Research Methodologies, Data Collection, and Analysis at MailChimp

2015 ◽  
pp. 170-189
Author(s):  
Gregg Bernstein ◽  
Laurissa Wolfram-Hvass
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Crucial Role ◽  
Research Team ◽  
Research Process ◽  
Research Methodologies ◽  
Data Collection And Analysis ◽  
Short Films ◽  
Research Questions

Research plays a crucial role in understanding and improving the user experience. In this case study, members of software company MailChimp's Research team explain the company's data collection, analysis, and communication methodologies. Using methods that include customer interviews, big data, reports, and short films, the team moves through the research process, beginning with research questions and concluding with actionable insights.

Making a Case for a Blended Approach

2017 ◽  
Vol 8 (2) ◽  
pp. 72-81
Author(s):  
Cynthia C. M. Deaton ◽  
Jacquelynn A. Malloy
Keyword(s):  
Data Collection ◽  
Case Studies ◽  
Systematic Approach ◽  
Design Based Research ◽  
Instructional Innovation ◽  
Data Collection And Analysis ◽  
Research Questions ◽  
Instructional Innovations ◽  
Bounded System

Design-based case studies address research questions that involve instructional innovations within a bounded system. This blend of case study and design-based research provides a systematic approach to examining instructional innovations that are bounded by perspective, context, and time. Design-based case studies provide a framework for engaging in iterative cycles of data collection and analysis that are used to determine how, why, and whether the goals of an instructional innovation have been met. The authors note common concerns surrounding case study and design-based research and how design-based case studies address these concerns by building on the strengths of both approaches.

scholarly journals Planning Qualitative Research: Design and Decision Making for New Researchers

2020 ◽  
Vol 19 ◽  
pp. 160940692096717
Author(s):  
Lesley Eleanor Tomaszewski ◽  
Jill Zarestky ◽  
Elsa Gonzalez
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Data Collection ◽  
Qualitative Approach ◽  
Qualitative Research Design ◽  
Qualitative Approaches ◽  
Data Collection And Analysis ◽  
Starting Point ◽  
Research Questions

For students and novice researchers, the choice of qualitative approach and subsequent alignment among problems, research questions, data collection, and data analysis can be particularly tricky. Therefore, the purpose of this paper is to provide a concise explanation of four common qualitative approaches, case study, ethnography, narrative, and phenomenology, demonstrating how each approach is linked to specific types of data collection and analysis. We first introduce a summary and key qualities of each approach. Then, using two common research contexts, we apply each approach to design a study, enabling comparisons among approaches and demonstrating the internal consistency within each approach. Given the nuance and complexity of qualitative research, this paper provides an accessible starting point from which novice researchers can begin their journey of learning about, designing, and conducting qualitative research.

scholarly journals Thinking about police data: Analysts’ perceptions of data quality in Canadian policing

2021 ◽  
pp. 0032258X2110214
Author(s):  
Christopher D O’Connor ◽  
John Ng ◽  
Dallas Hill ◽  
Tyler Frederick
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Data Quality ◽  
Research Culture ◽  
Police Services ◽  
Police Data ◽  
Data Collection And Analysis ◽  
Quality Issues

Policing is increasingly being shaped by data collection and analysis. However, we still know little about the quality of the data police services acquire and utilize. Drawing on a survey of analysts from across Canada, this article examines several data collection, analysis, and quality issues. We argue that as we move towards an era of big data policing it is imperative that police services pay more attention to the quality of the data they collect. We conclude by discussing the implications of ignoring data quality issues and the need to develop a more robust research culture in policing.

scholarly journals Fieldwork on epistemic authority markers: What we can learn from different types of data

2020 ◽  
Vol 54 (2) ◽  
pp. 405-445 ◽  
Author(s):  
Karolina Grzech
Keyword(s):  
Data Collection ◽  
Discourse Markers ◽  
Epistemic Modality ◽  
Linguistic Meaning ◽  
Epistemic Authority ◽  
Data Collection And Analysis ◽  
The Right To Know ◽  
Cognitive Study ◽  
The Right

AbstractEpistemicity in language encompasses various kinds of constructions and expressions that have to do with knowledge-related aspects of linguistic meaning (cf. Grzech, Karolina, Eva Schultze-Berndt and Henrik Bergqvist. 2020c. Knowing in interaction: an introduction. Folia Linguistica [this issue]). It includes some well-established categories, such as evidentiality and epistemic modality (Boye, Kasper. 2012. Epistemic meaning: A crosslinguistic and functional-cognitive study. Berlin: De Gruyter Mouton), but also categories that have been less well described to-date. In this paper, I focus on one such category: the marking of epistemic authority, i.e. the encoding of “the right to know or claim” (Stivers, Tanya, Lorenza Mondada & Jakob Steensig. 2011b. Knowledge, morality and affiliation in social interaction. In Stivers et al. 2011a). I explore how the marking of epistemic authority can be documented and analysed in the context of linguistic fieldwork. The discussion is based on a case study of Upper Napo Kichwa, a Quechuan language spoken in the Ecuadorian Amazon that exhibits a rich paradigm of epistemic discourse markers, encoding meanings related to epistemic authority and distribution of knowledge between discourse participants. I describe and appraise the methodology for epistemic fieldwork used in the Upper Napo Kichwa documentation and description project. I give a detailed account of the different tools and methods of data collection, showing their strengths and weaknesses. I also discuss the decisions made at the different stages of the project and their implications for data collection and analysis. In discussing these issues, I extrapolate from the case study, proposing practical solutions for fieldwork-based research on epistemic markers.

scholarly journals Mask-Making and Drawing as Method: Arts-Based Approaches to Data Collection With War-Affected Children

2019 ◽  
Vol 18 ◽  
pp. 160940691983247
Author(s):  
Amber Green ◽  
Myriam Denov
Keyword(s):  
Data Collection ◽  
Research Team ◽  
Data Gathering ◽  
Research Process ◽  
Future Research ◽  
Northern Uganda ◽  
Visual Methods ◽  
Conflict Zones ◽  
Mask Making ◽  
In Captivity

Globally, the numbers of children living in conflict zones and displaced by war have risen dramatically over the past two decades, and with this, scholarly attention to the impacts of war on children. More recently, researchers have examined how war-affected children are being studied, revealing important shortcomings. These limitations relate to the lack of child participation in research, the need for researchers to engage children in the research process as “active agents” rather than “passive objects” under study, as well as the need for researchers to pay closer attention to ethical dilemmas associated with researching war-affected children. To address these realities, innovative research methods that can be adapted across diverse sociocultural contexts are warranted. In light of these shortcomings, our research team integrated two arts-based methods: mask-making and drawing, alongside traditional qualitative data collection methods with a particularly marginalized population of young people: children born in captivity within the Lord’s Resistance Army in northern Uganda. In this article, we provide information on the context of northern Uganda. We describe how the use of mask-making and drawing was used as data gathering tools and the ways in which these arts-based methods had important benefits for the research participants, researchers, and impacted on the validity of the research as a whole. We propose that the use of these participatory visual methods enriched the themes elicited through more traditional methods. The article describes how these arts-based mediums fostered community building among children typically excluded from their communities and were successful as a tool to build trust between participants and the research team when exploring sensitive topics. The article concludes with implications for future research with war-affected children.

Pathways of Youth Radicalization in Pakhtun Society: Applying the Anomie and Strain Theory

2020 ◽  
Vol 3 (2) ◽  
pp. 150-157
Author(s):  
Zafar Khan ◽  
Rahman Ullah ◽  
Uzma Kamal
Keyword(s):  
Data Collection ◽  
Strain Theory ◽  
Primary Data ◽  
Emile Durkheim ◽  
Cultural Environment ◽  
Transitional Stage ◽  
Strain Condition ◽  
Major Objective ◽  
Data Collection And Analysis

This article investigates the normlessness and strain situation radicalizing impact on youth radicalization in Pashtun semi-tribal society. The major objective of the study to explore the Anomic and Strain Condition in Pashtun Society in the light of sociological theories and effects of anomic situation on youth radicalization in Pashtun society. For this study Pashtun, society was selected as a case study because Pashtun society has been passing from the transitional stage. Keeping in view the nature of the study the qualitative paradigms were adopted for data collection and analysis. Different themes were derived from the primary data. Emile Durkheim and Robert Merton theories are applied to analyse themes which focuses the anomic and strain conditions in Pashtun society. It is revealed that youth in Pashtun society faces the normlessness and strain situation. It is investigated that the rapid socio-cultural and technological change after the advent of globalization pushed youth to anomic and strain situation, which exposed youth to radicalization. It is revealed that the normlessness and strain situation indirectly set a stage for the youth radicalization in Pashtun society. For the affective counter-radicalization the sociological facts need to be investigated to curb the favourable socio-cultural environment of radicalization.

Case Study Methodology

2019 ◽  
pp. 60-82
Author(s):  
Bela Florenthal ◽  
Ashley Ismailovski
Keyword(s):  
Data Collection ◽  
Quantitative Data ◽  
Secondary Data ◽  
Case Study Methodology ◽  
Data Collection And Analysis ◽  
Business Cases ◽  
Study Methodology ◽  
Internal Sources ◽  
Depth Interviews

This chapter provides an overview of case study methodology and its applications in writing case studies. The reader is introduced to the specific procedures that are implemented when developing a case study for educational purposes. The methodology discussed here is comprised of three parts: secondary data analysis (external and internal sources), qualitative data collection and analysis (e.g., in-depth interviews and observation technique), and quantitative data collection and analysis (e.g., surveys and questionnaires). After describing each method, the authors provide specific examples from published business cases to cement reader's understanding of how to successfully develop that method.

Design-Based Case Study

2018 ◽  
pp. 50-62
Author(s):  
Cynthia C. M. Deaton ◽  
Jacquelynn A. Malloy
Keyword(s):  
Data Collection ◽  
Case Studies ◽  
Case Study Research ◽  
Case Study Approach ◽  
Design Based Research ◽  
Study Research ◽  
Study Approach ◽  
Data Collection And Analysis ◽  
Instructional Innovations

Design-based case studies allow researchers to examine instructional innovations that are bounded by perspective, context, and time. Design-based case study is an approach that blends case study research with design-based research in order to more systematically examine the process and products of an intervention. This approach provides a framework for engaging in iterative cycles of data collection and analysis to determine if, how, and why goals of instructional innovations have been met. This chapter provides an overview of the design-based case study approach and responds to common concerns surrounding case study and design-based research and how design-based case studies address these concerns by building on the strengths of both approaches.

Empirical Strategies for Intersectional Research

2021 ◽  
pp. 29-46
Author(s):  
Christian Dyogi Phillips
Keyword(s):  
Los Angeles ◽  
Data Collection ◽  
Asian American ◽  
Demographic Data ◽  
Asian American Women ◽  
Candidate Emergence ◽  
Political Processes ◽  
Intersectionality Theory ◽  
Data Collection And Analysis

Chapter 2 specifies how the book’s research design operationalizes intersectionality theory through its multi-method and multilevel data collection and analysis. This includes an expanded discussion of how using this framework to analyze Asian American women and men, and Latina and Latino candidates, facilitates new understandings of the relationship between race-gendered political processes and electoral opportunity within those communities, and more generally across other groups. The chapter then details the data collection processes for the book’s original datasets. The first is the Gender Race and Communities in Elections dataset, encompassing candidate and district demographic data for every state legislative general election from 1996 to 2015 in 49 states. Next, the American Leadership Survey of state legislators fielded in 2015 is described. And finally, the design for a multi-method case study of Asian American and Latina/o candidate emergence in Los Angeles County is presented.

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