The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences: Volume 1: Building a Program of Research (Cambridge Handbooks in Psychology)
معرفی کتاب «The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences: Volume 1: Building a Program of Research (Cambridge Handbooks in Psychology)» نوشتهٔ Austin Lee Nichols, John Edlund، منتشرشده توسط نشر Cambridge University Press (Virtual Publishing) در سال 2023. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
The first of three volumes, the five sections of this book cover a variety of issues important in developing, designing, and analyzing data to produce high-quality research efforts and cultivate a productive research career. First, leading scholars from around the world provide a step-by-step guide to doing research in the social and behavioral sciences. After discussing some of the basics, the various authors next focus on the important building blocks of any study. In section three, various types of quantitative and qualitative research designs are discussed, and advice is provided regarding best practices of each. The volume then provides an introduction to a variety of important and cutting-edge statistical analyses. In the last section of the volume, nine chapters provide information related to what it takes to have a long and successful research career. Throughout the book, example and real-world research efforts from dozens of different disciplines are discussed. 11.7_pp_125_155_Analyzing_Data.pdf Outline placeholder 7 Analyzing Data 14.2_pp_468_493_Descriptive_and_Inferential_Statistics.pdf Outline placeholder 22 Descriptive and Inferential Statistics 14.3_pp_494_512_Testing_Theories_with_Bayes_Factors.pdf Outline placeholder 23 Testing Theories with Bayes Factors 14.4_pp_513_534_Introduction_to_Exploratory_Factor_Analysis_An_Applied_Approach.pdf Outline placeholder 24 Introduction to Exploratory Factor Analysis: An Applied Approach 14.6_pp_559_582_Multilevel_Modeling.pdf Outline placeholder 26 Multilevel Modeling
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