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Visual inference is the predominant mode of data analysis reported in single-subject research; however, this process is subject to systematic biases that affect its use. To guide the process of visual inference, a four-step model is presented for the assessment of: (a) reliability, (b) intervention effect, (c) meaningfulness, and (d) generalizability. A Visual Inference Checklist (VIC) systematizes this assessment process.
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Furlong et al. (1981) studied this question.
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