Parameters
- 320bladzijden
- 12 uur lezen
Meer over het boek
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.
Een boek kopen
Making Sense of Data and Statistics in Psychology, Gerry Mulhern, Brian Greer
- Taal
- Jaar van publicatie
- 2011
- product-detail.submit-box.info.binding
- (Paperback)
Betaalmethoden
We missen je recensie hier.
- Titel
- Making Sense of Data and Statistics in Psychology
- Ondertitel
- Second Edition
- Taal
- Engels
- Auteurs
- Gerry Mulhern, Brian Greer
- Uitgever
- Red Globe Press
- Jaar van publicatie
- 2011
- Formaat
- Paperback
- Aantal pagina's
- 320
- ISBN10
- 0230205747
- ISBN13
- 9780230205741
- Reeks
- Tags
- Non-fictie, Sociale Wetenschappen, Handleidingen en Gidsen, Psychologie, Linguïstiek, Onderzoek, Statistiek, Experimenten (wetenschap), Grondslagen, Methodologie, Data-analyse, Dialoog
- Beoordeling
- 3,35 van 5
- Aantekening
- 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.