a0028085

Huang, Jason L., Paul G. Curran, Jessica Keeney, Elizabeth M. Poposki, and Richard P. DeShon (2012), “Detecting and Deterring Insufficient Effort Responding to Surveys,” Journal of Business Psychology, 27 (1), 99-114. https://doi.org/10.1007/s10869-011-9231-8

DeSimone, Justin A. and P. D. Harms (2018), “Dirty Data: The Effects of Screening Respondents Who Provide Low-Quality Data in Survey Research,” Journal of Business Psychology, 33 (5), 559-577. https://doi.org/10.1007/s10869-017-9514-9

Zhang, Chan and Frederick G. Conrad (2014), “Speeding in Web Surveys: The Tendency to Answer Very Fast and Its Association With Straightlining,” Survey Research Methods, 8 (2), 127-135. https://doi.org/10.18148/srm/2014.v8i2.5453

How to deal with common method variance?

MacKenzie, Scott B. and Philip M. Podsakoff (2012), “Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies,” Journal of Retailing, 88 (4), 542-555. https://doi.org/10.1016/j.jretai.2012.08.001

Baumgartner, Hans and Bert Wejters (2021), “Dealing with Common Method Variance in International Marketing Research,” Journal of International Marketing, 29 (3), 7-22. https://doi.org/10.1177/1069031X21995871

Baumgartner, Hans, Bert Wejters, and Rik Pieters (2021), “The Biasing Effect of Common Method Variance: Some Clarifications,” Journal of the Academy of Marketing Science, 49 (2), 221-235. https://doi.org/10.1007/s11747-020-00766-8

Chang, Sea-Jin, Arjen van Witteloostuijn, and Lorraine Eden (2010), “From the Editors: Common Method Variance in International Business Research,” Journal of International Business Studies, 41 (2), 178-184. https://doi.org/10.1057/jibs.2009.88

Lindell, Michael K. and David J. Whitney (2001), “Accounting for Common Method Variance in Cross-Sectional Research Designs,” Journal of Applied Psychology, 86 (1), 114-121. https://doi.org/10.1037/0021-9010.86.1.114

Williams, Larry J., Nathan Hartman, and Flavia Cavazotte (2010), “Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique,” Organizational Research Methods, 13 (3), 477-514. https://doi.org/10.1177/1094428110366036

Malhotra, Naresh K., Tracey King Schaller, and Ashutosh Patil (2017), “Common Method Variance in Advertising Research: When to Be Concerned and How to Control for It,” Journal of Advertising, 46 (1), 193-212. https://doi.org/10.1080/00913367.2016.1252287

How to deal with social desirability?

Steenkamp, Jan-Benedict E. M., Martijn G. de Jong, and Hans Baumgartner (2010), “Socially Desirable Response Tendencies in Survey Research,” Journal of Marketing Research, 47 (2), 199-214. https://doi.org/10.1509/jmkr.47.2.199

Johnson, Timothy P. and Fons J. R. van de Vijver (2002), “Social Desirability in Cross-Cultural Research,” in Cross-Cultural Survey Methods, Janet A. Harkness, Fons J. R. van de Vijver, and Peter Ph. Mohler, eds. New York, NY: Wiley. ISBN: 978 0 4713 8526 4

Robert J. Fisher, Robert J. (1993), “Social Desirability Bias and the Validity of Indirect Questioning,” Journal of Consumer Research, 20 (2), 303-315. https://doi.org/10.1086/209351

King, Maryon F. and Gordon C. Bruner (2000), “Social Desirability Bias: A Neglected Aspect of Validity Testing,” Psychology & Marketing, 17 (2), 79-103. https://doi.org/10.1002/(SICI)1520-6793(200002)17:2<79::AID-MAR2>3.0.CO;2-0

Maja Parmač Kovačić, Zvonimir Galić, Željko Jerneić (2014), “Social Desirability Scales as Indicators of Self-Enhancement and Impression Management,” Journal of Personality Assessment, 96 (5), 532-543. https://doi.org/10.1080/00223891.2014.916714

De Jong, Martijn G., Rik Pieters, and Jean-Paul Fox (2010), “Reducing Social Desirability Bias Through Item Randomized Response: An Application to Measure Underreported Desires,” Journal of Marketing Research, 47 (1), 14-27. https://doi.org/10.1509/jmkr.47.1.14 

Paulhus, Delroy L. (1991), “Measurement and Control of Response Bias,” in Measures of Personality and Social Psychological Attitudes, John P. Robinson, Phillip R. Shaver, and Lawrence S. Wright, eds. San Diego, CA: Academic Press. ISBN: 978 0 1259 0244 1

Measurement

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How to select measurement scales?

Haws, Kelly L., Kevin L. Sample, and John Hulland (2022), “Scale Use and Abuse: Towards Best Practices in the Deployment of Scales,” Journal of Consumer Psychology, forthcoming. https://doi.org/10.1002/jcpy.1320

Katsikeas, Constantine S., Shilpa Mada, Miguel Brendl, Bobby J. Calder, Donald R. Lehmann, Hans Baumgartner, Bert Weijters, Mo Wang, Chengquan Huang, and Joel Huber (2022), “Commentaries on ‘Scale Use and Abuse: Towards Best Practices in the Deployment of Scales’,” Journal of Consumer Psychology, forthcoming. https://doi.org/10.1002/jcpy.1319

Diamantopoulos, Adamantios, Marko Sarstedt, Christoph Fuchs, Petra Wilczynski, and Sebastian Kaiser (2012), “Guidelines for Choosing Between Multi-Item and Single-Item Scales for Construct Measurement: A Predictive Validity Perspective,” Journal of the Academy of Marketing Science, 40, 434-449. https://doi.org/10.1007/s11747-011-0300-3

Bergkvist, Lars and John R. Rossiter (2007), “The Predictive Validity of Multiple-Item Versus Single-Item Measures of the Same Construct,” Journal of Marketing Research, 44 (2), 175-184. https://doi.org/10.1509/jmkr.44.2.175

Fuchs, Christoph and Adamantios Diamantopoulos (2009), “Using Single-Item Measures for Construct Measurement in Management Research,” Die Betriebswirtschaft, 69 (2), 195-210.

Böckenholt, Ulf and Donald R. Lehmann (2015), “On the Limits of Research Rigidity: The Number of Items in a Scale,” Marketing Letters, 26, 257-260. https://doi.org/10.1007/s11002-015-9373-y

Nielsen, Bo B. and Arpit Raswant (2021), “The Selection, Use, and Reporting of Control Variables in International Business Research: A Review and Recommendations,” Journal of World Business, 53 (6), 958-968. https://doi.org/10.1016/j.jwb.2018.05.003

Klarmann, Martin and Sven Feurer (2018), “Control Variables in Marketing Research,” Marketing ZFP, 40 (2), 26-40. http://dx.doi.org/10.15358/0344-1369-2018-2-26

How to develop a measurement scale?

Churchill, Gilbert A. (1979), “A Paradigm for Developing Better Measures of Marketing Constructs,” Journal of Marketing Research, 16 (1), 64‐73. https://doi.org/10.1177/002224377901600110

Gerbing, David W. and James C. Anderson (1988), “An Updated Paradigm for Scale Development Incorporating Unidimensionality in Its Assessment,” Journal of Marketing Research, 25 (2), 186‐192. https://doi.org/10.1177/002224378802500207

MacKenzie, Scott B., Philip M. Podsakoff, and Nathan P. Podsakoff (2011), “Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques,” MIS Quarterly, 35 (2), 293-334. https://doi.org/10.2307/23044045

DeVellis Robert F. (2012), Scale Development: Theory and Application (3rd edition). Los Angeles, CA: Sage Publications. ISBN: 978 1 4129 8044 9

Clark, Lee A. and David Watson (1995), “Constructing Validity: Basic Issues in Objective Scale Development,” Psychological Assessment, 7 (3), 309-319. https://doi.org/10.1037/1040-3590.7.3.309

De Jong, Martijn, Jan-Benedict E. M. Steenkamp, and Bernard P. Veldkamp (2009), “A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales,” Marketing Science, 28 (4), 674-689. https://doi.org/10.1287/mksc.1080.0439

Rossiter, John R. (2002), “The C‐OAR‐SE Procedure for Scale Development in Marketing,” International Journal of Research in Marketing, 19 (4), 305‐335. https://doi.org/10.1016/S0167-8116(02)00097-6

Diamantopoulos, Adamantios and Heidi M. Winklhofer (2001), “Index Construction with Formative Indicators: An Alternative to Scale Development,” Journal of Marketing Research, 38 (2), 269-277. https://doi.org/10.1509/jmkr.38.2.269.18845 

On reflective vs. formative measurement

Bollen, Kenneth A. and Shawn Bauldry (2011), “Three Cs in Measurement Models: Causal Indicators, Composite Indicators, and Covariates,” Psychological Methods, 16 (3), 265-284. https://doi.org/10.1037/a0024448

Jarvis, Cheryl B., Scott B. MacKenzie, and Philip M. Podsakoff (2003), “A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research,” Journal of Consumer Research, 30 (2), 199-218. https://doi.org/10.1086/376806

Howell, Roy D., Einar Breivik, and James B. Wilcox (2007), “Reconsidering Formative Measurement,” Psychological Methods, 12 (2), 205-218. https://doi.org/10.1037/1082-989X.12.2.205

Diamantopoulos, Adamantios, Petra Riefler, and Katharina P. Roth (2008), “Advancing Formative Measurement Models,” Journal of Business Research, 61, 1203-1218. https://doi.org/10.1016/j.jbusres.2008.01.009

Petter, Stacie, Detmar Straub, and Arun Rai (2007), “Specifying Formative Constructs in Information Systems Research,” MIS Quarterly, 31 (4), 623-656. https://doi.org/10.2307/25148814

Cadogan, John W. and Nick Lee (2013), “Improper Use of Endogenous Formative Variables,” Journal of Business Research, 66 (2), 233-241. https://doi.org/10.1016/j.jbusres.2012.08.006

Chang, Woojung, George R. Franke, and Nick Lee (2016), “Comparing Reflective and Formative Measures: New Insights from Relevant Simulations,” Journal of Business Research, 69 (8), 3177-3185. https://doi.org/10.1016/j.jbusres.2015.12.006

How to deal with complex (multidimensional and higher-order) constructs?

Jarvis, Cheryl B., Scott B. MacKenzie, and Philip M. Podsakoff (2003), “A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research,” Journal of Consumer Research, 30 (2), 199-218. https://doi.org/10.1086/376806

Law, Kenneth S., Chi-Sum Wong, and William H. Mobley (1998), “Toward a Taxonomy of Multidimensional Constructs,” Academy of Management Review, 23 (4), 741-755. https://doi.org/10.2307/259060

Lee, Nick and John Cadogan (2012), “Problems with Formative and Higher-Order Reflective Variables,” Journal of Business Research, 66 (2), 242-247. https://doi.org/10.1016/j.jbusres.2012.08.004

Koufteros, Xenophon, Sunil Babbar, and Mehdi Kaighobadi (2009), “A Paradigm for Examining Second-Order Factor Models Employing Structural Equation Modeling,” International Journal of Production Economics, 120, 633-652. https://doi.org/10.1016/j.ijpe.2009.04.010

How to translate measurement scales?

Behling, Orlando and Kenneth S. Law (2000), Translating Questionnaires and Other Research Instruments: Problems and Solutions (Series: Quantitative Applications in the Social Sciences, No. 133). Thousand Oaks, CA: Sage Publications. https://dx.doi.org/10.4135/9781412986373

Behr, Dorothée and Kuniaki Shishido (2016), “The Translation of Measurement Instruments for Cross-Cultural Surveys,” in The SAGE Handbook of Survey Methodology, Christof Wolf, Dominique Joye, Tom W. Smith, and Yang-Chih Fu, eds. Thousand Oaks, CA: Sage Publications. ISBN: 978 1 4462 8266 3

Geisinger, Kurt F. (1994), “Cross-Cultural Normative Assessment: Translation and Adaptation Issues Influencing the Normative Interpretation of Assessment Instruments,” Psychological Assessment, 6 (4), 304-312. https://doi.org/10.1037/1040-3590.6.4.304

Harkness, Janet A. (2003), “Questionnaire Translation,” in Cross-Cultural Survey Methods, Janet A. Harkness, Fons van de Vijver, and Peter Ph. Mohler, eds. Hoboken, NJ: John Wiley & Sons, 35-56. ISBN: 978 0 4713 8526 4

Harkness, Janet, Beth-Ellen Pennell, and Alisú Schoua-Glusberg (2004), “Survey Questionnaire Translation and Assessment,” in Methods for Testing and Evaluating Survey Questionnaires, Stanley Presser, Jennifer M. Rothgeb, Mick P. Couper, Judith T. Lessler, Elizabeth Martin, Jean Martin, and Eleanor Singer, eds. Hoboken, NJ: John Wiley & Sons. ISBN: 978 0 4714 5841 8

How to assess measurement invariance?

Steenkamp, Jan-Benedict E. M. and Hans Baumgartner (1998), “Assessing Measurement Invariance in Cross-National Consumer Research,” Journal of Consumer Research, 25 (1), 78-90. https://doi.org/10.1086/209528 

Steenkamp, Jan-Benedict E. M. and Alberto Maydeu-Olivares (2020), “An Updated Paradigm for Evaluating Measurement Invariance Incorporating Common Method Variance and Its Assessment,” Journal of the Academy of Marketing Science, 49 (1), 5-29. https://doi.org/10.1007/s11747-020-00745-z 

Vandenberg, Robert J. and Charles E. Lance (2000), “A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research,” Organizational Research Methods, 3 (1), 4-70. https://doi.org/10.1177/109442810031002 

Mullen, Michael R. (1995), “Diagnosing Measurement Equivalence in Cross-National Research,” Journal of International Business Studies, 26 (3), 573-596. https://doi.org/10.1057/palgrave.jibs.8490187 

Cheung, Gordon W. and Roger B. Rensvold (2002), “Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance,” Structural Equation Modeling: A Multidisciplinary Journal, 9 (2), 233-255. https://doi.org/10.1207/S15328007SEM0902_5 

Diamantopoulos, Adamantios and Nicolas Papadopoulos (2010), “Assessing the Cross-National Invariance of Formative Measures: Guidelines for International Business Researchers,” Journal of International Business Studies, 41 (2), 360-370. https://doi.org/10.1057/jibs.2009.37

Data Analysis

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Regression analysis

Cohen, Jacob, Patricia Cohen, Stephen G. West, and Leona S. Aiken (2002), Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (3rd edition). New York, NY: Routledge. https://doi.org/10.4324/9780203774441

Skiera, Bernd, Jochen Reiner, and Sönke Albers (2018), “Regression Analysis,” in Handbook of Market Research, Christian Homburg, Martin Klarmann, and Arnd Vomberg, eds. Cham: Springer. https://doi.org/10.1007/978-3-319-05542-8_17-1

Lewis-Beck, Colin and Michael S. Lewis-Beck (2016), Applied Regression: An Introduction (2nd edition). Thousand Oaks, CA: Sage Publications. https://doi.org/10.4135/9781483396774

Frost, Jim (2019), Regression Analysis: An Intuitive Guide. https://statisticsbyjim.com

Mediation and moderation analysis

Hayes, Andrew F. (2018), Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd edition). New York, NY: Guilford Press. https://lccn.loc.gov/2017039263

Koschate-Fischer, Nicole and Elisabeth Schwille (2017), “Mediation Analysis in Experimental Research,” in: Christian Homburg, Martin Klarmann, and Arnd Vomberg (eds.), Handbook of Marketing Research. Cham: Springer. https://doi.org/10.1007/978-3-319-05542-8_34-1

Spiller, Stephen A., Gavan J. Fitzsimons, John G. Lynch Jr., and Gary H. McClelland (2013), “Spotlights, Floodlights, and the Magic Number Zero: Simple Effects Tests in Moderated Regression,” Journal of Marketing Research, 50 (2), 277-288. https://doi.org/10.1509/jmr.12.0420

Krishna, Aradhna (2016), “A Clearer Spotlight on Spotlight: Understanding, Conducting, and Reporting,” Journal of Consumer Psychology, 26 (3), 315-324. https://doi.org/10.1016/j.jcps.2016.04.001

Shaver, J. Myles (2005), “Testing for Mediating Variables in Management Research: Concerns, Implications, and Alternative Strategies,” Journal of Management, 31 (3), 330-353. https://doi.org/10.1177/0149206304272149

Hierarchical linear models

Raudenbush, Stephen W. and Anthony S. Bryk (2002). Hierarchical Linear Models: Applications and Data Analysis Methods. Thousand Oaks, CA: Sage Publications. ISBN: 978 0 7619 1904 9

Hox, Joop J. (2010), Multilevel Analysis: Techniques and Applications (2nd edition). New York, NY: Routledge. ISBN: 978 1 8487 2846 2

Snijders, Tom A. B., and Roel J. Bosker (1999), Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. Thousand Oaks, CA: Sage Publications. ISBN: 978 1 8492 0201 5

Maas, Cora J. M. and Joop J. Hox (2005), “Sufficient Sample Sizes for Multilevel Modeling,” Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 1 (3), 86-92. https://doi.org/10.1027/1614-2241.1.3.86

Structural equation models

Iacobucci, Dawn (2009), “Everything You Always Wanted to Know About SEM (Structural Equations Modeling) But Were Afraid to Ask,” Journal of Consumer Psychology, 19 (4), 673-680. https://doi.org/10.1016/j.jcps.2009.09.002

Davvetas, Vasileios, Adamantios Diamantopoulos, Ghasem Zaefarian, and Christina Sichtmann (2020), “Ten Basic Questions About Structural Equations Modeling You Should Know the Answers to – But Perhaps You Don’t,” Industrial Marketing Management, 90, 252-263. https://doi.org/10.1016/j.indmarman.2020.07.016

Bagozzi, Richard P. and Youjae Yi (2012), “Specification, Evaluation, and Interpretation of Structural Equation Models,” Journal of the Academy of Marketing Science, 40 (1), 8-34. https://doi.org/10.1007/s11747-011-0278-x

Iacobucci, Dawn (2010), “Structural Equations Modeling: Fit Indices, Sample Size, and Advanced Topics,” Journal of Consumer Psychology, 20 (1), 90-98. https://doi.org/10.1016/j.jcps.2009.09.003

Reinartz, Werner, Michael Haenlein, and Jörg Henseler (2009), “An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM,” International Journal of Research in Marketing, 26 (4), 332-344. https://doi.org/10.1016/j.ijresmar.2009.08.001

Vector autoregressive models

Colicev, Anatoli and Koen H. Pauwels (2020), “Multiple Time Series Analysis for Organizational Research,” Long Range Planning, forthcoming. https://doi.org/10.1016/j.jcps.2009.09.003

Pauwels, Koen H. (2017), “Modern (Multiple) Time Series Models: The Dynamic System,” in: Peter S. H. Leeflang, Jaap E. Wieringe, Tammo H. A. Bijmolt, and Koen H. Pauwels (eds.), Advanced Methods for Modeling Markets. Cham: Springer. https://doi.org/10.1007/978-3-319-53469-5_4

Srinivasan, Shuba (2022), “Modeling Marketing Dynamics Using Vector Autoregressive (VAR) Models,” in Handbook of Market Research, Christian Homburg, Martin Klarmann, and Arnd Vomberg, eds. Cham: Springer. https://doi.org/10.1007/978-3-319-57413-4_10 

Event history/hazard models

Sorescu, Alina, Nooshin L. Warren, and Larisa Ertekin (2017), “Event Study Methodology in the Marketing Literature: An Overview,” Journal of the Academy of Marketing Science, 45, 186-207. https://doi.org/10.1007/s11747-017-0516-y

Kothari, S. P. and Jerold B. Warner (2007), “Econometrics of Event Studies.” In B.
Espen Eckbo (Ed.), Handbook of Empirical Corporate Finance SET, 1 (pp. 3-36). Elsevier. https://doi.org/10.1016/B978-0-444-53265-7.50015-9

McWilliams, A., & Siegel, D. (1997), “Event Studies in Management Research: Theoretical and Empirical Issue,” Academy of Management Journal, 40 (3), 626-657. https://journals.aom.org/doi/abs/10.5465/257056

Skiera, Bernd, Emanuel Bayer, and Lisa Schöler (2016), “What Should Be the Dependent Variable in Marketing-related Event Studies? International Journal of Marketing Research, 34 (3), 641-659. https://doi.org/10.1016/j.ijresmar.2017.01.002

Meta-analysis

Hunter, John. E. and Frank L. Schmidt (2015), Methods of Meta-Analysis: Correcting Error and Bias in Research Findings, 3rd edition. Thousand Oaks, CA: Sage Publications. https://dx.doi.org/10.4135/9781483398105

Lipsey, Mark W. and David B. Wilson (2001), Practical Meta-Analysis. Thousand Oaks, CA: Sage Publications. ISBN 978 0 7619 2168 4

Steel, Piers, Sjoerd Beugelsdijk, and Herman Aguinis (2021), “The Anatomy of an Award-Winning Meta-Analysis: Recommendations for Authors, Reviewers, and Readers of Meta-Analytical Reviews,” Journal of International Business Studies, 52, 23-44. https://doi.org/10.1057/s41267-020-00385-z

Grewal, Dhruv, Nancy Puccinelli, and Kent B. Monroe (2018), “Meta-Analysis: Integrating Accumulated Knowledge,” Journal of the Academy of Marketing Science, 46, 9-30. https://doi.org/10.1007/s11747-017-0570-5

Cheung, Mike W.-L. (2015), Meta-Analysis: A Structural Equation Modeling Approach. Chichester, UK: John Wiley & Sons. ISBN: 978 1 1199 9343 8

Borenstein, Michael, Larry V. Hedges, Julian P. T. Higgins, and Hannah R. Rothstein (2021), Introduction to Meta-Analysis (2nd edition). Hoboken, NJ: John Wiley & Sons. ISBN 978 1 1195 5835 4

Bibliometric analysis

Donthu, Naveen, Satish Kumar, Debmalya Mukherjee, Nitesh Pandey, and Weng Marc Lim (2021), “How to Conduct a Bibliometric Analysis: An Overview and Guidelines,” Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070 

Samiee, Saeed and Brian R. Chabowski (2012), “Knowledge Structure in International Marketing: A Multi-Method Bibliometric Analysis,” Journal of the Academy of Marketing Science, 40 (2), 364386. https://doi.org/10.1007/s11747-011-0296-8 

Aria, Massimo and Corrado Cuccurullo (2017), “bibliometrix: An R-tool for Comprehensive Science Mapping Analysis,” Journal of Informetrics, 11 (4), 959975. https://doi.org/10.1016/j.joi.2017.08.007 

van Eck, Nees J. and Ludo Waltman (2010), “Software Survey: VOSviewer, a Computer Program for Bibliometric Mapping,” Scientometrics, 84 (2), 523-538. https://doi.org/10.1007/s11192-009-0146-3

Conjoint analysis

Steiner, Michael and Martin Meißner (2018), “A User’s Guide to the Galaxy of Conjoint Analysis and Compositional Preference Measurement,” Marketing ZfP, 40, 3-25. https://doi.org/10.15358/0344-1369-2018-2-3

Eggers, Felix, Henrik Sattler, Thorsten Teichert, and Franziska Völckner (2018), “Choice-Based Conjoint Analysis,” in: Christian Homburg, Martin Klarmann, and Arnd Vomberg (eds.), Handbook of Marketing Research. Cham: Springer. https://doi.org/10.1007/978-3-319-05542-8_23-1

Special Topics

Dummy
Causal Inference

Pearl, Judea (2009), Causality: Models, Reasoning, and Inference (2nd edition). Cambridge, UK: Cambridge University Press. ISBN 978 0 5218 9560 6

Pearl, Judea (2009), “Causal Inference in Statistics: An Overview,” Statistics Surveys, 3, 96-146. https://doi.org/10.1214/09-SS057 

Shadish, William R., Thomas D. Cook, and Donald T. Campbell (2002), Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston, MA: Houghton Mifflin and Company. ISBN 9 780 3956 1556 0

Antonakis, John, Samuel Bendahan, Philippe Jacquart, and Rafael Lalive (2010), “On Making Causal Claims: A Review and Recommendations,” The Leadership Quarterly, 21, 1086-1120. https://doi.org/10.1016/j.leaqua.2010.10.010 

Imai, Kosuke, Luke Keele, Dustin Tingley, and Teppei Yamamoto (2011), “Unpacking the Black Box of Causality: Learning About Causal Mechanisms from Experimental and Observational Studies,” American Political Science Review, 105 (4), 765-789. https://doi.org/10.1017/S0003055411000414 

Endogeneity

Ebbes, Peter, Dominik Papies, and Harald van Heerde (2016), “Dealing with Endogeneity: A Nontechnical Guide for Marketing Researchers,” in Handbook of Market Research, Homburg, Christian, Martin Klarmann, and Arnd Vomberg, eds. Cham, CH: Springer International Publishing, 1-14. https://doi.org/10.1007/978-3-319-05542-8_8-1

Bascle, Guilhem (2008), “Controlling for Endogeneity with Instrumental Variables in Strategic Management Research,” Strategic Organization, 6 (3), 285-327. https://doi.org/10.1177/1476127008094339

Park, Sungho and Sachin Gupta (2012), “Handling Endogenous Regressors by Joint Estimation Using Copulas,” Marketing Science, 31 (4), 567-586. http://dx.doi.org/10.1287/mksc.1120.0718

Zaefarian, Ghasem, Vita Kadile, Stephan C. Henneberg, and Alexander Leischnig (2017), “Endogeneity Bias in Marketing Research: Problem, Causes and Remedies,” Industrial Marketing Management, 65, 39-46. https://doi.org/10.1016/j.indmarman.2017.05.006

Sande, Jon Bingen and Mrinal Ghosh (2018), “Endogeneity in Survey Research,” International Journal of Research in Marketing, 35 (2), 185-204. https://doi.org/10.1016/j.ijresmar.2018.01.005

Multicollinearity

Lindner, Thomas, Jonas Puck, and Alain Verbeke (2020), “Misconceptions About Multicollinearity in International Business Research: Identification, Consequences, and Remedies,” Journal of International Business Studies, 51, 283-298. https://doi.org/10.1057/s41267-019-00257-1

Lindner, Thomas, Jonas Puck, and Alain Verbeke (2022), “Beyond Addressing Multicollinearity: Robust Quantitative Analysis and Machine Learning in International Business Research,” Journal of International Business Studies, forthcoming. https://doi.org/10.1057/s41267-022-00549-z 

Chennamaneni, Pavan R., Raj Echambadi, James D. Hess, and Niladri Syam (2016), “Diagnosing Harmful Collinearity in Moderated Regressions: A Roadmap,” International Journal of Research in Marketing, 33 (1), 172-182. https://doi.org/10.1016/j.ijresmar.2015.08.004

Mason, Charlotte H. and William D. Perreault Jr. (1991), “Collinearity, Power, and Interpretation of Multiple Regression Analysis,” Journal of Marketing Research, 28 (3), 268-280. https://doi.org/10.1177/002224379102800302

Missing data

Little, Roderick J. A. and Donald B. Rubin (2019), Statistical Analysis with Missing Data, 3rd edition. Hoboken, NJ: John Wiley & Sons. https://doi.org/10.1002/9781119482260

Graham, John W. (2009), “Missing Data Analysis: Making It Work in the Real World,” Annual Review of Psychology, 60, 549-576. https://doi.org/10.1146/annurev.psych.58.110405.085530 

Schafer, Joseph L. and John W. Graham (2002), “Missing Data: Our View of the State of the Art,” Psychological Methods, 7 (2), 147-177. https://doi.org/10.1037/1082-989X.7.2.147

Effect sizes

Ellis, Paul D. (2010), “Effect Sizes and the Interpretation of Research Results in International Business,” Journal of International Business Studies, 41, 1581-1588. https://doi.org/10.1057/jibs.2010.39

Gignac, Gilles E. and Eva T. Szodorai (2016), “Effect Size Guidelines for Individual Differences Researchers,” Personality and Individual Differences, 102, 74-78. https://doi.org/10.1016/j.paid.2016.06.069

Bosco, Fran A., Herman Aguinis, Kulraj Singh, James G. Field, and Charles A. Pierce (2015), “Correlational Effect Size Benchmarks,” Journal of Applied Psychology, 100 (2), 431-449. https://doi.org/10.1037/a0038047

Preacher, Kristopher J. and Ken Kelley (2011). “Effect Size Measures for Mediation Models: Quantitative Strategies for Communicating Indirect Effects,” Psychological Methods, 16 (2), 93–115. https://doi.org/10.1037/a0022658

Latent interactions

Marsh, Herbert W., Zhonglin Wen, and Kit-Tai Hau (2004), “Structural Equation Models of Latent Interactions: Evaluation of Alternative Estimation Strategies and Indicator Construction,” Psychological Methods, 9 (3), 275-300. https://doi.org/10.1037/1082-989X.9.3.275

Muthén, Bengt and Tihomir Asparouhov (2003), “Modeling Interactions Between Latent and Observed Continuous Variables Using Maximum-Likelihood Estimation in Mplus,” Mplus Web Notes, No. 6, 1-9. https://www.statmodel.com/download/webnotes/webnote6.pdf

Klein, Andreas and Helfried Moosbrugger (2000), “Maximum Likelihood Estimation of Latent Interaction Effects with the LMS Method”, Psychometrika, 65 (4), 457-474. https://doi.org/10.1007/BF02296338

Visualization

Tufte, Edward R. (2007), The Visual Display of Quantitative Information, 2nd edition. Cheshire, CT: Graphics Press. ISBN: 978 1 9308 2413 3

McCabe, Connor J., Dale S. Kim, and Kevin M. King (2018), “Improving Present Practices in the Visual Display of Interactions,” Advances in Methods and Practices in Psychological Science, 1(2), 147-165. https://doi.org/10.1177/2515245917746792

Literature reviews

Littell, Julia H., Jacqueline Corcoran, and Vijayan Pillai (2008), Systematic Reviews and Meta-Analysis. New York: Oxford University Press. ISBN: 978 0 1953 2654 3

Short, Jeremy (2009), “The Art of Writing a Review Article,” Journal of Management, 35 (6), 1312-1317. https://doi.org/10.1177/0149206309337489 

Hulland, John and Mark B. Houston (2020), “Why Systematic Review Papers and Meta-Analyses Matter: An Introduction to the Special Issue on Generalizations in Marketing,” Journal of the Academy of Marketing Science, 48, 351-359. https://doi.org/10.1007/s11747-020-00721-7

Palmatier, Robert W., Mark B. Houston, and John Hulland (2018), “Review Articles: Purpose, Process, and Structure,” Journal of the Academy of Marketing Science, 46, 1-5. https://doi.org/10.1007/s11747-017-0563-4

Aguinis, Herman, Ravi S. Ramani, and Nawaf Alabduljader (2020), “Best-Practice Recommendations for Producers, Evaluators, and Users of Methodological Literature Reviews,” Organizational Research Methods, 1-31. https://doi.org/10.1177/1094428120943281

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