PUB 550 Describe the process of coding qualitative data

PUB 550 Describe the process of coding qualitative data

PUB 550 Describe the process of coding qualitative data

Coding in qualitative research is the process of sorting and organizing non-quantified data. This involves separating a word or phrase and using a code to tag it. The code describes a portion of data and is used to separate the information into unique categories, allowing researchers to find and cluster related content quickly.

With deductive coding, we make use of pre-established codes, which are developed before you interact with the present data. This usually involves drawing up a set of codes based on a research question or previous research. You could also use a code set from the codebook of a previous study. Deductive coding allows you to approach your analysis with a very tightly focused lens and quickly identify relevant data. Of course, the downside is that you could miss out on some very valuable insights as a result of this tight, predetermined focus.

Inductive coding is great when you’re researching something that isn’t yet well understood because the coding derived from the data helps you explore the subject. Therefore, this type of coding is usually used when researchers want to investigate new ideas or concepts, or when they want to create new theories.

 

Reference:

Qualitative Data Coding: Explained Simply (With Examples) – Grad Coach

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Finding themes and patterns in your qualitative data may be done through the process of methodically classifying extracts. The best technique to comprehend your data more thoroughly is by coding the qualitative data. With the help of qualitative coding, it allows you to organize unstructured or semi-structured material, such the transcripts of in-depth interviews or focus groups, into themes and patterns for analysis. Your analysis is made more methodical and rigorous by qualitatively coding your data. Additionally, it allows you to be open and reflective toward others as well as toward oneself. It will make it possible for you to identify insights that are accurately reflective of your data and the human narratives that underlie them.

 

With inductive coding, you start from scratch and deduce your codes from the data. Instead of starting with preconceived ideas about what the codes should be, you let the story or theory develop naturally from the raw data. This is excellent for exploratory research or when you wish to develop fresh hypotheses, notions, or ideas.

When using deductive coding, you build a codebook with your original set of codes first. You might base this collection of questions on your own study, an existing framework for research, or a theory. Afterward, you read the data and assign codes to extracts. Your codes should be quite similar to the codebook you started with when you’ve finished your analysis. When you already know the format in which you want your conclusions to be presented, this is a positive thing.

 

Reference:

 

Saldana, Johnny (2009). The Coding Manual for Qualitative Researchers. Thousand Oaks, California: Sage.

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The process of evaluating and interpreting qualitative data to determine what it represents is known as qualitative

PUB 550 Describe the process of coding qualitative data
PUB 550 Describe the process of coding qualitative data

data analysis. The main difference between inductive and deductive thinking is that inductive reasoning seeks to build a hypothesis and deductive reasoning seeks to test an existing hypothesis. Inductive reasoning leads from particular observations to wide generalizations, while deductive reasoning leads from particular observations to wide generalisations. DeCarlo (2018) mentions that when researchers use the deductive method, they start off with their own simple hypothesis and work their way up. With qualitative research, deductive research seems to be a more simple route depending on the type of study design you use.

References:

DeCarlo, M. (2018, August 7). inductive and deductive reasoning. Go to the cover page of Scientific Inquiry in Social Work. Retrieved August 2, 2022, from https://scientificinquiryinsocialwork.pressbooks.com/chapter/6-3-inductive-and-deductive-reasoning/ 

According to Gratton and Jones (2009) deductive approach involves testing of a pre-determined theory, explanation or hypothesis. This approach helps researchers ascertain a hypothesis by using existing theories. Existing information is dissected to accept or reject the hypothesis in order to achieve the research aims (Gill and Johnson, 2010).

But also, according to Gratton and Jones (2009) inductive approach generates the explanation from the data collected. It is the opposite of deductive research. It aims at exploring a new theory. It is about moving from specific observations to broader generalizations and theories.

There are some differences between deductive and inductive approaches to research. In deductive approach, researchers begin the process by considering past and present theories concerning the topic of the research. This helps them develop some hypothesizes. The new hypotheses can then be tested in the process of conducting a new study. The collected data should either confirm or reject the hypotheses.

Reference:

Qualitative Data Analysis Coding Qualitative Data Qualitative Dissertation | Asher Consult

Coding describes what the data you’re analyzing are about in qualitative research. Coding is the process of locating a passage in a text or other data object, searching for and defining concepts, and determining their relationships. Deductive coding is a coding method in which you create a codebook to use while a reference as you go through the coding process. When performing heuristic or exploratory research and knowing nothing about the research topic, the inductive coding approach is used. Inductive coding, also known as open coding, begins with a blank slate and generates codes based on the qualitative data. You don’t have a fixed codebook; all codes come from the survey responses themselves. Schadewitz and Jachna (2007) mentions that deductive analysis involves use of language, structure ,and format for a design pattern. Deductive coding the process of starting with a predetermined collection of codes and then assigning certain codes to new qualitative data. These codes could come from previous research or you could already have an idea of what themes you want to look at. Concept-driven coding is another name for deductive coding.

References:

Schadewitz, N., & Jachna, T. (2007). Comparing inductive and deductive methodologies for design patterns identification and articulation.

You made some excellent points describing coding. In fact, I developed so much interest in coding after my Psychology classes. The social science disciplines of anthropology, sociology, and psychology serve as the foundation for qualitative research. Since the interviewer or researcher also strives to understand the respondents’ purpose and sentiments, the qualitative research techniques allow for in-depth and additional probing and questioning of respondents depending on their replies. To draw conclusions from market research, it might be helpful to understand how your audience makes decisions (Lohaj et al., 2022).

It was the social and behavioral sciences that first developed qualitative research techniques. Our world is increasingly intricate now, making it challenging to comprehend how individuals think and view the world. That is simpler to grasp since online qualitative research methodologies are more conversational and descriptive.

The practice of classifying extracts from your qualitative data to discover themes and patterns is known as qualitative coding (Lohaj et al., 2022). Gaining a deeper understanding of your data through the coding of qualitative data is quite beneficial.

It lets you organize unstructured or semi-structured data into thematic analysis is a method for analysis using qualitative coding, such as recordings from the interviews.

Reference

 

Lohaj, O., Pella, Z., & Paralic, J. (2022). Data analytics methods for analyzing the impact of factors on early detection of cardiovascular risk. 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI), Applied Machine Intelligence and Informatics (SAMI), 2022 IEEE 20th Jubilee World Symposium On, 000249–000254. https://doi-org.lopes.idm.oclc.org/10.1109/SAMI54271.2022.9780806