Bora Pajo

Introduction to Research Methods

A Hands-On Approach

• Loseblattsammlung

Produktbeschreibung

The Second Edition of Bora Pajo's Introduction to Research Methods: A Hands-on Approach makes research easy to understand and do by balancing quantitative with qualitative methods in 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. Also available as a digital option (courseware). Learn more about 9781071871256, Introduction to Research Methods: A Hands-on Approach - Vantage Digital Option, Second Edition.

Produktdetails

• Verlag: Orient Blackswan Pvt Ltd
• 2nd edition
• Seitenzahl: 376
• Erscheinungstermin: 9. November 2022
• Englisch
• Abmessung: 230mm x 186mm x 14mm
• Gewicht: 658g
• ISBN-13: 9781071879825
• ISBN-10: 1071879820
• Artikelnr.: 63628712

Autorenporträt

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