Paul Christiansen – författare

This book gives an overview of the key topics in quantitative methods. Written by an academic who has specialised in quantitative methods in Psychology across a range of sub disciplines, it highlights how crucial understanding quantitative methods is to understanding research in psychology and beyond.

First, it briefly considers the history of quantitative methods in psychology citing some key figures in both psychology and statistics. Following this it will describe how we apply models of scientific investigation to psychology to generate reliable knowledge. It will then go on to consider key models we use in quantitative research, from experimental designs to quasi-experimental and correlational designs. Next it introduces sampling theory, and its role in understanding who our findings apply to. The final theoretical consideration is a concise description of null hypothesis significance testing and how we can use it to make inferences about psychological phenomena. In the next part of the book there will be a focus on some core methods. Starting with a discussion of we sample participants before exploring statistics in detail. Next, the book looks at how robust quantitative research can impact other fields and policy through improving ecological validity and reliability. Finally, the book gets to grips with key challenges in the future of quantitative research with a discussion of the replication crisis and solutions to it and then exploring how we can improve inclusivity.

This book is an essential text for all students of quantitative methodology.

This book gives an overview of the key topics in quantitative methods. Written by an academic who has specialised in quantitative methods in Psychology across a range of sub disciplines, it highlights how crucial understanding quantitative methods is to understanding research in psychology and beyond.

First, it briefly considers the history of quantitative methods in psychology citing some key figures in both psychology and statistics. Following this it will describe how we apply models of scientific investigation to psychology to generate reliable knowledge. It will then go on to consider key models we use in quantitative research, from experimental designs to quasi-experimental and correlational designs. Next it introduces sampling theory, and its role in understanding who our findings apply to. The final theoretical consideration is a concise description of null hypothesis significance testing and how we can use it to make inferences about psychological phenomena. In the next part of the book there will be a focus on some core methods. Starting with a discussion of we sample participants before exploring statistics in detail. Next, the book looks at how robust quantitative research can impact other fields and policy through improving ecological validity and reliability. Finally, the book gets to grips with key challenges in the future of quantitative research with a discussion of the replication crisis and solutions to it and then exploring how we can improve inclusivity.

This book is an essential text for all students of quantitative methodology.

Using statistics to analyse research data can be tricky when you are getting started. This book shows you how to effectively conduct statistical analysis in both R and SPSS without getting overwhelmed by complex theories and formulas.It is a practical manual that uses worked examples to help you get to grips with running statistical tests using commonly used software. Straightforward and clear, it assumes no prior knowledge and calmly takes you from reading the first page to completing your own analysis.It also:

If you want to strengthen your grasp of statistics, overcome statistics anxiety or just pass your course - this is the guide for you.