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Course: 2026.1 - MSc - Quantitative Research Methods in Administration (Master's)
Course: MQPA - Quantitative Research Methods in Administration
Workload: 45 hours (3 credits)
Level: Master's
Professors: Dr. Graziela Rodrigues and Dr. Luiz Pinheiro
I - OBJECTIVES:
Understand the means and strategies for designing quantitative research in administration.
Apply quantitative techniques in the analysis and production of data in the field of administration.
Evaluate the results of academic and professional-market quantitative research in administration.
II - SYLLABUS
Overview of quantitative research.
Quantitative research problems, hypotheses and constructs – hypothesis-building workshop
Questionnaire design and Quantitative Matrix – Building an instrument
Survey application, sampling and selection – Data collection
Quantitative analysis models.
Data analysis: Descriptive statistics and hypothesis testing.
Data analysis: Regression and correlation.
Presentation of the research output
III - METHODOLOGY
Student-led presentations (30 minutes per team): 20
Discussions and debates on theoretical-empirical studies (30 minutes for the class): 10
Critical reviews of articles: 10
Research: Data collection and descriptive data analysis (a): 15
Research: Quantitative data analysis (b): 15
Final Product delivery (c): 30
a) Research - Data Collection and Descriptive Analysis (group):
Write about the research methodology, variables, sample and data collection.
Carry out the data collection.
Present the descriptive statistics of the variables.
b) Research - Detailed Analysis (group):
Quantitative data analysis.
Presentation of results (correlation/regression), limitations and future research.
c) Submission of a Quantitative Research proposal (individual):
Introduction: context of the topic, presentation of the research problem and the theoretical and practical relevance of the research
Literature review: a general (brief) review of the most relevant concepts, theories and studies.
Proposed model and hypotheses with justifications.
Methodology: the quantitative technique to be used for data analysis, sample, data collection strategy, etc.
IV - DETAILED SCHEDULE
CLASS/DATE: 001 - Mar 25, 2026 (Wednesday)
TOPIC: Open Class - Prof. Graziela
Required reading:
Fiates, G. G. S., Serra, F. A. R., & Martins, C. (2014). A aptidão dos pesquisadores brasileiros pertencentes aos programas de pós-graduação stricto sensu em Administração para pesquisas quantitativas. RAUSP, 49(2), 384-398. Link: https://www.sciencedirect.com/science/article/pii/S0080210716303533
do Prado Pagotto, D., & Borges, C. (2023). Pesquisa quantitativa em empreendedorismo e o apoio do software R para análise de dados. REGEPE Entrepreneurship and Small Business Journal, 12(2).
Link: https://regepe.emnuvens.com.br/regepe/article/view/2257/62
Agenda:
Personal introductions: professor and students;
Course presentation;
Proposal presentation;
Team formation;
Discussion of the master's journey
Presentation of the Administration Divisions and Topic Definition
Discussion of quantitative and mixed methods in Administration
Overview of quantitative research in administration (required reading)
Deliverable: Division of presentations and teams for group work.
CLASS/DATE: 002 - Mar 28, 2026 (Saturday)
TOPIC: Quantitative research problems, hypotheses and constructs – hypothesis-building workshop
STUDENT: Gabriel - Prof. Graziela
Required readings:
1) Creswell, J. W. (2021) Book: Projeto de Pesquisa: Métodos qualitativo, quantitativo e misto. Editora Artmed-Bookman, 2010. Reading - Chapter 7: Questões e hipóteses de pesquisa e Chapter 3: O uso da teoria (Uso de teoria quantitativa).
2) Richardson, R. (1999). Book: Pesquisa social: métodos e técnicas. 3a ed. São Paulo: Atlas,1999. Reading: Chapter 7: Formulação de Hipóteses.
Deliverable: Hypothesis workshop.
CLASS/DATE: 003 - Apr 15, 2025 (Wednesday)
TOPIC: Survey application, sampling and selection – Data collection - Quantitative analysis models.
STUDENT: Fernanda - Prof. Graziela
Required readings:
1) Creswell, J. W. (2021) Book: Projeto de Pesquisa: Métodos qualitativo, quantitativo e misto. Editora Artmed-Bookman, 2010. Reading - Chapter 8: Métodos Quantitativos.
2) Babbie, E. (1999). Métodos de pesquisas de survey. Belo Horizonte: Editora da UFMG, 1999. Reading - Chapter 5: A Lógica da Amostragem do Survey.
Deliverable: Building a quantitative model and a questionnaire for data collection.
CLASS/DATE: 004 - Apr 18, 2026 (Saturday)
TOPIC: Questionnaire design and Quantitative Matrix – Building an instrument
STUDENTS: Atani and Lucas - Prof. Pinheiro
Required readings:
1) Günther, H. (2003). Como Elaborar um Questionário (Série: Planejamento de. Pesquisa nas Ciências Sociais, Nº 01). Brasília, DF: UnB.
Link: https://www.ic.unicamp.br/~wainer/cursos/2s2006/epistemico/01Questionario.pdf
2) Telles, R. (2001). A efetividade da matriz de amarração de Mazzon nas pesquisas em Administração. RAUSP, 36(4). Available at: http://rausp.usp.br/wp-content/uploads/files/v36n4p64ap72.pdf
3) Macedo, K. A. P., & Lhamas, F. A. M. P. (2025). Impactos do uso de IA no comportamento discente na Educação Superior: Revisão teórica para formação de uma escala de mensuração. XLIX Encontro da ANPAD - EnANPAD 2025, Aracaju, SE, Brasil. Link: https://anpad.com.br/uploads/articles/142/approved/e51ada1e23f810eb1b51a18bb6825f85.pdf
Deliverable: Alignment Matrix (Matriz de Amarração).
Supplementary reading:
1) James M. Crick & David Crick (2025) Designing robust electronic surveys in marketing research, Journal of Strategic Marketing, 33:5, 559-572, DOI: 10.1080/0965254X.2025.2468679.
CLASS/DATE: 005 - May 13, 2026 (Wednesday)
TOPIC: Survey application, sampling and selection – Data collection - Quantitative analysis models.
STUDENTS: Ana Paula and Maria Carolina - Prof. Graziela
Required readings:
1) Rodrigues, G. P., de Brito, C. S. M., Moreno, R. B., Toaldo, A. M. M., Prado, P. H. M., & Marchetti, R. Z. (2020). The Mediator Role of Sales Force Management Capability on the Relation between Market Orientation and Financial Performance. Teoria e Prática em Administração, 10(1), 71-83. Available at: https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=1&sid=e59acaf0-81df-4fa0-882b-bda54198a0c4%40redis
2) Oncioiu, I., Petrescu, A. G., Bîlcan, F. R., Petrescu, M., Popescu, D. M., & Anghel, E. (2020). Corporate sustainability reporting and financial performance. Sustainability, 12(10), 4297. Available at: https://www.mdpi.com/2071-1050/12/10/4297
Deliverable: Descriptive analysis of the collected data.
Supplementary reading:
1) Hair, J. F., Lopes, E. L., Gabriel, M. L., Bizarrias, F. S., & da Silva, D. (2025). Coffee, Data and Jamovi: The Perfect Recipe for great Statistical Analysis. Journal of Sustainable Institutional Management, 12, e0178-e0178.
2) Rogers, P. (2022). Melhores práticas para sua análise fatorial exploratória: tutorial no factor. Revista de Administração Contemporânea, 26, e210085.
3) Dias, P. D. S., Silva, H. V. R. S., & de Cássia Macedo, R. (2019). Estatísticas multivariadas na administração: importância e aplicação da análise fatorial exploratória. Revista Eletrônica de Administração e Turismo-ReAT, 13(1), 1807-1828.
CLASS/DATE: 006 - May 16, 2026 (Saturday)
TOPIC: Descriptive statistics and hypothesis testing
STUDENTS: Moisés and Lucimeire - Prof. Pinheiro
Required readings:
1) Ferreira, M. A construção de hipóteses, Revista Ibero Americana de Estratégia, Vol. 12, n. 4, p. 1-8, 2013.
2) Pinheiro, L., & Frega, J. R. (2017). Nota Eletrônica: Um estudo comparativo nas Empresas do Brasil x Espanha. XLI Encontro da ANPAD - EnANPAD 2017, São Paulo, SP, Brasil.
Deliverable: Research proposal (topic, research question, objectives, theoretical and practical relevance).
CLASS/DATE: 007 - May 27, 2026 (Wednesday)
TOPIC: Correlation and Regression
STUDENTS: Indianara and Liliane - Prof. Graziela
Required readings:
1) Larson, R. Farber, B. (2015). eBook: Estatística Aplicada. São Paulo: Pearson, 6ª ed. Chapter 9: Correlação e regressão (p. 437).
2) Hair, J. F., Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning. Chapter 5: Multiple Regression Analysis.
Deliverable: Exercise - Correlation and regression analysis (Jamovi).
CLASS/DATE: 008 - May 30, 2026 (Saturday)
TOPIC: Correlation and Regression
STUDENTS: André and Natalia - Prof. Pinheiro
Required readings:
1) Oliveira, I. G. S., Nakamura, W. T., & Cardoso, S. P. (2024). Um tutorial sobre regressão logística no R. VIII Encontro de Ensino e Pesquisa em Administração e Contabilidade - EnEPQ 2024, São Paulo, SP, Brasil.
2) Barbosa, I. de S., & Klann, R. C. (2026). Relevance of corporate use of social media for disclosing ESG practices. Revista de Administração Mackenzie, 27(1), 1–27. https://doi.org/10.1590/16786971/eRAMF250049
Deliverable: Correlation and regression analysis of the research conducted in the course.
CLASS/DATE: 009 - Jun 17, 2026 (Wednesday)
TOPIC: Developing the paper and presentations - Prof. Graziela
CLASS/DATE: 010 - Jun 27, 2026 (Saturday)
TOPIC: Final Product and Presentation - Prof. Pinheiro
Data analysis presentation (group).
Deliverable: Presentation and submission of the projects.
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