Qualitative research analysis

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Qualitative research analysis

For neophyte nurse researchers, many of the data collection strategies involved in a qualitative project may feel familiar and comfortable. After all, nurses have always based their clinical practice on learning as much as possible about the people they work with, and detecting commonalities and variations among and between them in order to provide individualised care.

However, creating a database is not sufficient to conduct a qualitative study. In order to generate findings that transform raw data into new knowledge, a qualitative researcher must engage in active and demanding analytic processes throughout all phases of the research.

Understanding these processes is therefore an important aspect not only of doing qualitative research, but also of reading, understanding, and interpreting it. For readers of qualitative studies, the language of analysis can be confusing. It is sometimes difficult to know what the researchers actually did during this phase and to understand how their findings evolved out of the data that were collected or constructed.

Furthermore, in describing their processes, some authors use language that accentuates this sense of mystery and magic. In this EBN notebook, I will try to help readers make sense of some of the assertions that are made about qualitative data analysis so that they can develop a critical eye for when an analytical claim is convincing and when it is not.

Qualitative data Qualitative data come in various forms.

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In many qualitative nursing studies, the database consists of interview transcripts from open ended, focused, but exploratory interviews. However, there is no limit to what might possibly constitute a qualitative database, and increasingly we are seeing more and more creative use of such sources as recorded observations both video and participatoryfocus groups, texts and documents, multi-media or public domain sources, policy manuals, photographs, and lay autobiographical accounts.

Qualitative data are not the exclusive domain of qualitative research. Rather, the term can refer to anything that is not quantitative, or rendered into numerical form.

Qualitative research analysis

Many quantitative studies include open ended survey questions, semistructured interviews, or other forms of qualitative data. What distinguishes the data in a quantitative study from those generated in a qualitatively designed study is a set of assumptions, principles, and even values about truth and reality.

Quantitative researchers accept that the goal of science is to discover the truths that exist in the world and to use the scientific method as a way to build a more complete understanding of reality. Although some qualitative researchers operate from a similar philosophical position, most recognise that the relevant reality as far as human experience is concerned is that which takes place in subjective experience, in social context, and in historical time.

Thus, qualitative researchers are often more concerned about uncovering knowledge about how people think and feel about the circumstances in which they find themselves than they are in making judgements about whether those thoughts and feelings are valid.

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Qualitative analytic reasoning processes What makes a study qualitative is that it usually relies on inductive reasoning processes to interpret and structure the meanings that can be derived from data.

Distinguishing inductive from deductive inquiry processes is an important step in identifying what counts as qualitative research. Generally, inductive reasoning uses the data to generate ideas hypothesis generatingwhereas deductive reasoning begins with the idea and uses the data to confirm or negate the idea hypothesis testing.

It does this to add evidence to the development of specific, causal, and theoretical explanations of phenomena. Thus, a distinction between explaining how something operates explanation and why it operates in the manner that it does interpretation may be a more effective way to distinguish quantitative from qualitative analytic processes involved in any particular study.

Because data collection and analysis processes tend to be concurrent, with new analytic steps informing the process of additional data collection and new data informing the analytic processes, it is important to recognise that qualitative data analysis processes are not entirely distinguishable from the actual data.

The theoretical lens from which the researcher approaches the phenomenon, the strategies that the researcher uses to collect or construct data, and the understandings that the researcher has about what might count as relevant or important data in answering the research question are all analytic processes that influence the data.

Analysis also occurs as an explicit step in conceptually interpreting the data set as a whole, using specific analytic strategies to transform the raw data into a new and coherent depiction of the thing being studied.About this journal. Qualitative Research (QRJ) is a bimonthly peer reviewed journal that publishes original research and review articles on the methodological diversity and multi-disciplinary focus of qualitative research.

The journal is edited by Bella Dicks, Karen Henwood, William Housley and Book Reviews Editor Robin Smith. Jul 05,  · Qualitative Exam Part 1 (5%): Compare and contrast two qualitative research studies in your field and interest. Include brief summaries of the studies, with relevant details about the research question and the qualitative methods.

Difference between Qualitative and Quantitative Research in data collection, online surveys, paper surveys, quantifiable research, and quantifiable data. Difference between Qualitative and Quantitative Research in data collection, online surveys, paper surveys, quantifiable research, and quantifiable data.

Survey analysis and reporting. Analysis is More than Coding, Sorting and Sifting. Although some researchers suggest that disassembling, coding, and then sorting and sifting through your data, is the primary path to analyzing data / data analysis.

In this way, qualitative research can be used to vividly demonstrate phenomena or to conduct cross-case comparisons and analysis of individuals or groups.

Among the specific strengths of using qualitative methods to study social . QDA MINER LITE – free qualitative data analysis software. QDA Miner Lite is a free and easy-to-use version of our popular computer assisted qualitative analysis software.

It can be used for the analysis of textual data such as interview and news transcripts, open-ended responses, etc. as well as for the analysis of still images.

Qualitative and Quantitative Data Analysis