This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them.

This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context.

The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts.  It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.

This book is about the choices that researchers can make when building knowledge in social and behavioural spaces. Knowledge is the unity we seek and, given that social and behavioural research is a human endeavour focusing on human lives and experiences, there are diverse and ever-evolving pathways towards achieving that unity. Any one pathway will only ever yield partial glimpses into human life and diversity of potential choices serves to enrich, expand, and enlarge those glimpses in pursuit of more complete understanding. The book shows that researchers and the researched are far more connected than disconnected in this world and those connections are spread out through a network of interlinked complex systems. The book argues that pluralist systemic thinking provides the means by which a researcher’s methodological choices for navigating the ‘Data Triangle’ (comprising data source, data gathering, and data analysis strategies) and the learning they provide can be fully and robustly contextualised with respect to those systems and the expectations and influences that emerge from them. Such contextualisations facilitate the refinement, augmentation, and/or narrowing of those choices during the researcher’s journey. Anticipating choices downstream may have implications for more immediate choices and more immediate choices may create a cascade of necessary downstream choices. An essential part of contextualisation involves making choices about patterns of guiding assumptions, modes of knowledge building, and research frames. Researchers must develop the capacity to be flexible and adapt to unanticipated emergent events, obstacles, and political influences, making trade-offs where necessary throughout their research journey, always with an eye on both feasibility and quality. Importantly, research has no meaning unless the researcher can ensure that it connects with intended audiences via specific research outcomes, especially since the ultimate judgments about the convincingness, meaningfulness, quality, and utility of the research are vested in those audiences. Throughout the book, special attention is devoted to the role(s) that stakeholders and gatekeepers play in shaping the researcher’s journey as well as to what can be learned from Indigenous/First Nations perspectives on social and behavioural research.

This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them.

This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context.

The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts.  It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.

This book is about the choices that researchers can make when building knowledge in social and behavioural spaces. Knowledge is the unity we seek and, given that social and behavioural research is a human endeavour focusing on human lives and experiences, there are diverse and ever-evolving pathways towards achieving that unity. Any one pathway will only ever yield partial glimpses into human life and diversity of potential choices serves to enrich, expand, and enlarge those glimpses in pursuit of more complete understanding. The book shows that researchers and the researched are far more connected than disconnected in this world and those connections are spread out through a network of interlinked complex systems. The book argues that pluralist systemic thinking provides the means by which a researcher’s methodological choices for navigating the ‘Data Triangle’ (comprising data source, data gathering, and data analysis strategies) and the learning they provide can be fully and robustly contextualised with respect to those systems and the expectations and influences that emerge from them. Such contextualisations facilitate the refinement, augmentation, and/or narrowing of those choices during the researcher’s journey. Anticipating choices downstream may have implications for more immediate choices and more immediate choices may create a cascade of necessary downstream choices. An essential part of contextualisation involves making choices about patterns of guiding assumptions, modes of knowledge building, and research frames. Researchers must develop the capacity to be flexible and adapt to unanticipated emergent events, obstacles, and political influences, making trade-offs where necessary throughout their research journey, always with an eye on both feasibility and quality. Importantly, research has no meaning unless the researcher can ensure that it connects with intended audiences via specific research outcomes, especially since the ultimate judgments about the convincingness, meaningfulness, quality, and utility of the research are vested in those audiences. Throughout the book, special attention is devoted to the role(s) that stakeholders and gatekeepers play in shaping the researcher’s journey as well as to what can be learned from Indigenous/First Nations perspectives on social and behavioural research.