The presented FDM has been designed to require as little direct supervision and specialized equipment as possible. For data collection, researchers will only require a digital video camera (preferably, high definition; no specific codec required),Footnote 2 mounted to be completely stable throughout the recording. Although the light source need not remain completely stable, it should not be subject to large fluctuations. In order to provide time-locked images, we recommend using a single camcorder to record both participants (see Fig. 1). These analysis methods can be adjusted to accommodate multiple cameras, so long as the sequences can be accurately synchronized in time. However, the description of our methods is written under the assumption that the researcher is using a single camera.
Matlab code for keller box method
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https://mciun.com/2yH9RK Using similar methods to existing FDMs (e.g., Nagaoka & Komori, 2008; Ramseyer & Tschacher, 2008), we have provided MATLAB code for a simple automated version, intended to minimize the required amount of postrecording editing (see Appendix 2). This simplified FDM provides researchers with added flexibility in recording setups and, in conjunction with AppleScripts to automate data preparation (see Appendix 1), allows for an almost completely automated analysis of multiple interactions at a time. By broadening data collection conditions and automating data analysis, researchers will be able to spend more time collecting dyads, leading to larger sample sizes. The use of cross-correlation coefficients as an indicator of interpersonal bodily synchrony, rather than generalized rating scores, will give statistical analyses greater power.
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