Raymond A Kent – författare
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Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers’ decisions that must be made as you move through your analysis.
The book is divided into four clear sections:
Data and their presentation Variable-based analyses Case-based analyses Comparing and combining approachesClear, original and written for students this book should be compulsory reading for anyone looking to conduct non-experimental quantitative data analysis.
1 786 kr
Skickas inom 3-6 vardagar
Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers’ decisions that must be made as you move through your analysis.
The book is divided into four clear sections:
Data and their presentation Variable-based analyses Case-based analyses Comparing and combining approachesClear, original and written for students this book should be compulsory reading for anyone looking to conduct non-experimental quantitative data analysis.
696 kr
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Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers’ decisions that must be made as you move through your analysis.
The book is divided into four clear sections:
Data and their presentation Variable-based analyses Case-based analyses Comparing and combining approachesClear, original and written for students this book should be compulsory reading for anyone looking to conduct non-experimental quantitative data analysis.