The Second Edition of Bora Pajoâ s Introduction to Research Methods: A Hands-on Approach continues to make research easy to understand and easy to do by balancing quantitative with qualitative methods in the same clear and compelling prose. Updates include a new chapter on big data, a revamped chapter on qualitative designs, and citations in APA Style 7th Edition.
The Second Edition of Bora Pajoâ s Introduction to Research Methods: A Hands-on Approach continues to make research easy to understand and easy to do by balancing quantitative with qualitative methods in the same clear and compelling prose. Updates include a new chapter on big data, a revamped chapter on qualitative designs, and citations in APA Style 7th Edition.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Bora Pajo is a methodologist at Franklin University, Doctoral Studies, in Columbus, Ohio. She teaches methodology courses for doctoral students and is heavily engaged with the dissertation process, especially research design. She is dedicated to teaching and writing about research processes in the hopes to transmit her enthusiasm of conducting scientific research to students. She was awarded the Strategic Ohio Council for Higher Education Excellence Award in 2021, Bailey Teaching Award for Summer 2021 at Franklin University, and Deans Award Recognizing Excellence (DARE) in 2022 from Franklin University.
Inhaltsangabe
Chapter 1: The Purpose of Research Chapter 2: Formulating a Research Question Chapter 3: Researching and Writing the Literature Review Chapter 4: Quantitative Designs Chapter 5: Measurement Errors, Reliability, Validity Chapter 6: Sampling Chapter 7: Data Collection for Quantitative Research Chapter 8: Secondary Data Chapter 9: Entering and Organizing Quantitative Data Chapter 10: Analyzing Quantitative Data Chapter 11: Qualitative Designs and Data Collection Chapter 12: Entering, Coding, and Analyzing Qualitative Data Chapter 13: Results and Discussion Chapter 14: Presenting Your Research Chapter 15: Big Data
Chapter 1: The Purpose of Research Chapter 2: Formulating a Research Question Chapter 3: Researching and Writing the Literature Review Chapter 4: Quantitative Designs Chapter 5: Measurement Errors, Reliability, Validity Chapter 6: Sampling Chapter 7: Data Collection for Quantitative Research Chapter 8: Secondary Data Chapter 9: Entering and Organizing Quantitative Data Chapter 10: Analyzing Quantitative Data Chapter 11: Qualitative Designs and Data Collection Chapter 12: Entering, Coding, and Analyzing Qualitative Data Chapter 13: Results and Discussion Chapter 14: Presenting Your Research Chapter 15: Big Data
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