TY - JOUR
T1 - Real-time monitoring technology in single-case experimental design research
T2 - Opportunities and challenges
AU - Bentley, Kate H.
AU - Kleiman, Evan M.
AU - Elliott, Grace
AU - Huffman, Jeffery C.
AU - Nock, Matthew K.
N1 - Funding Information:
This work was supported by the Stuart T. Hauser Research Training Program in Biological and Social Psychiatry ( T32MH016259 ) ( KHB ) and the Chet and Will Griswold Suicide Prevention Fund (MKN) .
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/6
Y1 - 2019/6
N2 - Single-case experimental design (SCED) is a rigorous method of studying behavior and behavior change. A key characteristic of SCED is repeated, systematic assessment of outcome variables, which is critical to achieving high internal validity, collecting a sufficient number of observations to conduct adequately powered statistical analyses, capturing dynamic and fine-grained changes in outcomes, and tailoring interventions at the individual level. Recent advances in real-time monitoring technology, such as digital ecological momentary assessment, passive smartphone-based behavioral tracking, and physiological assessment with wearable biosensors, are extremely well-suited to conducting these repeated, systematic measurements. Here, we discuss the rationale for incorporating real-time data collection technologies within SCED and highlight how recent studies have paired SCED with real-time monitoring. We also present original data illustrating how real-time digital monitoring can provide an idiographic and granular view of behavior (in this case, suicidal ideation). Last, we discuss the challenges of, and offer our recommendations for, using real-time monitoring technologies in SCED research.
AB - Single-case experimental design (SCED) is a rigorous method of studying behavior and behavior change. A key characteristic of SCED is repeated, systematic assessment of outcome variables, which is critical to achieving high internal validity, collecting a sufficient number of observations to conduct adequately powered statistical analyses, capturing dynamic and fine-grained changes in outcomes, and tailoring interventions at the individual level. Recent advances in real-time monitoring technology, such as digital ecological momentary assessment, passive smartphone-based behavioral tracking, and physiological assessment with wearable biosensors, are extremely well-suited to conducting these repeated, systematic measurements. Here, we discuss the rationale for incorporating real-time data collection technologies within SCED and highlight how recent studies have paired SCED with real-time monitoring. We also present original data illustrating how real-time digital monitoring can provide an idiographic and granular view of behavior (in this case, suicidal ideation). Last, we discuss the challenges of, and offer our recommendations for, using real-time monitoring technologies in SCED research.
KW - Ecological momentary assessment
KW - Passive sensing
KW - Real-time monitoring
KW - Single-case experimental design
KW - Technology
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U2 - 10.1016/j.brat.2018.11.017
DO - 10.1016/j.brat.2018.11.017
M3 - Article
C2 - 30579623
AN - SCOPUS:85058672450
SN - 0005-7967
VL - 117
SP - 87
EP - 96
JO - Behavioral Assessment
JF - Behavioral Assessment
ER -