Validating visual data in qualitative research lucyx datingish hk

While statistics rely on the use of probability theory to estimate population inferences, qualitative analysis uses social theory to decontextualise the raw data in segments and recontextualise them in codes, so second level constructs may be generated, relationships uncovered, and hypotheses formulated.Qualitative analysis may be conducted inductively by identifying conceptual categories directly in the data, or deductively by applying predefined theoretical notions onto the material.In qualitative research, coding is the process by which data are segmented in coding units and assigned a code that captures what the data are about.

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Qualitative research is multimethod in focus, involving an interpretive, naturalistic approach to its subject matter.

This means that qualitative researchers study things in their natural settings, attempting to make sense of, or interpret, phenomena in terms of the meanings people bring to them.

The key concepts that shape the coding process, such as meaning and coding units, codes, codebook and coding scheme, are discussed alongside situations where descriptive, interpretive, and patterns codes are used to capture different levels of abstraction in the data.

We then examine the properties of theme- versus design-based coding schemes and review their respective strengths and requirements.

A mixed approach to analysis - when both induction and deduction are used in different points in time in the analytical process - is increasingly popular since it makes use of the researcher’s theoretical sensitivity and allows space for meaning making and concept formation.

Criticisms about qualitative analysis Historically, qualitative analysis has been criticised for being opaque and subjective given that it is sometimes difficult to see how researchers went from hundreds of interview pages to a handful of conclusions, since no discussion is provided about what the researchers did when they analysed their data.

There exists a fundamental distinction between two types of data: qualitative and quantitative.

The way we typically define them, we call data 'quantitative' if it is in numerical form and 'qualitative' if it is not.

She has been teaching courses in qualitative data analysis courses at the ECPR Methods School since 2009 and teaches similar courses at the IPSA Summer School at the National University of Singapore.

Are you planning to conduct interviews or focus groups for your data collection, or perhaps do participant observation during events or meetings?

Software demonstrations by the instructor and teaching assistant will only be done using NVivo, however. The course opens with a lecture on the foundations of qualitative data analysis with definitions, history, problems, and challenges ahead.

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