For courses in Experimental Methods and in Research Methods in Political Science and Sociology" An informative and unintimidating look at the basics of research in the social and behavioral sciences "Exploring Research" makes research methods accessible for students describing how to collect and analyze data, and providing thorough instruction on how to prepare and write a research proposal and manuscript. Author Neil Salkind covers the research process, problem selection, sampling and generalizability, and the measurement process. He also incorporates the most common types of research models used in the social and behavioral sciences, including qualitative methods. The Ninth Edition explores the use of electronic sources (the Internet) as a means to enhance research skills, includes discussions about scientific methods, and places a strong emphasis on ethics. NOTE: This ISBN is for a Pearson Books a la Carte edition a convenient, three-hole-punched, loose-leaf text. In addition to the flexibility offered by this format, Books a la Carte editions offer students great value, as they cost significantly less than a bound textbook.
This is a great book for people who are new to research. It is just an overview, so don't expect to be able to apply complicated statistical formulas after reading, but it's a good way to begin.
My one complaint is that there are a lot of typos, which will hopefully be cleared up in the next edition.
It was well organized and for the beginner, non-major, & those not intending to pursue research further than required; however, I found the sections on statistics to be lacking.
really good for beginners in MA/postgraduate studies & as a reference simple and clear language to make you understand new terms & concepts it was assigned by my program in Linguistics and provided me with a comprehensive outlook on researching it is available online :)
This text was used in my undergraduate introduction to statistics class. Most of the book is extremely simplistic and would make a good basic survey for someone who has never been exposed to stats. If you have some knowledge, definitely skip this one.