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Some have even used this method in the development of business research and development plans (Vislosky and Fischbeck, 2000) Bostrom et al (1992) describes RCID creation as a four-step process First an expert diagram (called an expert model) is created (Figure 141) Experts participate in semi-structured interviews where the interviewer is guided by a written protocol intended to elicit what the expert knows to identify important concepts for the domain of interest and how they may be causally related to each other Next, layperson beliefs are elicited often through one-onone interviews using similarly structured or semi-structured protocols that typically begin with general questions to identify what individuals know about the topic, and then move systematically to increasingly focused questions to identify what laypersons know about speci c expert concepts Layperson beliefs elicited in this way are then mapped onto the expert diagram or expert model.

And, finall y. assum ing th at the input voltage has zero phase angle, the output voltage can be expressed as V, ~ V;,

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Finally, alignments as well as misconceptions held by laypersons and gaps between expert and lay knowledge are described using dissociations identi ed in the previous step The severity of misconceptions can be measured by administering questionnaires to new lay participants where interviewee responses are typically given on a vepoint Likert scale, ranging from de nitely false to de nitely true Metrics Several quantitative metrics can be used to compare between-group mental model structure (Bostrom et al, 1992; Vislosky and Fischbeck, 2000) Completeness is a measure of the layperson model identifying how much of the expert reference model is covered by a layperson s mental model It is computed as a ratio of the number of expert concepts identi ed by a layperson divided by the total number of expert concepts Speci city assesses the level of detail in a layperson model.

Sometimes even having keywords divided into subgroups doesn t make it easy enough to find the keywords. You can use the search field in the Keywords panel to search for keywords. As you type into the search box, the keywords matching the search are displayed in the list. The search is not case sensitive and searches for text anywhere in the keyword name.

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A ratio of the number of speci c concepts to general concepts is calculated for both layperson and expert models The layperson ratio is then divided by the expert ratio As with completeness, speci city is only calculated using concepts that were included in the expert model Outcomes This method produces an expert mental model in uence diagram that encompasses all the concepts important to a particular domain It also provides an in uence diagram of the layperson mental model whose structure re ects that of the expert in uence diagram Finally, comparison of expert and lay diagrams identi es a set of issues that laypeople should be taught to achieve understanding of a domain more consistent with expert knowledge of how a set of phenomena actually work Strengths The RCID method typically compares an aggregated mental model diagram from laypersons to an aggregated expert model.

Adding still images or 3D models to a video file is very similar to adding video files. There are lots of reasons to add them: You may be creating a title screen for your video, adding a background, or creating a special effect. These kinds of files look different from a video file in the Timeline as well as the Layers palette, and so I ll show you some of the things that distinguish these files.

The expert model can represent an estimate of the true state of the world from those who are best able to report its structure and content For us, the strength of this method comes from the comparisons that can be made between laypersons, who presumably have little knowledge of a technical domain, and experts who possess all important knowledge about the domain Comparisons against the expert consensus model can illustrate areas where informing laypersons may be helpful RCID can also serve to identify points of emphasis between experts of one specialty (eg, meteorologists) and all experts in general Quantitative measures for comparisons across diagrams are intuitive and easy to understand with limited technical knowledge..

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