Qualitative Data Analysis Overview

<p>Data categorization (B)</p> Signup and view all the answers

<p>It clarifies the assumptions and perspectives underpinning the study. (B)</p> Signup and view all the answers

<p>Survey responses (D)</p> Signup and view all the answers

<p>To simplify the data and identify key themes. (C)</p> Signup and view all the answers

<p>To visually represent patterns and relationships in the data. (A)</p> Signup and view all the answers

<p>A structured unit of meaning that can be expressed in multiple interpretations (D)</p> Signup and view all the answers

<p>The formal structure of everyday interactions (B)</p> Signup and view all the answers

<p>Ethnomethodology (C)</p> Signup and view all the answers

<p>Categories must be mutually exclusive and exhaustive (C)</p> Signup and view all the answers

<p>To analyze the social structures and processes of interaction (D)</p> Signup and view all the answers

<p>The complexity of the data and multiple interpretations (C)</p> Signup and view all the answers

<p>It focuses on everyday interactions (D)</p> Signup and view all the answers

<p>To capture a detailed and accurate representation of the interaction (D)</p> Signup and view all the answers

<p>To become acquainted with the variety and diversity of material (A)</p> Signup and view all the answers

<p>The personal opinions of the researcher (B)</p> Signup and view all the answers

<p>A thematic framework for the data (C)</p> Signup and view all the answers

<p>When a limited number of interviews were conducted (D)</p> Signup and view all the answers

<p>Making notes and identifying emerging themes (B)</p> Signup and view all the answers

<p>The number of data collection methods used (B)</p> Signup and view all the answers

<p>Reduction of data into simpler forms (A)</p> Signup and view all the answers

<p>Ensuring a range of cases and time periods is considered (B)</p> Signup and view all the answers

<p>To understand and interpret meanings in human behavior (D)</p> Signup and view all the answers

<p>It argues that reality is socially and discursively constructed. (D)</p> Signup and view all the answers

<p>The relationship between researcher and reality (B)</p> Signup and view all the answers

<p>It is intertwined with the study of communication and values. (B)</p> Signup and view all the answers

<p>To manage and summarize data for presentation (D)</p> Signup and view all the answers

<p>An interpretive activity linking data to ideas (A)</p> Signup and view all the answers

<p>The importance of subjective interpretation in knowledge acquisition (C)</p> Signup and view all the answers

<p>They arise from the respondents and influence data capture (D)</p> Signup and view all the answers

<p>From the interpretations of data gathered from participants (D)</p> Signup and view all the answers

<p>Knowledge is concerned with forms and nature. (D)</p> Signup and view all the answers

<p>Writing memos during the analysis process (D)</p> Signup and view all the answers

<p>Emerging patterns within the data (B)</p> Signup and view all the answers

<p>Interpretivism dismisses the subjective experiences of individuals. (C)</p> Signup and view all the answers

<p>It influences the codes attributed to the data (A)</p> Signup and view all the answers

<p>Choosing a conceptual framework beforehand (B)</p> Signup and view all the answers

<p>Emerging themes and ideas (A)</p> Signup and view all the answers

<p>To generate richer meanings and themes (A)</p> Signup and view all the answers

<p>Their research questions and study aims (B)</p> Signup and view all the answers

<p>Leaving the right margin open for notes (A)</p> Signup and view all the answers

<p>Start a new paragraph (C)</p> Signup and view all the answers

<p>Questions about activities, strategies, and interactions (B)</p> Signup and view all the answers

<p>It depends on the context and the detail level desired (A)</p> Signup and view all the answers

<p>It could lead to a more nuanced analysis (A)</p> Signup and view all the answers

<p>To make later coding easier by identifying significant elements (B)</p> Signup and view all the answers

A method of analyzing unstructured data to interpret and derive meaning.

The process of simplifying and summarizing qualitative data to make it manageable.

The technique of presenting qualitative data visually for easier interpretation and insight.

The method of making sense of data and determining its significance in context.

The philosophical study of the nature of being and reality in qualitative analysis.

The study of knowledge and how it's acquired in research contexts.

Considerations regarding the moral implications and responsibilities of analyzing qualitative data.

Methods used to collect and analyze qualitative data, such as interviews and focus groups.

A type of research aiming to understand meanings in human behavior rather than predict outcomes.

A philosophical approach asserting that reality is socially constructed and subjective.

The study of knowledge, concerning how we know what we know.

A claim that is supposed to be based on observable phenomena and free from personal bias.

Criteria for determining what constitutes valid knowledge in research.

The study of the nature of being and existence.

Different types of knowledge created, acquired, and shared in research.

Pre-existing issues based on research aims used in interviews.

New issues that arise during interviews from respondents.

A structure guiding research decisions, sampling, and focus.

Assigning labels to data to organize and interpret meanings.

Groups formed from repeated codes indicating patterns in data.

Recurrent themes or similarities identified in qualitative data analysis.

The process of examining and interpreting data to extract meaning.

The process of understanding the collected data by engaging deeply with it.

The different types and forms of information collected by the researcher.

Understanding the background and environment surrounding the data.

A structure that categorizes key themes and concepts from the data.

Recordings of observations, thoughts, and key responses from data review.

The process of identifying general ideas and themes from specific data points.

Involving a variety of cases and perspectives for a well-rounded study.

Guidelines for choosing which data to review based on multiple factors.

A repetitive method to refine data into rich meanings and categories.

A method outlined for organizing data efficiently while coding.

The initial phase of highlighting significant data before full coding.

Key inquiries guiding the coding process for clarity and focus.

Coding that focuses on what participants are doing and their actions.

Methods to group data under single codes or divide them into finer details.

The number of codes used varies depending on data context and detail needed.

A detailed examination produced by splitting codes for deeper insights.

A grouping of items with similar meanings and connotations, must be mutually exclusive and exhaustive.

A concept that links underlying meanings together in categories, allowing for multiple interpretations.

A research approach focused on the formal analysis of everyday social interactions.

A theoretical background of conversation analysis that studies the methods people use to make sense of social interactions.

The meaningful structure created by actors through their interactions and communications.

Data collected through recordings of everyday interaction processes.

The concept of adapting communication to fit the context and needs of the interaction.

The mutual responses that occur between actors in a conversation, shaping social order.