6.7 Designs that Address Specific Questions: Multiple and Alternating Treatment Designs

The designs we have reviewed so far have consisted of studying a single behavior across conditions over time. Hayes et al., (1999) refer to these as within-series designs (e.g., B-only, AB, AB*, changing criterion, periodic treatment). But there are other situations in which we may want to compare two different interventions, or the effectiveness of...

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6.99 Epilogue: Assessing Client Performance

This chapter helps you use Therapy-Science’s iGraph™ to graph, visualize, and analyze your client’s performance for evidence of improvement over the course of therapy. The first three sections in Chapter 6 focus on the fundamentals of single-case graphs including its graphical components and measurement basics (level, trend, variability/stability). The next four sections introduce single-case design...

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7.0 Analyzing Your Data Using Therapy-Science: Introduction

You are now at the point in this text to be able inspect the data that you have collected for evidence of positive clinical change. How do you know that your client is improving? What does it look like? This chapter addresses the visual- quantitative analysis of data collected within a single-case framework. Continue reading...

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7.2 Analyzing Your Data Through Visual-Quantitative Means

Traditionally, practitioners of single-case data design have used visual means to describe and analyze the level, trend and stability of their client’s behavior within and between adjacent phases (Parsonson & Baer, 1986). In recent years, visual analysis has been augmented by increasingly powerful statistical techniques and computer-based visualization methods (like Therapy-Science!). Continue reading...

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7.99 Epilogue: Analyzing Your Data Using Therapy-Science

Give a boy a hammer and everything he meets has to be pounded. Abraham Kaplan (in Horowitz, 1962) You now have most of the tools that you need to structure and analyze any intervention for your client. You have a vocabulary for describing the level, trend, and variability within and between phases in a single-case...

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