Data Collection

Author(s):  
David M. Corey ◽  
Mark Zelig

This chapter describes the procedures commonly followed in suitability and fitness evaluations, with a particular focus on the collection of data from three sources routinely required for these assessments. The authors discuss best practices for providing examinees with the necessary elements of disclosure about the evaluation, including its probable uses and potential negative outcomes, and for obtaining the examinee’s informed consent. The chapter includes detailed guidance for selecting assessment instruments, brief descriptions of the psychological tests most commonly used in suitability and fitness evaluations, and discussion of the emerging use of executive function measures in suitability evaluations.

Author(s):  
Steve Bruce

It is right that social researchers consider the ethical implications of their work, but discussion of research ethics has been distorted by the primacy of the ‘informed consent’ model for policing medical interventions. It is remarkably rare for the data collection phase of social research to be in any sense harmful, and in most cases seeking consent from, say, members of a church congregation would disrupt the naturally occurring phenomena we wish to study. More relevant is the way we report our research. It is in the disparity between how people would like to see themselves described and explained and how the social researcher describes and explains them that we find the greatest potential for ill-feeling, and even here it is slight.


Author(s):  
Elizabeth A. Johnson ◽  
Jane M. Carrington

It is estimated 1 in 3 clinical trials utilize a wearable device to gather real-time participant data, including sleep habits, telemetry, and physical activity. While wearable technologies (including smart watches, USBs, and implantable devices) have been revolutionary in their ability to provide a higher precision and accuracy to data acquisition external to the research milieu, there is hesitancy among providers and participants alike given security concerns, perception of cyber-related threats, and meaning attributed to privacy issues. The purpose of this research is to define cyber-situational awareness (CSA) as it pertains to clinical trials, evaluate its current measurement, and describe best practices for research investigators and trial participants to enhance protections in the digital age. This paper reviews integrated elements of CSA within the process of informed consent when wearable devices are implemented for trial procedures. Evaluation of CSA as part of informed consent allows the research site to support the participant in knowledge gaps surrounding the technology while also providing feedback to the trial sponsor as to technology improvements to enhance usability and wearability of the device.


Author(s):  
Ricard Huerta

Museari is an online museum dedicated to upholding human rights and sexual diversity through art, history, and education. Museari was born in 2015 and since then more than 70 exhibitions have been presented. This paper analyzes Museari's interest in teacher training, something that has been especially positive during the Covid-19 pandemic. The objective of the research is to reflect on the opportunity to use a virtual museum to address issues of art and education. For data collection, we used assessment instruments specific to the case study, such as diagnoses, discussions, focus groups, and participant observation. We highlight museum’s positive reception by the students, particularly the role it plays in overcoming stereotypes and conventional taboos to achieve inclusive environments.


2020 ◽  
Vol 1 (4) ◽  
pp. 10-39
Author(s):  
Neeta Baporikar

The objective of this study is to understand how employee EI is a critical factor for improved organizational performance. Adopting a qualitative approach with a case study research design, a sample of 40 employees was selected from the organization; data collection was done through a questionnaire after pilot testing. An analysis is done using SPSS, within an interpretative research paradigm using thematic analyses. Findings reflect that understanding and knowledge on EI and its influence on the performance may add value to the organization as employees become aware of the best practices and contribute better for organizational performance. Further, it was also noted that EI is a significant predictor of job and organizational performance only if it is advocated and spearheaded through individual performance classified into the task and contextual performance.


Author(s):  
Edward J. Mullen ◽  
Jennifer L. Bellamy ◽  
Sarah E. Bledsoe

This entry describes best practices as these are used in social work. The term best practices originated in the organizational management literature in the context of performance measurement and quality improvement where best practices are defined as the preferred technique or approach for achieving a valued outcome. Identification of best practices requires measurement, benchmarking, and identification of processes that result in better outcomes. The identification of best practices requires that organizations put in place quality data collection systems, quality improvement processes, and methods for analyzing and benchmarking pooled provider data. Through this process, organizational learning and organizational performance can be improved.


SLEEP ◽  
2020 ◽  
Author(s):  
Donald L Bliwise ◽  
Christopher Chapple ◽  
Lena Maislisch ◽  
Eva Roitmann ◽  
Teodor Burtea

Abstract Study Objectives We examined associations between self-reports about typical sleep patterns and sleep data derived from a wearable device worn on a nightly basis for a prolonged period (mean = 214 nights). We hypothesized that sleep characteristics would correlate better across different methods of assessment (self-report versus wearable) than they would correlate within the same method, a classic psychometric approach (multitrait, multimethod matrix). Methods A cross-national sample of 6,230 adult wearable users completed a brief sleep questionnaire collecting data on sleep duration and number of awakenings (NAW) and provided informed consent to link their responses to data from their wearable watches. The data collection for the wearable occurred over 12 months and the sleep questionnaire was completed subsequent to that. Results Results indicated a large (r = .615) correlation between sleep duration as assessed with the wearable and by self-report. A medium-to-large correlation (r = .406) was also seen for NAW. The multitrait, multimethod matrix suggested minimal method variance, i.e. similar “traits” (sleep duration and NAW) correlated across methods but within a given method, and such “traits” were generally unrelated. Conclusions The results suggest that the longer period of data collection with the wearable generates more stable estimates of sleep than have been reported in most studies of actigraphy. Alternatively, the data might imply that individuals modify their self-reports about sleep via daily feedback to align their perceptions to the output of the wearable.


2015 ◽  
Vol 8 (4) ◽  
pp. 539-544 ◽  
Author(s):  
Juliet R. Aiken ◽  
Paul J. Hanges

Big data is becoming a buzzword in today's corporate language and lay discussions. From individually targeting advertising based on previous consumer behavior or Internet searches to debates by Congress concerning National Security Agency (NSA) access to phone metadata, the era of big data has arrived. Thus, the Guzzo, Fink, King, Tonidandel, and Landis (2015) discussion of the challenges (e.g., confidentiality, informed consent) that big data projects present to industrial and organizational (I-O) psychologists is timely. If the hype associated with these techniques is warranted, then our field has a clear imperative to debate the ethics and best practices surrounding use of these techniques. We believe that Guzzo et al. have done our field a service by starting this discussion.


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