Making Sense of Data and Statistics in Psychology confronts the pedagogic challenge of teaching statistics to students in psychology and related disciplines. Recognising the heterogeneous nature of students' mathematical backgrounds and motivations, the authors adopt an innovative approach while ensuring ready integration into orthodox undergraduate statistics courses at introductory and post-introductory levels. Before being introduced to formal statistics, students are encouraged to develop a 'feel' for data, particularly through visual representation. Making extensive use of exploratory data analysis (EDA), the text emphasises conceptual rather than technical or procedural understanding.
Innovative, studentfriendly text different from anything currently available
Material is structured so that the reader revisits ideas at increasing levels of sophistication
Easily integrated into 'standard courses' or used as support for more mathematically oriented courses
Reinforces understanding by avoiding unnecessary jargon, and including studentteacher dialogues and realistic examples throughout
Brian Greer
data analysis experiment experimentation Mathematica mathematics motivation nature pattern patterns presentation psychology statistics teaching understanding variable