scholarly journals Observation and Institutional Ethnography: Helping Us to See Better

2021 ◽  
pp. 104973232110159
Author(s):  
Sarah Balcom ◽  
Shelley Doucet ◽  
Anik Dubé
Keyword(s):  
Health Care ◽  
Data Collection ◽  
Social Research ◽  
Institutional Ethnography ◽  
Collection Method ◽  
Data Collection Methods ◽  
Data Collection Method ◽  
Qualitative Approaches ◽  
Collection Methods

Observation is a staple data collection method, which is used in many qualitative approaches, including both traditional and institutional ethnographies. While observation is one of the most used data collection methods in traditional ethnography, less is written about its use by institutional ethnographers. Institutional ethnography is an approach to social research where the aim is to explicate how peoples’ every activities are coordinated or ruled by different institutions. In this article we explore uses of observation as a data collection method, focusing on its use in institutional ethnography. We use examples from the health care literature to show how observation can be beneficial and help institutional ethnographers see better.

scholarly journals Node-Gosper Island-Based Data Collection Method with Recharge Plan for Rechargeable Wireless Sensor Networks

2018 ◽  
Vol 201 ◽  
pp. 03001
Author(s):  
Chi-Chang Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Power Consumption ◽  
Wireless Sensor ◽  
Transmission Method ◽  
Collection Method ◽  
Data Collection Methods ◽  
Data Collection Method ◽  
Collection Methods

Because of recent advances in wireless power transfer technologies, several key topics of wireless sensor networks (WSNs) need to be revisited. Traditional data collection methods for WSNs typically consider the balance of power consumption among sensors as a critical design criterion for avoiding uneven power depletion in the networks. I propose a solution for the uneven power consumption problem of data collection over WSNs. I designed a node-Gosper island-based scalable hierarchical cluster transmission method in conjunction with a wireless recharge plan for data collection over rechargeable WSNs. For the recharge plan, I used a mobile wireless charger to visit and recharge the batteries of sensors located on different levels of node-Gosper curves with various frequencies. The duration of each recharging process for each layer of sensors was calculated to verify the feasibility of the proposed recharge plan. The simulation results indicate that my proposed data collection method outperforms several well-known data collection methods in terms of energy consumption.

Not for the faint of heart

2014 ◽  
Vol 9 (1) ◽  
pp. 47-65 ◽  
Author(s):  
Ann-Marie Urban ◽  
Elizabeth Quinlan
Keyword(s):  
Health Care ◽  
Data Collection ◽  
Health Care Organizations ◽  
Institutional Ethnography ◽  
Health Care Environment ◽  
Care Environment ◽  
Collection Method ◽  
Content Type ◽  
Data Collection Method ◽  
Health Care Context

Purpose – The purpose of this paper is to share two researcher's experience about the challenges associated with shadowing within the health care context. Design/methodology/approach – Institutional ethnography and shadowing. Findings – Shadowing is increasingly being used as a data collection method, however, before proceeding to use this approach in today's health care environment, the researcher must give thoughtful consideration to the context. Originality/value – This paper provides a reflexive elaboration of the differences between the insider and outsider perspective when using the shadowing data collection method within health care organizations.

scholarly journals A Novel Data Collection Method with Recharge Plan for Rechargeable Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Chi-Chang Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Power Consumption ◽  
Wireless Sensor ◽  
Transmission Method ◽  
Collection Method ◽  
Data Collection Methods ◽  
Data Collection Method ◽  
Collection Methods

Because of recent advances in wireless power transfer technologies, several key topics of wireless sensor networks (WSNs) need to be revisited. Traditional data collection methods for WSNs typically consider the balance of power consumption among sensors as a critical design criterion for avoiding uneven power depletion in the networks. I propose a solution for the uneven power consumption problem of data collection over WSNs. I designed a node-Gosper island-based scalable hierarchical cluster transmission method in conjunction with a wireless recharge plan for data collection over rechargeable WSNs. For the recharge plan, I used mobile wireless chargers to visit and recharge the batteries of sensors located on different levels of node-Gosper curves with various frequencies. The duration of each recharging process for each layer of sensors was calculated to verify the feasibility of the proposed recharge plan. The simulation results indicate that my proposed data collection method outperforms several well-known data collection methods in terms of energy consumption and that my proposed recharge plan is more efficient than previous approaches in terms of charge path length, number of alive nodes, and traveling efficiency.

Electronic and paper based data collection methods in library and information science research

2015 ◽  
Vol 116 (9/10) ◽  
pp. 588-609 ◽  
Author(s):  
Adeyinka Tella
Keyword(s):  
Data Collection ◽  
Information Science ◽  
Library And Information Science ◽  
Collection Method ◽  
Content Type ◽  
Electronic Data Collection ◽  
Data Collection Methods ◽  
Electronic Method ◽  
Information Professionals ◽  
Collection Methods

Purpose – This study aims to examine a comparative analysis of electronic- and paper-based data collection methods. Design/methodology/approach – Survey research approach was adopted to conduct the study. A total of 500 library and information science (LIS) researcher/information professionals selected randomly from seven states in Nigeria represent the sample for the study. A self-designed questionnaire was used to gather data from the respondents. Six objectives were developed to guide the study. Findings – The findings reveal that there is preference for paper-based than the electronic-based data collection methods, and similarly, respondents indicated they cannot use any other data collection methods other than paper-based. Electronic data collection method is beneficial in terms of gathering a representative sample within a short period compared to the paper-based method. The researcher has control over access to the survey in the paper-based method compared to the electronic method, and there is opportunity to monitor the progress of the research and clarify ambiguity by the researcher. The electronic method is limited in terms of collecting data from only the respondents who are computer-literate with good Web skills, while the paper-based method is limited by higher attrition rate, money and time consumption. Research limitations/implications – The study did not consider the time needed to gather data with each method or the amount of time needed for data entry, cleaning and coding. It is possible that a time-motion study would reveal clear superiority of either one method or the other. The total sample of participants in the study is also limited, considering the total number of LIS researcher/information professionals in Nigeria. Practical implications – The study has underlined the value of electronic/Web-based collection as a cost- and time-saving instrument in modern LIS research. Regardless of method and trial, electronic data collection could fulfill in all examined parameters, its promises, realizing cost savings of up to a 50 per cent in comparison with the paper-based data collection method. Originality/value – The paper is solely the idea of the author.

scholarly journals One-Sentence, One-Word: An Innovative Data Collection Method to Enhance Exploration of the Lived Experiences

2018 ◽  
Author(s):  
Shannon Sibbald ◽  
Dylan Brennan ◽  
Aleksandra Zecevic
Keyword(s):  
Data Collection ◽  
Design Research ◽  
Phenomenological Study ◽  
Research Process ◽  
Subjective Experiences ◽  
Master Athletes ◽  
Research Strategies ◽  
Collection Method ◽  
Data Collection Method ◽  
Qualitative Approaches

Experienced-based methods are growing in popularity and are increasingly being utilized in a variety of research programs and investigations. They enable researchers and participants to co-design research strategies and outcomes and subsequently propose solutions to potential problems in the partnership. By applying an experience-based methods lens, we sought to augment traditional qualitative interviewing methodologies by using a novel method we named “one-sentence, one-word” (1S1W). To apply our 1S1W method, we used a phenomenological study that examined the relationship between the risk of falling and the desire of master athletes to engage in competitive sports. Participants reflected and recorded their subjective experiences in the form of one-sentence and one-word responses, at the beginning and end of the interview, respectively. Half of all participants associated the risk of falls with negative words; however, all participants used positive sentences to describe their experience as master athletes. Considering other qualitative findings, this method, while brief and relatively simple, gave a very rich and accurate depiction of participants’ overall experiences (e.g., themes). The 1S1W data collection method complements traditional qualitative approaches and encourages participant reflection; we believe our method has applicability across the research process. In one word, it isolates the ESSENCE.

A Comparison of Four Feature Systems Using Data from Three Psychophysical Methods

1972 ◽  
Vol 15 (4) ◽  
pp. 821-830 ◽  
Author(s):  
Sadanand Singh ◽  
Gordon M. Becker
Keyword(s):  
Data Collection ◽  
Multiple Regression ◽  
Multiple Correlation ◽  
Collection Method ◽  
Data Collection Method ◽  
Analysis Technique ◽  
Regression Techniques ◽  
Using Data ◽  
Collection Methods ◽  
Feature System

Four feature systems (Miller-Nicely, Singh-Black, Wickelgren, and Chomsky-Halle) were compared under three different perceptual tasks involving the ability of subjects to auditorily discriminate pairs and triads of 22 prevocalic English consonants. More than 1000 listeners participated in these experiments. The features in each system were weighted using multiple regression techniques. The weights differed from one data collection method to another for the same feature system, and from one system to another for the same data collection method. The 11-feature Chomsky-Halle system showed the highest multiple correlation for two of the three data collection methods. However, when weights obtained from one method were used to predict the data from another method, the Chomsky-Halle system was best on only one of the three sets of data. The results raised some questions regarding the generality of the systems, the appropriateness of the features, or the appropriateness of the analysis technique.

Feasibility Study of the Development, Implementation, and Evaluation of Computer-Based Job and Occupational Data Collection Methods

1998 ◽  
Author(s):  
J. L. Mitchell ◽  
Winston Bennett ◽  
J. J. Weissmuller ◽  
R. L. Gosc ◽  
Patricia Waldroop ◽  
...  
Keyword(s):  
Data Collection ◽  
Feasibility Study ◽  
Data Collection Methods ◽  
Computer Based ◽  
Collection Methods
Sign in / Sign up

Export Citation Format

Share Document