Qualitative Data Analysis Strategies

2020 ◽  
pp. 875-911
Author(s):  
Johnny Saldaña
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Research Study ◽  
Qualitative Data Analysis ◽  
Qualitative Research Study ◽  
Data Process ◽  
Analysis Strategies ◽  
Coding Strategies ◽  
Data Analytic

This chapter provides an overview of selected qualitative data analysis strategies with a particular focus on codes and coding. Preparatory strategies for a qualitative research study and data management are first outlined. Six coding methods are then profiled using comparable interview data: process coding, in vivo coding, descriptive coding, values coding, dramaturgical coding, and versus coding. Strategies for constructing themes and assertions from the data follow. Analytic memo writing is woven throughout as a method for generating additional analytic insight. Next, display and arts-based strategies are provided, followed by recommended qualitative data analytic software programs and a discussion on verifying the researcher’s analytic findings.

Coding and Analysis Strategies

2014 ◽  
pp. 580-598 ◽  
Author(s):  
Johnny Saldaña
Keyword(s):  
Qualitative Research ◽  
Data Management ◽  
Qualitative Data ◽  
Research Study ◽  
Qualitative Research Study ◽  
Data Process ◽  
Analysis Strategies ◽  
Coding Strategies ◽  
Data Analytic

This chapter provides an overview of selected qualitative data analytic strategies with a particular focus on codes and coding. Preparatory strategies for a qualitative research study and data management are first outlined. Six coding methods are then profiled using comparable interview data: process coding, in vivo coding, descriptive coding, values coding, dramaturgical coding, and versus coding. Strategies for constructing themes and assertions from the data follow. Analytic memo writing is woven throughout the preceding as a method for generating additional analytic insight. Next, display and arts-based strategies are provided, followed by recommended qualitative data analytic software programs and a discussion on verifying the researcher’s analytic findings.

scholarly journals Fundamentals of qualitative analysis in family medicine

2019 ◽  
Vol 7 (2) ◽  
pp. e000040 ◽  
Author(s):  
Wayne A Babchuk
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Family Medicine ◽  
Qualitative Data ◽  
Research Study ◽  
Future Research ◽  
Qualitative Data Analysis ◽  
Qualitative Research Study ◽  
Minority Health Disparities ◽  
Concise Guide

The primary purpose of this article is to provide family physician researchers interested in conducting a qualitative research study a concise guide to the analysis. Drawing from approaches outlined in popular research methodology textbooks and employing an exemplar from a minority health disparities research study, this article outlines specific steps useful for researchers and practitioners in the field of family medicine. This process of qualitative data analysis is situated within the larger framework of qualitative research to better position those new to qualitative designs to more effectively conduct their studies. A 10-step process useful for guiding qualitative data analysis is provided. The 10 steps include (1) assembling data for analysis, (2) refamiliarising oneself with the data, (3) open or initial coding procedures, (4) generating categories and assigning codes to them, (5) generating themes from categories, (6) strategies of validation, (7) interpreting and reporting findings from the participants, (8) interpreting and reporting findings from the literature, (9) visual representations of data and findings, and (10) strengths, limitations, delimitations and suggestions for future research. This work provides clear and accessible guidelines for conducting qualitative data analysis for emerging researchers that is applicable across a wide array of topics, disciplines and settings.

scholarly journals Systematic Guide to Qualitative Data Analysis within the C.O.S.T.A Postgraduate Research Model

2019 ◽  
Author(s):  
King Costa
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Research Model ◽  
Qualitative Data Analysis ◽  
Interpretive Paradigm ◽  
Methodical Approach ◽  
Analysis Strategy ◽  
Simplified Analysis ◽  
Postgraduate Research ◽  
Data Analytic

The Problem: Qualitative Data Analysis is a complex undertaking by both novice and experienced researchers because of its many facets within the interpretive paradigm. In Costa (2018), the author argued that most of its complexities due to a variety of approaches including rigor determination pose a plethora of challenges to novice researchers.Background and Aim: This paper is presented against the background that Qualitative Data Analytic approaches present problems to novice researchers through their complicated definitions. The author devised a simplified analysis strategy linked to his method of postgraduate research andragogy, as explicated in Costa (2018). The Aim of this paper is to help postgraduate researchers follow a step by step methodical approach to generating themes and drawing conclusions from their studies. Methods: This paper presents a framework carefully constructed depicting 6 stages of qualitative data analysis. The framework is based on scientific approaches generally accepted within the qualitative research traditions. It further provides workable distinctions and relations between most popular methods of qualitative data analysis.

scholarly journals Analysis of Libles Obscuur in Civil Suits in Medan State Court

2021 ◽  
Vol 2 (1) ◽  
pp. 72-77
Author(s):  
Danial Syah
Keyword(s):  
Data Analysis ◽  
Subject Matter ◽  
Qualitative Data ◽  
Research Study ◽  
District Court ◽  
State Court ◽  
Power Of Attorney ◽  
Qualitative Data Analysis ◽  
Approach Method ◽  
The Subject

The research study about first to find out the reasons for the judge declaring a lawsuit unclear or obscure (obscuur libel) and second is to find out the consequences of an unclear or obscure lawsuit (obscuur libel). In this study using qualitative data analysis. The approach method in this research is to use a normative juridical approach, namely an approach that is carried out by collecting secondary data.The results of this study were (1) The reason the judge stated that a lawsuit was unclear or obscure (obscuur libel) were nine factors that caused the claim submitted by the plaintiff to be unacceptable. The nine factors are: (a) The identity of the parties (Plaintiff and Defendant). (b) The object of the lawsuit being litigated is unclear. (c) Petitum lawsuit exceeds the claim posita. (d) Power of attorney does not meet the requirements. (e) The lawsuit is filed by an underage / incapable person. (f) Claims are not filed on time. (g) Incomplete parties. (h) The court is not competent to hear the claim that is submitted. (i) The grounds of the plaintiff's rights are not clear. (2) As a result of a lawsuit is unclear or obscure (obscuur libel), then the person concerned does not accept such a decision, because the decision does not give satisfaction to what he wants from the claim as stated in the lawsuit. Because the verdict cannot be accepted in practice in the District Court based on the consideration that the plaintiff's claim is unacceptable, in fact it is a consideration regarding the subject matter of the case, namely whether the plaintiff is the owner or entitled to the suspect land, it is more appropriate to declare the claim rejected. Therefore, the plaintiff's unclear rights to the object of the lawsuit in dispute are not appropriate to be used as legal considerations to declare the claim unacceptable.

THE EFFECTIVENESS OF USING COOPERATIVE SCRIPT METHOD TO IMPROVE STUDENTS’ READING COMPREHENSION ON RECOUNT TEXT OF 8th GRADE STUDENTS OF SMP N KEWAPANTE, MAUMERE IN ACADEMIC YEAR 2017/ 2018

2018 ◽  
Vol 2 (2) ◽  
pp. 210-220
Author(s):  
Wendelinus Oscar Janggo ◽  
Yuliana Wisnawati Nona Nungsi
Keyword(s):  
Reading Comprehension ◽  
Data Analysis ◽  
Experimental Research ◽  
Qualitative Data ◽  
Qualitative Data Analysis ◽  
Quantitative Data Analysis ◽  
8Th Grade ◽  
Eighth Grade Students ◽  
Quasi Experimental ◽  
Academic Year

This research is entitled “The Effectiveness of Using Cooperative Script Method to Improve Students’ Reading Comprehension on Recount Text of 8th Grade Students of SMP N Kewapante, Maumere in Academic Year 2017/ 2018”. The objective of this research is to investigate and to find out whether the use of cooperative script method effective to improve students’ reading comprehension on recount text. The method of this research is experimental research especially quasi experimental research. In analyzing the data, the researcher combined both quantitative and qualitative data analysis. In qualitative data analysis, the researcher used interview technique in order to get information about students’ perceptions in reading, while in quantitative data analysis, the researcher used SPSS version 16. The result of the research showed that the implementation of Cooperative Script Method in experimental class was more effective to help the students in reading comprehension on recount text compared to the use of the conventional method in control class of the eighth grade students of SMP N Kewapante, Maumere. It is also found that cooperative script method positively contributed to improve students’ reading comprehension. Therefore ,the researcher  suggests the teachers to use cooperative script method in order to improve students reading comprehension Additionally, cooperative script method can also motivate students to be more active, relax and enthusiastic to comprehend reading texts.

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