scholarly journals Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications

2022 ◽  
Vol 29 (1) ◽  
pp. 1-28
Author(s):  
Eunice Jun ◽  
Melissa Birchfield ◽  
Nicole De Moura ◽  
Jeffrey Heer ◽  
René Just
Keyword(s):  
Content Analysis ◽  
Mixed Methods ◽  
Data Analysis ◽  
Data Collection ◽  
Statistical Models ◽  
Mixed Methods Study ◽  
Search Process ◽  
Research Papers ◽  
Proxy Variables ◽  
Key Steps

Data analysis requires translating higher level questions and hypotheses into computable statistical models. We present a mixed-methods study aimed at identifying the steps, considerations, and challenges involved in operationalizing hypotheses into statistical models, a process we refer to as hypothesis formalization . In a formative content analysis of 50 research papers, we find that researchers highlight decomposing a hypothesis into sub-hypotheses, selecting proxy variables, and formulating statistical models based on data collection design as key steps. In a lab study, we find that analysts fixated on implementation and shaped their analyses to fit familiar approaches, even if sub-optimal. In an analysis of software tools, we find that tools provide inconsistent, low-level abstractions that may limit the statistical models analysts use to formalize hypotheses. Based on these observations, we characterize hypothesis formalization as a dual-search process balancing conceptual and statistical considerations constrained by data and computation and discuss implications for future tools.

scholarly journals Identification of Factors That Motivate People With Multiple Sclerosis to Participate in Digital Data Collection in Research: Sequential Mixed Methods Study (Preprint)

2019 ◽  
Author(s):  
Astrid Karnoe ◽  
Lars Kayser ◽  
Lasse Skovgaard
Keyword(s):  
Multiple Sclerosis ◽  
Content Analysis ◽  
Mixed Methods ◽  
Data Collection ◽  
Phase 1 ◽  
Mixed Methods Study ◽  
Digital Data ◽  
Phase 2 ◽  
Data Collection Tool ◽  
Sequential Mixed Methods

BACKGROUND Digital data collection has the potential to reduce participant burden in research projects that require extensive registrations from participants. To achieve this, a digital data collection tool needs to address potential barriers and motivations for participation. OBJECTIVE This study aimed to identify factors that may affect motivation for participation and adoption of a digital data collection tool in a research project on nutrition and multiple sclerosis (MS). METHODS The study was designed as a sequential mixed methods study with 3 phases. In phase 1, 15 semistructured interviews were conducted in a Danish population of individuals with MS. Interview guide frameworks were based on dimensions from the electronic health literacy framework and the Health Education Impact Questionnaire. Data from phase 1 were analyzed in a content analysis, and findings were used to inform the survey design in phase 2 that validates the results from the content analysis in a larger population. The survey consisted of 14 items, and it was sent to 1000 individuals with MS (response rate 42.5%). In phase 3, participants in 3 focus group interviews discussed how findings from phases 1 and 2 might affect motivation for participation and adoption of the digital tool. RESULTS The following 3 categories related to barriers and incentives for participation were identified in the content analysis of the 15 individual interviews: (1) life with MS, (2) use of technology, and (3) participation and incentives. Phase 1 findings were tested in phase 2’s survey in a larger population (n=1000). The majority of participants were comfortable using smartphone technologies and participated actively on social media platforms. MS symptoms did cause limitations in the use of Web pages and apps when the given pages had screen clutter, too many colors, or too small buttons. Life with MS meant that most participants had to ration their energy levels. Support from family and friends was important to participants, but support could also come in the form of physical aids (walking aids and similar) and digital aids (reminders, calendar functions, and medication management). Factors that could discourage participation were particularly related to the time it would take every day. The biggest motivations for participation were to contribute to research in MS, to learn more about one’s own MS and what affects it, and to be able to exchange experiences with other people with MS. CONCLUSIONS MS causes limitations that put demands on tools developed for digital data collection. A digital data collection tool can increase chances of high adoption rates, but it needs to be supplemented with a clear and simple project design and continuous communication with participants. Motivational factors should be considered in both study design and the development of a digital data collection tool for research.

scholarly journals Identification of Factors That Motivate People With Multiple Sclerosis to Participate in Digital Data Collection in Research: Sequential Mixed Methods Study

10.2196/13295 ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. e13295 ◽  
Author(s):  
Astrid Karnoe ◽  
Lars Kayser ◽  
Lasse Skovgaard
Keyword(s):  
Multiple Sclerosis ◽  
Content Analysis ◽  
Mixed Methods ◽  
Data Collection ◽  
Phase 1 ◽  
Mixed Methods Study ◽  
Digital Data ◽  
Phase 2 ◽  
Data Collection Tool ◽  
Sequential Mixed Methods

Background Digital data collection has the potential to reduce participant burden in research projects that require extensive registrations from participants. To achieve this, a digital data collection tool needs to address potential barriers and motivations for participation. Objective This study aimed to identify factors that may affect motivation for participation and adoption of a digital data collection tool in a research project on nutrition and multiple sclerosis (MS). Methods The study was designed as a sequential mixed methods study with 3 phases. In phase 1, 15 semistructured interviews were conducted in a Danish population of individuals with MS. Interview guide frameworks were based on dimensions from the electronic health literacy framework and the Health Education Impact Questionnaire. Data from phase 1 were analyzed in a content analysis, and findings were used to inform the survey design in phase 2 that validates the results from the content analysis in a larger population. The survey consisted of 14 items, and it was sent to 1000 individuals with MS (response rate 42.5%). In phase 3, participants in 3 focus group interviews discussed how findings from phases 1 and 2 might affect motivation for participation and adoption of the digital tool. Results The following 3 categories related to barriers and incentives for participation were identified in the content analysis of the 15 individual interviews: (1) life with MS, (2) use of technology, and (3) participation and incentives. Phase 1 findings were tested in phase 2’s survey in a larger population (n=1000). The majority of participants were comfortable using smartphone technologies and participated actively on social media platforms. MS symptoms did cause limitations in the use of Web pages and apps when the given pages had screen clutter, too many colors, or too small buttons. Life with MS meant that most participants had to ration their energy levels. Support from family and friends was important to participants, but support could also come in the form of physical aids (walking aids and similar) and digital aids (reminders, calendar functions, and medication management). Factors that could discourage participation were particularly related to the time it would take every day. The biggest motivations for participation were to contribute to research in MS, to learn more about one’s own MS and what affects it, and to be able to exchange experiences with other people with MS. Conclusions MS causes limitations that put demands on tools developed for digital data collection. A digital data collection tool can increase chances of high adoption rates, but it needs to be supplemented with a clear and simple project design and continuous communication with participants. Motivational factors should be considered in both study design and the development of a digital data collection tool for research.

TANTANGAN DAN PENGUATAN IDEOLOGI PANCASILA DALAM MENGHADAPI ERA REVOLUSI INDUSTRI 4.0

2019 ◽  
Vol 2 (02) ◽  
pp. 66-78
Author(s):  
Nurul Fadilah
Keyword(s):  
Content Analysis ◽  
National Identity ◽  
Data Analysis ◽  
Data Collection ◽  
Human Resources ◽  
Research Method ◽  
Industrial Revolution ◽  
Qualitative Approach ◽  
The State ◽  
Way Of Life

The ideology of Pancasila as a way of life, the basis of the state, and national identity has a various challenge from time to time so that the existence of Pancasila as an Ideology must be maintained, especially in industrial revolution 4.0. The research method used is a qualitative approach by doing study of literature. In data collection the writer used documentation while in techniques data analysis used content analysis, inductive and descriptive. Results of the research about challenges and strengthening of the Pancasila Ideology in facing the era of the industrial revolution 4.0 are: (1)  grounding Pancasila, (2) increasing professional human resources based on Pancasila’s values, (3) maintaining the existence of Pancasila as the State Ideology.

Puzzle sebagai solusi peningkatan motivasi belajar siswa

At- Tarbawi ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 16-27
Author(s):  
Suratiningsih Suratiningsih
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Learning Motivation ◽  
The Internet ◽  
Data Analysis Technique ◽  
Library Research ◽  
Analysis Technique ◽  
The Media ◽  
Data Collection Technique

The research aims to describe the puzzling media as a solution to increase the learning motivation of elementary /MI student. This research is library research. It is a method that the data which is needed in completing research comes from library sources i.e. include books, encyclopedias, dictionaries, journals, documents, magazines, etc as well as various sources on the internet. The data collection technique used in this research is documentation. Documentation means looking for data about things in the form of notes, books, papers, articles, journal, and so on. Then, the data analysis technique used in this study is content analysis. In this analysis, the process of selecting, comparing, and combining various meanings will be found to be relevant. The media is an intermediary or introduction. Puzzle media can improve the students’ motivation to keep trying to solve problems. It is fun for students because it can be repeated. The challenges in the puzzle game will give you an addictive effect to always try and try until they are successful.

scholarly journals Implementation of Linguistic politeness throughout Online Lectures via WhatsApp during the Covid-19 Pandemic

2021 ◽  
Vol 5 (3) ◽  
pp. 195-211
Author(s):  
Nur Ihsan Halil ◽  
Takwa ◽  
Musliha
Keyword(s):  
Content Analysis ◽  
Social Network ◽  
Data Analysis ◽  
Data Collection ◽  
Training And Education ◽  
Linguistic Politeness ◽  
Online Lectures ◽  
Analysis Technique ◽  
Online Lecture ◽  
Data Collection Technique

This research aims to investigate the implementation of politeness in the language of lecturers and students as well as students and students through online lectures at the Faculty of Teacher Training and Education, Universitas Sembilanbelas November Kolaka on the WhatsApp application. The research methodology used is descriptive qualitative with a focus on research, namely the fulfillment and violations of the principles of politeness in the language contained in online lecture conversations on WhatsApp. The data collection technique uses documentation or screenshots, and the data analysis technique uses content analysis methods with inductive procedures. The results indicate that the communication of lecturers to students and students to students based on the WhatsApp social network still pays attention to the principles of linguistic politeness in communication discourse. Based on the WhatsApp social network, students and lecturers can meet the principles of linguistic politeness, including maxim of wisdom, generosity, appreciation, simplicity, compatibility, and sympathy. However, there were also still some violations of the principle of politeness.

scholarly journals Kohesi dan Koherensi dalam Koran Bisnis Indonesia dengan Judul Kemenperin Jamin Serap Garam Rakyat

2018 ◽  
Vol 1 (1) ◽  
pp. 138-153
Author(s):  
Goziyah Goziyah ◽  
Harninda Rizka Insani
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Data Reduction ◽  
Research Method ◽  
Data Interpretation ◽  
Qualitative Approach ◽  
Analysis Techniques ◽  
Relationship Of ◽  
The Relationship

The objective of this research was to provide an understanding of cohesion and coherence in the newspaper Bisnis Indonesia with title Kemenperin Jamin Serap Garam Rakyat. The research method used is the method of content analysis with a qualitative approach. Data collection techniques using documentation techniques. Data analysis techniques begin with data reduction, data tabulation, data classification, data interpretation, and conclusions. The results show that in the news text in the newspaper Bisnis Indonesia there is a more dominant cohesion found pronouns, ellipsis, and conjunctions or hyphens. Then, the coherence that is found is the relationship of contradictions, general specific relationships, comparison relationships, causal relationships, review relationships, and referral relationships. Keywords: cohesion, coherence, newspapers

scholarly journals DEVIATION IN POETRY GUILLAUME APOLLINAIRE'S POETRY COLLECTION

2019 ◽  
Vol 5 (2) ◽  
pp. 173-179
Author(s):  
Fitra Maulidya ◽  
Ninuk Lustyantie
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Qualitative Approach ◽  
Historical Period ◽  
Analysis Method ◽  
Guillaume Apollinaire ◽  
Content Analysis Method ◽  
Data Collection Technique ◽  
Deviation Theory

This research intends to describe the types of deviations contained in the collection of poems Calligrammes by Guillaume Apollinaire. The approach used is a qualitative approach with content analysis method. The data collection technique used is Miles and Huberman. The theory used as the main reference is the deviation theory according to Geoffrey N. Leech which divides the deviation into eight types, namely lexical deviation, phonological deviation, grammatical deviation which includes morphological and syntactic, graphological deviation, semantic deviation, dialectal deviation, deviation of register, and deviation of historical period. The result of data analysis from 7 poems found 5 out of 8 types of deviation which are diffused in each poem, including 24 semantic deviations, 18 graphological deviations, 4 deviations of register, 3 syntactic deviations and 2 lexical deviations. While the types of phonological deviation, morphological deviation, dialectal deviation, and deviation of historical period are not found in any of the data in this collection of poems Calligrammes.

The Lady Knows the Recipe

2018 ◽  
Vol 140 (1) ◽  
pp. 7-38
Author(s):  
Alice Guilluy
Keyword(s):  
Mixed Methods ◽  
Data Collection ◽  
Small Group ◽  
Feminist Research ◽  
Mixed Methods Study ◽  
Feminist Methodology ◽  
Romantic Comedy ◽  
National Differences ◽  
Phd Thesis

This article outlines the methodology of my PhD thesis, which examined the reception of contemporary Hollywood romantic comedy in Britain, France and Germany. I underline the significant epistemological and methodological shift which took place over the course of four years, as my research went from a positivist mixed-methods study aiming to describe national differences in reception, to a constructivist and qualitative interrogation of the specific pleasures of romantic comedy viewing as manifested by a small group of participants. I conclude that whilst there is no single perfect feminist methodology, doing feminist research must include a degree of self-introspection at all stages of the research, from recruitment to data collection to analysis.

Who Creates Microtransactions : The Production Context of Video Game Monetization

2021 ◽  
Author(s):  
Lies van Roessel ◽  
Jan Švelch
Keyword(s):  
Content Analysis ◽  
Mixed Methods ◽  
Data Analysis ◽  
Frequency Analysis ◽  
Video Game ◽  
Job Descriptions ◽  
Structured Interviews ◽  
Game Development ◽  
Mixed Methods Approach ◽  
Roles And Responsibilities

Despite a growing academic interest in in-game monetization, much less attention has been paid to the production context of microtransactions. With this chapter, we aim to address this gap by focusing on the roles and responsibilities related to video game monetization. We answer the titular question of this chapter using a mixed methods approach, combining semi-structured interviews, content analysis of job descriptions, and frequency analysis of in-game credits. Results suggest that monetization responsibilities are both being integrated into various existing roles, including game designers or product managers, but also spawn new dedicated roles of monetization specialists. Monetization as a game development task is closely related to data analysis and only inconsistently appears in in-game credits.

scholarly journals Ethical misconduct by registered physiotherapists in South Africa (2007–2013): A mixed methods approach

2015 ◽  
Vol 71 (1) ◽  
Author(s):  
Willem A. Hoffmann ◽  
Nico Nortjé
Keyword(s):  
South Africa ◽  
Content Analysis ◽  
Mixed Methods ◽  
Data Analysis ◽  
Qualitative Content Analysis ◽  
Epidemiological Data ◽  
Unethical Conduct ◽  
Mixed Methods Approach ◽  
Ethical Misconduct ◽  
Patient Consent

Background: The role of ethics in a medical context is to protect the interests of patients. Thus,it is critically important to understand the guilty verdicts related to professional standard breaches and ethics misconduct of physiotherapists.Aim: To analyse the case content and penalties of all guilty verdicts related to ethics misconduct against registered physiotherapists in South Africa.Methods: A mixed methods approach was followed consisting of epidemiological data analysis and qualitative content analysis. The data documents were formal annual lists (2007–2013) of guilty verdicts related to ethical misconduct. Quantitative data analysis focused on annual frequencies of guilty verdicts, transgression categories and the imposed penalties. Qualitative data analysis focused on content analysis of the case content for each guilty verdict.Results: Relatively few physiotherapists (0.05%) are annually found guilty of ethical misconduct. The two most frequent penalties were fines of R5000.00 and fines of R8000.00–R10 000.00. The majority of transgressions involved fraudulent conduct (70.3%), followed by performance of procedures without patient consent (10.8%). Fraudulent conduct involved issuing misleading, inaccurate or false medical statements, and false or inaccurate medical aid scheme claims.Conclusion: Unethical conduct by physiotherapists in South Africa occurs rarely. The majority of penalties imposed on sanctioned physiotherapists were monetary penalties.

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