Daily data collection: A comparison of three methods

1999 ◽  
Vol 36 (1) ◽  
pp. 76-81 ◽  
Author(s):  
Diane M. Morrison ◽  
Barbara C. Leigh ◽  
Mary Rogers Gillmore
Keyword(s):  
2021 ◽  
pp. 088626052110630
Author(s):  
Elizabeth A. Mumford ◽  
Bruce G. Taylor ◽  
Mateusz Borowiecki ◽  
Poulami Maitra

Interpersonal conflicts are inevitable, but the probability that conflicts involve aggressive behavior varies. Prior research that has tended to focus on victimization in intimate partnerships reported through retrospective designs. Addressing these limitations, the current study examines daily reports of behaving aggressively in any conflict across relationships in a sample of 512 young adults drawn from the nationally representative iCOR cohort. Respondent attitudes and affective measures were collected at the end of the daily data collection period. Regression methods were applied to examine the probability and frequency of aggression, investigating early and recent exposure to adversities, attitudes, self-control, affect and emotional states, and alcohol use behavior. Recent adversities and the propensity to endorse a defensive honor code attitude, consistent with theory and retrospective studies of aggression, predicted both prevalence and frequency of aggressive behavior. The associations of childhood maltreatment and self-control with the prevalence of behaving aggressively were as expected, but these constructs were significantly associated with the frequency of aggression with unexpected, inverse directionality. Moreover, respondents’ affect and other emotional states were only associated with the frequency, not the prevalence, of aggressive behavior. Overall, this daily data collection constructively distinguished risk and protective factors for behaving aggressively more often. Further research is needed to disentangle the extent to which affective states drive or is a consequence of frequent aggressive behavior.


2000 ◽  
Vol 10 (7) ◽  
pp. 457 ◽  
Author(s):  
CB Johannes ◽  
J Woods ◽  
S Crawford ◽  
H Cochran ◽  
D Tran ◽  
...  
Keyword(s):  

2001 ◽  
Vol 38 (1) ◽  
pp. 35-42 ◽  
Author(s):  
Mary Rogers Gillmore ◽  
Jan Gaylord ◽  
Jane Hartway ◽  
Marilyn J. Hoppe ◽  
Diane M. Morrison ◽  
...  

2000 ◽  
Vol 24 (1) ◽  
pp. 102-116 ◽  
Author(s):  
Marilyn J. Hoppe ◽  
Mary Rogers Gillmore ◽  
Danny L. Valadez ◽  
Diane Civic ◽  
Jane Hartway ◽  
...  

2011 ◽  
Vol 87 (Suppl 1) ◽  
pp. A260-A261 ◽  
Author(s):  
C. Malotte ◽  
A. Cutting ◽  
S. Huettner ◽  
P. Matson ◽  
J. Ellen

Author(s):  
Raquel Franco Zambom Valêncio ◽  
Juli Thomaz de Souza ◽  
Fernanda Cristina Winckler ◽  
Gabriel Pinheiro Modolo ◽  
Natalia Cristina Ferreira ◽  
...  

ABSTRACT Background: There is a high demand for stroke patient data in the public health systems of middle and low-income countries. Objective: To develop a stroke databank for integrating clinical or functional data and benchmarks from stroke patients. Methods: This was an observational, cross-sectional, prospective study. A tool was developed to collect all clinical data during hospitalizations due to stroke, using an electronic editor of structured forms that was integrated with electronic medical records. Validation of fields in the electronic editor was programmed using a structured query language (SQL). To store the results from SQL, a virtual table was created and programmed to update daily. To develop an interface between the data and user, the Embarcadero Delphi software and the DevExpress component were used to generate the information displayed on the screen. The data were extracted from the fields of the form and also from cross-referencing of other information from the computerized system, including patients who were admitted to the stroke unit. Results: The database was created and integrated with the hospital electronic system, thus allowing daily data collection. Quality indicators (benchmarks) were created in the database for the system to track and perform decision-making in conjunction with healthcare service managers, which resulted in improved processes and patient care after a stroke. An intelligent portal was created, in which the information referring to the patients was accessible. Conclusions: Based on semi-automated data collection, it was possible to create a dynamic and optimized Brazilian stroke databank.


2021 ◽  
pp. 1-13
Author(s):  
Artur Petrosyan ◽  
Hayk Azizbekyan ◽  
Boris Gasparyan ◽  
Roberto Dan ◽  
Arsen Bobokhyan ◽  
...  

Overview Daily data collection during archaeological fieldwork forms the basis for later interpretation and analysis. Across the world, we observe a wide variety of digital data collection methods and tools employed during fieldwork. Here, we detail the daily practices at four recent survey and excavation projects in the South Caucasian country of Armenia. As archaeology continues to become ever more digital, it is useful to consider these day-to-day recording processes at a typical field project. We provide details on both the types of data collected and the ways they are collected so as to foreground these topics. Finally, we reflect on how our work is currently impacted by digital changes and how it may continue to change in the future.


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