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.

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.

Analysis of political advertising tends to give music short shrift - which flies in the face of what we know about the power of music to set a mood, affect feelings, and influence our perceptions. This book is the first to offer a detailed exploration of the role of music in US presidential campaign advertising, from Eisenhower to the present, showing that in many cases music isn't simply one element in the presentation of an ad's message - it's the dominant factor, more important than images, words, or narration.

Nothing From Something is a collection of poetry and prose written between 1994 and 2008. It deals with love, lust and loss, sometimes raw and blunt, other times tender and naive. And with some absurdities along the way.

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: Covers a range of statistics taught at undergraduate level. Presents varied, adaptable solutions to common problems. Embeds road-tested best practice into every stage of your analysis. Provides you with programming skills that boost your employability. Gives any essential theory in a simple, easy to follow, manner. Supports understanding and communicating findings effectively. Helps to bridge the gap between using SPSS and R.If you want to strengthen your grasp of statistics, overcome statistics anxiety or just pass your course - this is the guide for you.

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:

Covers a range of statistics taught at undergraduate level. Presents varied, adaptable solutions to common problems.Embeds road-tested best practice into every stage of your analysis. Provides you with programming skills that boost your employability.Gives any essential theory in a simple, easy to follow, manner.Supports understanding and communicating findings effectively.Helps to bridge the gap between using SPSS and R.

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

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:

Covers a range of statistics taught at undergraduate level. Presents varied, adaptable solutions to common problems.Embeds road-tested best practice into every stage of your analysis. Provides you with programming skills that boost your employability.Gives any essential theory in a simple, easy to follow, manner.Supports understanding and communicating findings effectively.Helps to bridge the gap between using SPSS and R.

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

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:

Covers a range of statistics taught at undergraduate level. Presents varied, adaptable solutions to common problems.Embeds road-tested best practice into every stage of your analysis. Provides you with programming skills that boost your employability.Gives any essential theory in a simple, easy to follow, manner.Supports understanding and communicating findings effectively.Helps to bridge the gap between using SPSS and R.

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