Self-report Data Collection Research Articles

Mobile Devices as Tools for Media and Communication Research: A Scoping Review on Collecting Self-report Data in Repeated Measurement Designs

ABSTRACT Mobile devices are deeply embedded in people’s everyday lives. On the one hand, this opens up a new field for media and communication research. On the other hand, the widespread diffusion allows for integrating mobile devices into our methodological toolkit. Researchers across the globe have creatively started to take advantage of these new opportunities in the past years. One area of development is building upon the tradition of repeated self-report measurements like “Experience Sampling Method”, “Ecological Momentary Assessment”, “Diary Method”, or “Real-Time Response Measurement”. In order to map the advances in this area, we conducted a scoping review based on English academic peer-reviewed articles. Findings suggest that terminology and methodological standards are still blurred, and standardization is needed in order to further the methodological discussion on mobile self-report data collection methods in repeated measurement designs. Based on the results of our scoping review, we propose a typology as well as reporting standards and discuss data analytical challenges.

Quantified Self-Using Consumer Wearable Device: Predicting Physical and Mental Health.

ObjectivesRecently, wearable device technology has gained more popularity in supporting a healthy lifestyle. Hence, researchers have begun to put significant efforts into studying the direct and indirect benefits of wearable devices for health and wellbeing. This paper summarizes recent studies on the use of consumer wearable devices to improve physical activity, mental health, and health consciousness.MethodsA thorough literature search was performed from several reputable databases, such as PubMed, Scopus, ScienceDirect, arXiv, and bioRxiv mainly using “wearable device research” as a keyword, no earlier than 2018. As a result, 25 of the most recent and relevant papers included in this review cover several topics, such as previous literature reviews (9 papers), wearable device accuracy (3 papers), self-reported data collection tools (3 papers), and wearable device intervention (10 papers).ResultsAll the chosen studies are discussed based on the wearable device used, complementary data, study design, and data processing method. All these previous studies indicate that wearable devices are used either to validate their benefits for general wellbeing or for more serious medical contexts, such as cardiovascular disorders and post-stroke treatment.ConclusionsDespite their huge potential for adoption in clinical settings, wearable device accuracy and validity remain the key challenge to be met. Some lessons learned and future projections, such as combining traditional study design with statistical and machine learning methods, are highlighted in this paper to provide a useful overview for other researchers carrying out similar research.

The Healthy Cooking Index: Nutrition Optimizing Home Food Preparation Practices across Multiple Data Collection Methods

BackgroundFood preparation interventions are an increasingly popular target for hands-on nutrition education for adults, children, and families, but assessment tools are lacking. Objective data on home cooking practices, and how they are interpreted through different data collection methods, are needed. ObjectiveThe goal of this study was to explore the utility of the Healthy Cooking Index in coding multiple types of home food preparation data and elucidating healthy cooking behavior patterns. DesignParent–child dyads were recruited between October 2017 and June 2018 in Houston and Austin, Texas for this observational study. Food preparation events were observed and video recorded. Participants also wore a body camera (eButton) and completed a questionnaire during the same event. Participants/settingParents with a school-aged child were recruited as dyads (n=40). Data collection procedures took place in participant homes during evening meal preparation events. Main outcome measuresFood preparation data were collected from parents through direct observation during preparation as well as eButton and paper questionnaires completed immediately after the event. Statistical analyses performedAll data sets were analyzed using the Healthy Cooking Index coding system and compared for concordance. A paired sample t test was used to examine significant differences between the scores. Cronbach’s α and principal components analysis were conducted on the observed Healthy Cooking Index items to examine patterns of cooking practices. ResultsTwo main components of cooking practices emerged from the principal components analysis: one focused on meat products and another on health and taste enhancing practices. The eButton was more accurate in collecting Healthy Cooking Index practices than the self-report questionnaire. Significant differences were found between participant reported and observed summative Healthy Cooking Index scores (P<0.001), with no significant differences between scores computed from eButton images and observations (P=0.187). ConclusionsThis is the first study to examine nutrition optimizing home cooking practices by observational, wearable camera and self-report data collection methods. By strengthening cooking behavior assessment tools, future research will be able to elucidate the transmission of cooking education through interventions and the relationships between cooking practices, disease prevention, and health.

Pathways to Employment

Background This project’s aims are twofold (1) to uncover and define the underlying theories of change guiding competing active labor market programs (ALMP) in Sweden, and (2) to assess the relative effectiveness of these competing programs in a theory-based non-randomized controlled trial. The purpose is to assess the extent to which competing ALMPs are effective in moving long-term unemployed individuals (i.e. unemployed for 6 months or more) closer to the labor-market. Methods/Design This project will engage ALMP program administrators and service providers in semi-structured interviews. The transcribed interview material will be used as a basis for program theory reconstruction. All specified program theories will be presented back to program stakeholders for validation. ALMP program effectiveness will be assessed quasi-experimentally with pre- (T1) and posttest (T2) collection of self-reported data. Additionally, official register data from the Longitudinal integrated database for health insurance and labor market studies (LISA) will be collected for all participants. In addition, a matched sample will be collected from LISA to be used as a non-treated control group on final policy outcomes (e.g., employment, salary/wage). This study also assesses program implementation and economic outcomes of the included ALMPs. Discussion Long-term unemployment has profound impact of the health and wellbeing of individuals, families, and communities. In addition, the effects of long-term unemployment have been found to impact subgroups differently. Today we have scant knowledge on the mechanisms that are influential in moving individuals from long-term unemployment closer to the labor market. This study is designed to answer six research questions using a variety of methods (mixed-methods) and outcome measures (self-report, official register). In addition, this study leverages official register data to construct an untreated control group. This study will assess the extent to which an emerging theory of becoming job ready holds under experimental scrutiny.

Measurement and the Study of Motivation and Strategy Use: Determining If and When Self-report Measures are Appropriate

The goal of this special issue is to examine the use of self-report measures in the study of motivation and strategy use. This commentary reviews the articles contained in this special issue to address the primary objective of determining if and when self-report measures contribute to understanding these major constructs involved in self-regulated learning. Guided by three central questions, this review highlights some of the major, emergent themes regarding the use of self-report. The issues addressed include attention to evidence for construct validity, the need to consider broad methodological factors in the collection and interpretation of self-report data, and the innovations made possible by modern tools for administering and analyzing self-report measures. Conclusions forward a set of conditions for the use of self-report measures, which center on the role of theoretically-driven choices in both the selection of self-report measures and analysis of the data these measures generate.

A prospective study of health problems at the 2018 17/U and 19/U Australian National Netball Championships with comparison of surveillance methodology

ObjectiveTo investigate the incidence, site, nature and cause of injuries sustained during and four weeks following the 2018 Australian National Netball Championships (ANNC’s) using medical attention and self-report surveillance tools. DesignProspective cohort study. MethodInjuries were recorded prospectively using medical attention and self-report data collection methods. One hundred and ninety-two athletes competed at the 2018 ANNC’s with 96 athletes in each age group (17/U & 19/U). ResultsThere were 103 medical attention injuries sustained by 80 athletes resulting in an incidence rate of 89.4 per 1000 player hours. The most frequently recorded medical attention injury diagnoses across both age groups were lateral ankle ligament sprain (n=14, 13.6%), foot blisters (n=11, 10.7%), and lumbar pain (n=10, 9.7%). Ankle sprains (n=4), anterior cruciate ligament (ACL) ruptures (n=3) and concussion (n=3) recorded as the highest sports incapacity injuries. The self-report data collection revealed that 46 (27.2%) athletes arrived at the tournament with an existing self-reported injury/illness and 57 (39.3%) athletes had a self-reported injury/illness at the conclusion of the ANNC (RR 1.44 95%CI 1.05–1.99, p=0.030). ConclusionThere are no recent studies reporting injury rates specifically in pre-elite netball players. This study found an incidence rate of 89.4 per 1000 player hours. Ankle sprains are the highest medical attention and sports-incapacity injury in pre-elite netball athletes. Foot blisters and low back pain also feature in the highest medical attention injuries and ACL rupture and concussion were high sports incapacity injuries at the ANNC’s. Finally, combining both the medical attention and self-report injury/illness data collection methods identified more injuries/illnesses than the use of one method alone.

Virtual Reality interventions for acute and chronic pain management.

Virtual Reality (VR) is now consumer ready and nearing ubiquity. In terms of clinical applications, several studies suggest that VR can be effective as a complementary adjunct or alternative non-pharmacologic analgesic in a range of pain-inducing procedures and in management of chronic pain. The increasing affordability and quality of portable VR headsets and the ongoing utility of pain therapy signals an exciting future for the use of VR for analgesia. However, further research is needed to establish its long-term benefits if VR is to be adopted into mainstream protocols for analgesia management. This research requires a range of study designs with collection of patient self-report and clinical data together to develop bespoke interventions for different cohorts.

Barriers that inhibit reporting suspected cases of child abuse and neglect among nurses in a public hospital, Jeddah, Saudi Arabia.

Child maltreatment is considered a global problem that has serious consequences for a victim's physical and mental well-being. Nurses interact with children and their families at different levels of health care. All nurses must be able to identify children who are at risk of harm or abuse, and act accordingly. The purpose of the study was to investigate barriers that inhibit reporting suspected cases of child abuse and neglect by nurses at King Abdulaziz Medical City, Jeddah, Saudi Arabia. The study was conducted at King Abdulaziz Medical City, Jeddah, Saudi Arabia. One hundred and forty-five nurses from all paediatric settings participated in the study using non-probability "convenience" sampling technique and a descriptive design was used. A structured self-report data collection method was applied to elicit data about the participants' knowledge and circumstances that prevent them from reporting child abuse. It was found that only one fifth (20.7%) of nurses had attended either a lecture or workshop on child abuse and neglect (CAN). Two fifths (40.7%) of participants had a knowledge score on CAN more than 75% while one third (33.1%) had a knowledge score ranging from 50% to 75% with a median score of knowledge of 63.10 ± 25.48. Furthermore, more than half (51%) of participants were aware of the Suspected Child Abuse and Neglect (SCAN) team in the hospital. When participants were asked about the circumstances when they would not report suspected CAN cases, "I was not certain that the child was abused" was reported by 78.6%. Other barriers that inhibit reporting of child abuse and neglect are ignorance about how to report, in addition to having previous negative experiences after reporting. The findings of the current study indicated that there exist barriers for not reporting suspected cases of child abuse and that availability of training and educational programmes are needed. Establishment of a clear and structured child protection policy to enable nurses to report abuse victims is recommended.

Improving Public Health Surveillance methods via Smart Home technologies

Improving Public Health Surveillance methods via Smart Home technologies

The influence of maternal and infant nutrition on cardiometabolic traits: novel findings and future research directions from four Canadian birth cohort studies.

A mother's nutritional choices while pregnant may have a great influence on her baby's development in the womb and during infancy. There is evidence that what a mother eats during pregnancy interacts with her genes to affect her child's susceptibility to poor health outcomes including childhood obesity, pre-diabetes, allergy and asthma. Furthermore, after what an infant eats can change his or her intestinal bacteria, which can further influence the development of these poor outcomes. In the present paper, we review the importance of birth cohorts, the formation and early findings from a multi-ethnic birth cohort alliance in Canada and summarise our future research directions for this birth cohort alliance. We summarise a method for harmonising collection and analysis of self-reported dietary data across multiple cohorts and provide examples of how this birth cohort alliance has contributed to our understanding of gestational diabetes risk; ethnic and diet-influences differences in the healthy infant microbiome; and the interplay between diet, ethnicity and birth weight. Ongoing work in this birth cohort alliance will focus on the use of metabolomic profiling to measure dietary intake, discovery of unique diet-gene and diet-epigenome interactions, and qualitative interviews with families of children at risk of metabolic syndrome. Our findings to-date and future areas of research will advance the evidence base that informs dietary guidelines in pregnancy, infancy and childhood, and will be relevant to diverse and high-risk populations of Canada and other high-income countries.

Testing the Effectiveness of Objective and Subjective Predictors of Driving Behavior under Fatigue

There is growing evidence that driver fatigue is a major road safety problem, causing crashes that frequently involve fatalities and severe injuries. Professional drivers are among the road users indicated by literature to be at high risk of involvement in a fatigue-related crash. The goal of this paper is to investigate the effectiveness of objective and subjective data collection and analysis in predicting driving behavior under fatigue. Toward this goal, the impact of a fatigue-training program addressing professional drivers was assessed through a naturalistic study on data collected by trip recorders (Geographical Positioning System devices). Analysis of these data was supplemented with the collection of self-reported data obtained through a questionnaire survey to investigate potential threats, deficiencies, and bias of the approaches. Findings revealed that there is some correlation between the two approaches measuring driving behavior under fatigue. Focusing on self-reported data, it was indicated that the training program affected positively the direction of change in the behavior of the professional drivers, addressed by an increase in the proportion of drivers who stop and rest when tired. The naturalistic approach and the testing of potential differences before and after the training program with reference to speed and average stop time showed that the training program encouraged drivers to reduce their speed and increase the time that they stop and rest.

Factors affecting Palestinian customers’ use of online banking services

PurposeThe purpose of this paper is to examine factors that affect Palestinian customers’ use of online banking services.Design/methodology/approachAn empirical study was conducted using a questionnaire in order to test the hypotheses. The questionnaire was distributed to 500 respondents selected by the participating banks. A total of 369 complete questionnaires were returned. The study’s independent variables include technology adoption propensity, customers’ value for online personalization, customers’ privacy concern, e-trust, technological leadership and loyalty. Palestinian customers’ usage of online banking services is the dependent variable.FindingsThe results of the model tested clearly suggest that the use of online banking services is influenced, respectively, by the technological leadership, e-trust, e-loyalty, customers’ value for online personalization, customers’ concern for privacy and propensity of technology adoption. Finally, this paper suggests that policy makers should develop a prioritized hierarchy of actions in developing the effective use of bank’s online services, based on thet- andp-values of the latter mentioned factors.Research limitations/implicationsOne limitation of the study is relying on self-reported cross-sectional data collection, rather than longitudinal surveying. Despite such limitation, the study provides the Palestinian banking sector with recommendations to promote online banking services based on the empirically identified factors affecting such service adoption.Practical implicationsPalestinian banks should promote the adoption of online banking services by supporting personalization of services, privacy and trust. Customers should always be informed that their bank is among the first banks to introduce the latest state-of-the-art online services. Technology innovative and diverse online services should be offered by banks to attract customers.Originality/valueAlthough numerous research studies have studied the factors affecting customers in using electronic and online banking services, few studies have considered such usage in the developing countries, such as Arab countries in general and Palestine in particular. This is the first study to examine the factors affecting the adoption of online banking services in Palestine. This study provides empirical evidence to fill in the gap by providing a deeper understanding of the factors affecting the usage of online banking services in the country. The findings of this study can help decision makers in the Palestinian banks to develop practical plans that might accelerate and expand the adoption of online banking emphasizing personalized and trusted services offered with high level of security and privacy.

Is SMS APPropriate?

Abstract. The ubiquity of mobile telephones worldwide offers a unique opportunity for bidirectional communication between researchers and participants. There are two ways mobile phones could be used to collect self-report data: via Short Message Service (SMS) or app (mobile telephone software applications). This study examined the comparative data quality offered by SMS and app, when mobile phone type, self-report instrument, and sampling schedule are controlled. One hundred ten undergraduate students used their own iPhones to complete the same repeated measures instrument on 20 occasions, responding either by SMS or by app. There were no differences between SMS and app respondents in terms of response rates or response delay. However, data from those responding via SMS was significantly less complete than from app respondents. App respondents rated their respondent experience as more convenient than SMS respondents. Though findings are only generalizable to an undergraduate sample, this suggests that researchers should consider using apps rather than SMS for repeated measures self-report data collection.

Comparison of Perceived and Observed Hand Hygiene Compliance in Healthcare Workers in MERS-CoV Endemic Regions.

This study investigated healthcare workers’ perceptions of hand hygiene practices by comparing personal reports, as assessed by questionnaires, to direct observations of the workers’ hand hygiene practices. The study employed a cross-sectional research design. Observations were made using a 16-item checklist, based on three sources: Centers for Disease Control and Prevention (CDC), World Health Organization (WHO), and Boyce and Pittet’s guidelines of hand hygiene. The checklist was used for both direct-observation and self-reported data collection purposes. Pearson correlation and Multivariate Analysis of Covariance (MANCOVA) were utilized to statistically determine the relationship between healthcare workers’ reports of hand hygiene practices and observed hand hygiene behaviors. The study was conducted in the outpatient examination rooms and emergency departments of three types of hospitals in the Eastern region of Saudi Arabia where Middle East respiratory syndrome coronavirus (MERS-CoV) is endemic and is observed in routine cases and outbreaks. The total sample size included 87 physicians and nurses recruited while on duty during the scheduled observation periods, with each healthcare worker being observed during individual medical examinations with at least three patients. No statistically significant correlations between the healthcare workers’ perceptions of hand hygiene practices and healthcare workers’ actual behaviors were evident. Based on the self-report questionnaires, significant differences were found between physicians’ and nurses’ hand hygiene practices reports. Healthcare workers clearly understand the importance of careful hand hygiene practices, but based on researchers’ observations, the medical personnel failed to properly implement protocol-driven hand hygiene applications. However, the significant differences between physicians’ and nurses’ self-reports suggest further inquiry is needed to fully explore these discrepancies.

A new scale to measure cross-organizational cultural intelligence

PurposeCross-organizational cultural intelligence (COCI) is conceptualized as an ability of individuals to interact effectively with persons from different organizational cultures. To deal with culture differences in cross-organizational context, organizations need to select employees with high COCI. This study aims to develop an instrument to measure employees’ COCI in a cross-organizational context.Design/methodology/approachThe present study was conducted in three steps to develop a scale to measure COCI. First, 39 statements were identified based on a series of interviews. Then, via a survey of 275 part-time MBA students, 18 statements were categorized into four dimensions, namely, cognition, motivation, collaborative communication and behavioral adaptability. Finally, convergent, discriminant, predictive and incremental validity of the scale were tested.FindingsThis study extends the cultural intelligence to the cross-organizational context. The COCI concept provides theoretical support for cultural intelligence research in the cross-organizational context. Therefore, the present study broadens the research field of cultural intelligence. A four-dimensional scale was developed to measure COCI, which includes cognition, motivation, collaborative communication and behavioral adaptability. High COCI can enhance employee’s performance in a cross-organizational context.Research limitations/implicationsThis study still has several limitations. First, the self-report questionnaire indicated that the relationship between COCI and other constructs may be stronger because of single-source, self-reported data collection. Second, the new scale was developed in China. Although some respondents came from foreign companies, most surveyed employees belonged to Chinese enterprises. Based on the current results, COCI scale exhibits promise as a measurable criterion, but it requires more refinement and validation. Additional work in this area can explore factors that can influence or improve individual COCI. A theoretical network of COCI that includes predictors, consequences, mediators and moderators by theoretical research can be established.Practical implicationsThe COCI scale can be used in organizational management. Also, the COCI scale can help organizations understand the meanings of the employees’ COCI and select employees with high COCI during the recruitment. It makes managers easier to choose qualified candidates for inter-organizational projects. Beyond that, organizations can develop employees’ COCI according to the proposed four dimensions.Originality/valueThe development of the valid COCI scale will facilitate future research on boundary spanning. The COCI scale can measure individual cultural intelligence in a cross-organizational context. The present study has verified that COCI is different from emotional intelligence and provided a new perspective to explore the importance of individual ability in boundary-spanning activities. The instrumental support can help researchers effectively understand COCI and explore its potentials in boundary-spanning activities.

Data Quality of Travel Behavior Studies: Factors Influencing the Reporting Rate of Self-Reported and GPS-Recorded Trips in Persons with Disabilities

In persons with disabilities, the accuracy of self-report data collection methods in travel behavior studies may be influenced by disease-related dysfunctions. The present study determines in detail whether disease-related physical, cognitive or psychosocial impairments contribute to the reporting rate of subjective self-report travel diaries and objective GPS tracking devices, besides socio-demographic and trip-related characteristics. The reporting rate of both data collection methods was analyzed in 108 persons with Multiple Sclerosis with various disability severities during a seven-day data collection period. The results demonstrated that there was only limited influence of disease-related dysfunctions on the reporting rate of both data collection methods, as well as only limited significant differences between subgroups with various disability severity. Overall, the data quality of the diary was higher than the quality of the GPS data: 66% of the trips were reported in both data collection methods, while overall more than one fifth of all trips were forgotten and not registered by GPS, and 11% were forgotten and not reported in the diary. Self-report travel diaries seemed to be more suitable for persons with a higher disability severity, as these persons more often forgot to take their GPS device with them when making a trip because of several organizational issues related to their mobility limitations.

Menopause and illness course in bipolar disorder: A systematic review.

Menopause may be a time of increased mood symptoms for some women. This systematic review aimed to examine the severity of symptoms and prevalence of mood changes in women with bipolar disorder during peri-menopause and post-menopause. A systematic review was undertaken in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The two primary outcomes assessed were relapse rates and symptom severity during menopause. Databases searched were MEDLINE, EMBASE, PsychInfo, CINAHL and SCOPUS from January 1980 until December 2016. Nine studies, including a total of 273 participants diagnosed with bipolar disorder and who reported menopause, were included in the narrative synthesis. Menopause was reported to be associated with increased symptoms overall, and with depression in particular (range of 46%-91%). The collection of self-reported retrospective data was the most commonly used method to record menopause status. The impact of menopause on illness course for women with bipolar disorder is largely under-explored. Preliminary evidence suggests that it may be associated with increased bipolar symptoms. Further work is needed to explore how menopause may interact with bipolar disorder over time and the nature of these symptom changes, and if and how menopause may differ from other reproductive stages.

Filling the gaps in SARDs research: collection and linkage of administrative health data and self-reported survey data for a general population-based cohort of individuals with and without diagnoses of systemic autoimmune rheumatic disease (SARDs) from British Columbia, Canada

PurposeSystemic autoimmune rheumatic diseases (SARDs) are a group of debilitating autoimmune diseases, including systemic lupus erythematosus and related disorders. Assessing the healthcare and economic burden of SARDs has been challenging:...

The Influence of Tablet-Based Technology on the Development of Communication and Critical Thinking Skills: An Interdisciplinary Study

The purpose of this interdisciplinary study was to explore the impacts of tablet technology in a college classroom on students' perceptions of their own learning. Students were asked about oral, written, and graphical communication and critical thinking skills. Mid-semester and end-of-semester surveys were administered to tablet-enabled classes for collection of self-report data. Additionally, objective performance data were gathered from sections of the same courses taught using traditional methods and compared with learning outcomes of those taught using tablets. Students reported that using tablet technology was beneficial for all three types of communication skills. Findings also indicated that tablet usage contributed to a positive effect on dimensions of critical thinking. Implications for these findings are discussed.

Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight.

ObjectiveTo compare alternative models for the imputation of BMIM (measured weight in kilograms/measured height in meters squared) in a longitudinal study.MethodsWe used data from 11,008 adults examined at wave III (2001–2002) and wave IV (2007–2008) in the National Longitudinal Study of Adolescent to Adult Health. Participants were asked their height and weight before being measured. Equations to predict wave IV BMIM were developed in an 80% random subsample and evaluated in the remaining participants. The validity of models that included BMI constructed from previously measured height and weight (BMIPM) was compared to the validity of models that used BMI calculated from concurrently self-reported height and weight (BMISR). The usefulness of including demographics and perceived weight category in those models was also examined.ResultsThe model that used BMISR, compared to BMIPM, as the only variable produced a larger R2 (0.913 vs. 0.693), a smaller root mean square error (2.07 vs. 3.90 kg/m2) and a lower bias between normal-weight participants and those with obesity (0.98 vs. 4.24 kg/m2). The performance of the model containing BMISR alone was not substantially improved by the addition of demographics, perceived weight category or BMIPM.ConclusionsOur work is the first to show that concurrent self-reports of height and weight may be more useful than previously measured height and weight for imputation of missing BMIM when the time interval between measures is relatively long. Other time frames and alternatives to in-person collection of self-reported data need to be examined.