A Comparison of Methods for Collecting Self-Report Data on Sensitive Topics

2006 ◽  
Vol 21 (4) ◽  
pp. 461-471 ◽  
Author(s):  
Alan Rosenbaum ◽  
Mandy M. Rabenhorst ◽  
Madhavi K. Reddy ◽  
Matthew T. Fleming ◽  
Nicolette L. Howells
Keyword(s):  
Data Collection ◽  
Undergraduate Students ◽  
Sensitivity Study ◽  
Self Report ◽  
Student Sample ◽  
College Student Sample ◽  
Sensitive Topics ◽  
Willingness To Disclose ◽  
Report Data ◽  
Self Report Data

Insufficient attention has been paid to whether disclosure rates of sensitive or stigmatizing information vary as a function of method of inquiry. Methods vary both in terms of the anonymity afforded the participant and the opportunity to make a connection with the researcher, both of which might affect participants’ willingness to disclose such information. In this investigation, 215 undergraduate students were randomly assigned to complete identical questionnaires using one of the three most common methods of data collection (in-person interview, telephone interview, and paper-and-pencil questionnaire) or an automated telephonic data collection (ATDC) system. Questions on six topic areas of increasing social sensitivity (study habits, substance use, physical and sexual aggression, victimization and perpetration) were included. The results indicated that there were no differences in disclosure rates due to methods and no method by topic interaction, but the two telephonic methods both produced significantly higher participation rates than the two other methods. The results suggest that, at least for a college student sample, an automated telephonic system produces data comparable to that of more traditional methods, while offering greater convenience, economy, and participation.

Does Dispositional Mindfulness Predict the Development of Grit?

2018 ◽  
Vol 39 (2) ◽  
pp. 76-87 ◽  
Author(s):  
Buaphrao Raphiphatthana ◽  
Paul Jose ◽  
Karen Salmon
Keyword(s):  
Undergraduate Students ◽  
Online Survey ◽  
Cross Sectional Study ◽  
Self Report ◽  
Dispositional Mindfulness ◽  
Cross Sectional ◽  
Report Data ◽  
Self Report Data ◽  
Acting With Awareness ◽  
Mindfulness Facets

Abstract. Grit, that is, perseverance and passion for long-term goals, is a novel construct that has gained attention in recent years ( Duckworth, Peterson, Matthews, & Kelly, 2007 ). To date, little research has been performed with the goal of identifying the antecedents of grit. Thus, in order to fill this gap in the literature, self-report data were collected to examine whether mindfulness, a mindset of being-in-the-present in a nonjudgmental way, plays a role in fostering grittiness. Three hundred and forty-three undergraduate students completed an online survey once in a cross-sectional study, and of these, 74 students completed the survey again 4.5 months later. Although the cross-sectional analyses identified a number of positive associations between mindfulness and grit, the longitudinal analysis revealed that the mindfulness facets of acting with awareness and non-judging were the most important positive predictors of grit 4.5 months later. This set of findings offers implications for future grit interventions.

Interview versus Self-Answer Methods of Assessing Health and Emotional Functioning in Primary Care Patients

2003 ◽  
Vol 92 (3) ◽  
pp. 937-948
Author(s):  
Nancy Amodei ◽  
David A. Katerndahl ◽  
Anne C. Larme ◽  
Raymond Palmer
Keyword(s):  
Primary Care ◽  
Data Collection ◽  
Emotional Functioning ◽  
The Self ◽  
Self Report ◽  
Screening Criteria ◽  
Practical Standpoint ◽  
Primary Care Patients ◽  
Report Data ◽  
Self Report Data

The present study examined differences in health and emotional functioning when two different methods of gathering self-report data were used. Of 80 primary care patients who did not meet screening criteria for a psychiatric diagnosis, 44 were randomly assigned to have an interviewer read assessment items and record the participants' responses, and 36 were randomly assigned to have an interviewer read the items and have participants record their own responses directly on the test forms. There were negligible significant differences between the groups in reported symptomatology. From a practical standpoint, this suggests that the self-answer method is a more economical and efficient method of data collection since the data from more than one participant can be gathered at the same time. The findings also suggest that the measures in this study which were originally intended to be completed in a paper-and-pencil format can be used in a more traditional interviewer-administered format.

Criminal Victimization Experienced While Studying Abroad: An Examination of Rates and Other Relevant Factors

2019 ◽  
Vol 24 (5) ◽  
pp. 573-588
Author(s):  
Tracy L. Tamborra ◽  
Amy Nicole Baker ◽  
Sara Jeffries ◽  
Melissa Tempio ◽  
Emelia Campbell
Keyword(s):  
College Students ◽  
Sexual Harassment ◽  
Undergraduate Students ◽  
Self Report ◽  
Criminal Victimization ◽  
Studying Abroad ◽  
Report Data ◽  
Self Report Data ◽  
Relevant Factors ◽  
Victimization Rates

There are growing rates of U.S. college students studying abroad and existing literature reveals that college students experience moderate to high rates of certain types of crime; however, little is known about the victimization rates of college students while studying abroad. This is the first study known to use anonymous self-report data that examines the rates of various forms of victimization experienced while studying abroad. Findings from a sample of more than 1,000 undergraduate students studying on six continents revealed that victimization rates are low, with the exception of sexual harassment, unwanted touching, and theft. In addition, findings suggest that self-reported victimization rates vary depending upon the severity of the crime, respondents’ sex, and continent of study. These findings suggest the need for further research and additional programming; suggestions are put forth.

Psychometric Properties of the HEXACO-100

Assessment ◽  
2016 ◽  
Vol 25 (5) ◽  
pp. 543-556 ◽  
Author(s):  
Kibeom Lee ◽  
Michael C. Ashton
Keyword(s):  
Psychometric Properties ◽  
Undergraduate Students ◽  
English Language ◽  
The Self ◽  
Self Report ◽  
Self Reports ◽  
The Hierarchical Structure ◽  
Report Data ◽  
Absolute Correlation ◽  
Self Report Data

Psychometric properties of the 100-item English-language HEXACO Personality Inventory–Revised (HEXACO-PI-R) were examined using samples of online respondents ( N = 100,318 self-reports) and of undergraduate students ( N = 2,868 self- and observer reports). The results were as follows: First, the hierarchical structure of the HEXACO-100 was clearly supported in two principal components analyses: each of the six factors was defined by its constituent facets and each of the 25 facets was defined by its constituent items. Second, the HEXACO-100 factor scales showed fairly low intercorrelations, with only one pair of scales (Honesty–Humility and Agreeableness) having an absolute correlation above .20 in self-report data. Third, the factor and facet scales showed strong self/observer convergent correlations, which far exceeded the self/observer discriminant correlations.

scholarly journals Is SMS APPropriate?

2019 ◽  
Vol 35 (1) ◽  
pp. 63-69
Author(s):  
Erin I. Walsh ◽  
Jay K. Brinker
Keyword(s):  
Undergraduate Students ◽  
Repeated Measures ◽  
Mobile Telephone ◽  
Self Report ◽  
Short Message ◽  
Software Applications ◽  
Mobile Telephones ◽  
Message Service ◽  
Report Data ◽  
Self Report Data

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.

Intensive Longitudinal Data Collection using Microinteraction Ecological Momentary Assessment (μEMA): Pilot and Preliminary Results (Preprint)

2021 ◽  
Author(s):  
Aditya Ponnada ◽  
Shirlene Wang ◽  
Daniel Chu ◽  
Bridgette Do ◽  
Genevieve Dunton ◽  
...  
Keyword(s):  
Data Collection ◽  
Ecological Momentary Assessment ◽  
Self Report ◽  
Time Study ◽  
Longitudinal Data Collection ◽  
Report Data ◽  
Self Report Data ◽  
Ecological Momentary ◽  
Study Participants ◽  
Momentary Assessment

BACKGROUND Ecological momentary assessment (EMA) uses mobile technology to enable in-situ self-report data collection on behaviors and states. In a typical EMA study, participants are prompted several times a day to answer sets of multiple-choice questions. While the repeated nature of EMA reduces recall bias, it may induce participation burden. There is a need to explore complementary approaches to collecting in-situ self-report data that are less burdensome, yet provide comprehensive information on an individual’s behaviors and states. One new approach, microinteraction ecological momentary assessment (μEMA), restricts EMA items to single, cognitively simple questions answered on a smartwatch with single-tap answers; i.e., EMA is limited to only those answerable with a quick, glanceable microinteraction. However, the viability of using μEMA to capture behaviors and states in a large-scale intensive longitudinal data collection (ILD) study has not yet been demonstrated. OBJECTIVE This paper describes 1) the μEMA protocol currently used in the Temporal Influences on Movement and Exercise (TIME) Study conducted with young adults, 2) the interface of the μEMA app to gather self-report responses on a smartwatch, 3) qualitative feedback from participants following a pilot study of the μEMA app, 4) changes made to the main TIME study μEMA protocol and app based on the pilot feedback, and 5) preliminary μEMA results from a subset of active participants in the TIME Study. METHODS The TIME Study involves data collection on behaviors and states using passive sensors on smartwatches and smartphones along with intensive phone-based EMA, four-day hourly EMA bursts every two weeks among 250 people. Every day, participants also answer a nightly EMA survey. On non-EMA burst days, participants answer μEMA questions on the smartwatch assessing momentary states such as physical activity, sedentary behavior, and affect. At the end of the study, participants take part in a semi-structured interview to describe their experience with EMA and μEMA. A pilot study was used to test and refine the μEMA protocol for the main study. RESULTS Changes made to the μEMA study protocol based on pilot feedback included adjustments to the single-question selection method and watch vibrotactile prompting. We also added sensor-triggered questions for physical activity and sedentary behavior. As of June 2021, 81 participants completed at least six months of data collection in the main study. For 662,397 μEMA questions delivered, the compliance rate was 67.61% (SD = 24.36) and completion rate was 79.03% (SD = 22.19). CONCLUSIONS This study provides opportunities to explore a novel approach for collecting temporally dense intensive longitudinal self-report data in a sustainable manner. Data suggest that μEMA may be valuable for understanding behaviors and states at the individual level, thus possibly supporting future longitudinal interventions that require within-day, temporally dense self-report in the real world. CLINICALTRIAL Not applicable

Data Collection

2015 ◽  
Author(s):  
Lisa Drago Piechowski
Keyword(s):  
Data Collection ◽  
Cognitive Functioning ◽  
Disability Evaluation ◽  
Neuropsychological Testing ◽  
Response Style ◽  
Self Report ◽  
Treatment Providers ◽  
Report Data ◽  
Self Report Data ◽  
Independent Medical Examination

This chapter focuses on data collection as part of the evaluation of disability, with emphasis on the specific methodology for obtaining data from various sources such as written records and documents, self-report data from the claimant, psychological testing and neuropsychological testing, and information from collaterals such as interviews and treatment providers including psychiatrists, psychologists, and psychotherapists. It also describes instruments commonly used in assessing psychopathology and cognitive functioning during disability evaluation. Finally, it considers formal assessment of the claimant's response style as an integral part of the independent medical examination.

scholarly journals Measuring the Spiritual and Behavioral Dimensions of Religiosity in a Muslim Sample

2016 ◽  
Vol 12 (2) ◽  
pp. 158 ◽  
Author(s):  
Jamal Al-Menayes
Keyword(s):  
Undergraduate Students ◽  
Two Dimensions ◽  
Self Report ◽  
State University ◽  
Bias Effect ◽  
Complex Survey ◽  
Future Studies ◽  
Survey Techniques ◽  
Report Data ◽  
Self Report Data

<p>This study examines the dimensions of religiosity based on a sample of undergraduate students in a large state university in Kuwait. It aims to develop and test a multi-dimensional scale to measure religiosity in a Muslim sample. More specifically, the current research tests the properties of a newly developed religiosity scale designed for a Muslim sample consisting of two sub-scales, a spiritual and a behavioral one. The self-report data support the two dimensions of religiosity but, while the two dimensions are related, their statistical distributions were different indicating a possible “desirability bias” effect. Future studies should guard against this possibility by using complex survey techniques such as randomized responses and unmatched count. </p>

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

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