Publication date
January 2009
DOI Publisher
MA Healthcare Limited ISSN
1749-6403Abstract
Laura Delaney provides an overview of the role and aims of inferential analysis: using information from a sample to draw conclusions about a larger populatio
Laura Delaney provides an overview of the role and aims of inferential analysis: using information from a sample to draw conclusions about a larger populatio
The ability to reconstruct a missing event to create a coherent interpretation - bridging inference ...
Within the qualitative research community, narrative analysis research is a common method that is us...
This project examined the processing of bridging inferences in visual narratives, i.e. when readers ...
Laura Delaney introduces the principles of descriptive statistical analysis and presents an overview...
Storytelling - As the display of data impacts on a good analysis, it is a process that seeks through...
Recent work in language and text has explored such broad functional categories as evidentiality and ...
This chapter sets out to provide the research context for the collection. It begins with an overview...
To understand how statistical and other types of reasoning are coordinated with actions to reduce un...
Narrative research has become increasingly popular in the social sciences. While no part of the proc...
One key skill for data analysts that is often overlooked: the ability to communicate findings clearl...
Covering a number of disciplines, including linguistics, literary critism, computer science, and sta...
What’s in a story? Everything. Stories often serve as mirrors to the society, highlighting the struc...
What’s in a story? Everything. Stories often serve as mirrors to the society, highlighting the struc...
Quantitative data analysis is a cognitively demanding process. Inferences from quantitative analyses...
Narrative inquiry methods have much to offer within health and social research. They have the capaci...
The ability to reconstruct a missing event to create a coherent interpretation - bridging inference ...
Within the qualitative research community, narrative analysis research is a common method that is us...
This project examined the processing of bridging inferences in visual narratives, i.e. when readers ...
Laura Delaney introduces the principles of descriptive statistical analysis and presents an overview...
Storytelling - As the display of data impacts on a good analysis, it is a process that seeks through...
Recent work in language and text has explored such broad functional categories as evidentiality and ...
This chapter sets out to provide the research context for the collection. It begins with an overview...
To understand how statistical and other types of reasoning are coordinated with actions to reduce un...
Narrative research has become increasingly popular in the social sciences. While no part of the proc...
One key skill for data analysts that is often overlooked: the ability to communicate findings clearl...
Covering a number of disciplines, including linguistics, literary critism, computer science, and sta...
What’s in a story? Everything. Stories often serve as mirrors to the society, highlighting the struc...
What’s in a story? Everything. Stories often serve as mirrors to the society, highlighting the struc...
Quantitative data analysis is a cognitively demanding process. Inferences from quantitative analyses...
Narrative inquiry methods have much to offer within health and social research. They have the capaci...
The ability to reconstruct a missing event to create a coherent interpretation - bridging inference ...
Within the qualitative research community, narrative analysis research is a common method that is us...
This project examined the processing of bridging inferences in visual narratives, i.e. when readers ...
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