Consistent Visual Analyses of Intrasubject Data

Kahng, Sung Woo; Chung, Kyongmee; Gutshall, Katharine A.; Pitts, Steven C.; Kao, Joyce Y.; Girolami, Kelli M.

doi:10.1901/jaba.2010.43-35

Cited by 94 publications

(115 citation statements)

References 12 publications

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“…This latter method adds a mean line to the trend line and moves both lines in the conservative (desired by the professional) direction by a quarter of a standard deviation before carrying out the statistical test. Given that the majority of studies indicate insufficient interrater agreement (e.g., Danov & Symons, 2008;Ottenbacher, 1990; except when using well-trained analysts making dichotomous decisions on experimental control; Kahng et al, 2010), it is important that training in structured criteria has been shown to increase the confidence in the decisions (Hagopian et al, 1997;Skiba, Deno, 6 Marston, & Casey, 1989) and to decrease Type I and Type II error rates (Colón, 2006;Fisher et al, 2003).…”

mentioning

confidence: 99%

A comparison of mean phase difference and generalized least squares for analyzing single-case data

Manolov

Solanas

2013

Journal of School Psychology

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The present study focuses on single-case data analysis and specifically on two procedures for quantifying differences between baseline and treatment measurementsThe first technique tested is based on generalized least squares regression analysis and is compared to a proposed non-regression technique, which allows obtaining similar information. The comparison is carried out in the context of generated data representing a variety of patterns (i.e., independent measurements, different serial dependence underlying processes, constant or phase-specific autocorrelation and data variability, different types of trend, and slope and level change). The results suggest that the two techniques perform adequately for a wide range of conditions and researchers can use both of them with certain guarantees. The regression-based procedure offers more efficient estimates, whereas the proposed non-regression procedure is more sensitive to intervention effects. Considering current and previous findings, some tentative recommendations are offered to applied researchers in order to help choosing among the plurality of single-case data analysis techniques.

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mentioning

confidence: 99%

A comparison of mean phase difference and generalized least squares for analyzing single-case data

Manolov

Solanas

2013

Journal of School Psychology

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“…Visual inspection is the prevailing form of data analysis for single-case research (Kahng et al, 2010). Moreover, considering the generally stable baseline and the clear change found in follow-up for one participant, it is believed that visual inspection is a reliable tool for data analysis in this current study.…”

Section: Methodsmentioning

confidence: 99%

Using ultrasound visual feedback to remediate velar fronting in preschool children: A pilot study

Heng

McCabe

Clark

et al. 2016

Clinical Linguistics & Phonetics

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Anecdotally, velar fronting can be difficult to remediate in some children. This pilot study examined the use of ultrasound visual feedback in remediating velar fronting in typically developing children. A single-case, multiple-baseline across-subjects experimental design was used to examine acquisition, retention and generalization of velar treatment targets. Two otherwise typically-developing children (P1, aged 4;0; P3, aged 4;11) completed the study. The productions of /k/ and /g/ at syllable-level were targeted during treatment. P1 improved her productions of /k/ and /g/ at syllable-level during the treatment period and achieved correct production at word-level during follow-up. P3 made no improvements in his productions of velar targets. This study suggests that ultrasound visual feedback may be an option for remediating velar fronting in some preschoolers. Further study is required.

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“…To address our specific use case, we used a variation of Alternating Treatment Design (ATD) that applies A and B phases completely at random [15,27]. Random assignment of treatment phases helps to overcome common criticisms regarding the internal validity of SCDs [24,32,37,45,51,59,66] and allows the use of a statistical method for SCDs called randomization tests [15,27]. Our prior work summarizes the design rationale behind the SCD framework in more depth [34].…”

Section: Background and Related Workmentioning

confidence: 99%

TummyTrials

Karkar

Schroeder

Epstein

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

104

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Diagnostic self-tracking, the recording of personal information to diagnose or manage a health condition, is a common practice, especially for people with chronic conditions. Unfortunately, many who attempt diagnostic self-tracking have trouble accomplishing their goals. People often lack knowledge and skills needed to design and conduct scientifically rigorous experiments, and current tools provide little support. To address these shortcomings and explore opportunities for diagnostic self-tracking, we designed, developed, and evaluated a mobile app that applies a self-experimentation framework to support patients suffering from irritable bowel syndrome (IBS) in identifying their personal food triggers. TummyTrials aids a person in designing, executing, and analyzing self-experiments to evaluate whether a specific food triggers their symptoms. We examined the feasibility of this approach in a field study with 15 IBS patients, finding that participants could use the tool to reliably undergo a self-experiment. However, we also discovered an underlying tension between scientific validity and the lived experience of self-experimentation. We discuss challenges of applying clinical research methods in everyday life, motivating a need for the design of self-experimentation systems to balance rigor with the uncertainties of everyday life.

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Consistent Visual Analyses of Intrasubject Data

Cited by 94 publications

References 12 publications

A comparison of mean phase difference and generalized least squares for analyzing single-case data

A comparison of mean phase difference and generalized least squares for analyzing single-case data

Using ultrasound visual feedback to remediate velar fronting in preschool children: A pilot study

TummyTrials

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