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  • Gebundenes Buch

This crystal clear, applied text teaches readers how to plan, conduct, and write a research project and select and interpret data through its integrated approach to research methods. Although not a statistics book, readers learn to master which technique to use when and how to analyze results, making them better consumers of research. Organized around the steps of conducting a research project, independent sections and chapters can be read in any order for utmost learning flexibility. A consistent framework increases comprehension. Numerous examples, diagrams, tables, key terms, summaries,…mehr

Produktbeschreibung
This crystal clear, applied text teaches readers how to plan, conduct, and write a research project and select and interpret data through its integrated approach to research methods. Although not a statistics book, readers learn to master which technique to use when and how to analyze results, making them better consumers of research. Organized around the steps of conducting a research project, independent sections and chapters can be read in any order for utmost learning flexibility. A consistent framework increases comprehension. Numerous examples, diagrams, tables, key terms, summaries, applied problems and questions, and suggested readings further promote understanding.
Autorenporträt
Jeffrey A. Gliner is Professor Emeritus of Occupational Therapy at Colorado State University. He taught graduate level research methods, statistics, and program evaluation courses to masters and doctoral level students for more than 20 years. George A. Morgan is a Professor Emeritus of Education and Human Development at Colorado State University. He taught research methods and applied statistics to graduate students in several departments at Colorado State. In addition to writing textbooks on SPSS and research methods, he currently advises students on their dissertation research. Nancy L. Leech is a Professor at the University of Colorado Denver. Dr. Leech is currently teaching graduate level courses in research, statistics, and measurement.