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Content analysis: an introduction to its methodology

01 Jan 1980-
TL;DR: History Conceptual Foundations Uses and Kinds of Inference The Logic of Content Analysis Designs Unitizing Sampling Recording Data Languages Constructs for Inference Analytical Techniques The Use of Computers Reliability Validity A Practical Guide
Abstract: History Conceptual Foundations Uses and Kinds of Inference The Logic of Content Analysis Designs Unitizing Sampling Recording Data Languages Constructs for Inference Analytical Techniques The Use of Computers Reliability Validity A Practical Guide
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Journal ArticleDOI
28 Aug 2019
TL;DR: A usability study to establish the suitability of the intervention prototype for the target user group and refine COPe-support and its delivery strategy before its launch as part of a large-scale clinical trial.
Abstract: BackgroundExisting research suggests that eHealth interventions targeting family carers of individuals with long-term illness offer a promising approach to care delivery. In particular, digital psy...

12 citations


Cites methods from "Content analysis: an introduction t..."

  • ...Two authors undertook the analysis to optimise the accuracy of the analysis.(38)...

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Journal ArticleDOI
TL;DR: In this article, the authors explored teacher talk in the early phase of a project in a Norwegian elementary school where Lesson Study was used as a method for professional development, focusing on i...
Abstract: This study explores teacher talk in the early phase of a project in a Norwegian elementary school where Lesson Study is used as a method for professional development. The study focuses on i...

12 citations

Proceedings ArticleDOI
29 Apr 2022
TL;DR: The case of a gender-ambiguous humanoid robot, called Pepper, was reviewed in this paper , where the authors found that ascriptions of Pepper's gender were inconsistent, limited, and at times discordant, with little evidence of conscious gendering and some indication of researcher influence on participant gender.
Abstract: Gender/ing guides how we view ourselves, the world around us, and each other--including non-humans. Critical voices have raised the alarm about stereotyped gendering in the design of socially embodied artificial agents like voice assistants, conversational agents, and robots. Yet, little is known about how this plays out in research and to what extent. As a first step, we critically reviewed the case of Pepper, a gender-ambiguous humanoid robot. We conducted a systematic review (n=75) involving meta-synthesis and content analysis, examining how participants and researchers gendered Pepper through stated and unstated signifiers and pronoun usage. We found that ascriptions of Pepper's gender were inconsistent, limited, and at times discordant, with little evidence of conscious gendering and some indication of researcher influence on participant gendering. We offer six challenges driving the state of affairs and a practical framework coupled with a critical checklist for centering gender in research on artificial agents.

12 citations

Journal ArticleDOI
TL;DR: In this article, a study sought to determine whether students were able to identify significant “turning point“ events contributing to relational changes with university instructors and found that a total of 117 turning points were identified.
Abstract: This study sought to determine whether students were able to identify significant “turning point“ events contributing to relational changes with university instructors. Fifty-two senior university students were interviewed using the Retrospective Interview Technique. A total of 117 turning points were identified. Content analysis of the data revealed two mutually exclusive and exhaustive categories: Perception of Instructional Communication Competence and Character and Perception of Instructor's Management Style. These major categories were further divided into six subcategories. The paper concludes with discussion of the implications of these findings and recommendations for future research.

12 citations

Trending Questions (1)
Step-by-step process of conventional content analysis?

The paper provides a practical guide to content analysis, including steps such as unitizing, sampling, recording data, and using analytical techniques.