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argued that evidence for the technical adequacy of many projective techniques is lacking or does not support their use with children and that projective test results appear to lack educational relevance (Batsche & Peterson, 1983; but also see Knoff, 1983). There can be no absolute answer about whether or not to use projectives with school children. Concerns about the validity and usefulness of personality tests, like other assessment tools, are appropriately addressed by considering test properties in relation to the purposes of the assessment (Messick, 1965; Standards, 1999). Practitioners must strive to select tests that have demonstrated validity for the purpose used and ensure that findings are cross-validated within the framework of a multimethod model. A third concern about the use of projectives is that school psychologists may not be adequately trained in their use. Consistent with the broad ethical principle of responsible caring, school psychologists must evaluate their own competence to use particular assessment strategies. Practitioners who use personality tests need to have knowledge of the test s conceptual model of personality development and deviation, skills in the administration and interpretation of the particular assessment tool, and competent judgment about when to use that test or strategy. Projective tests should be used only by psychologists with verifiable training in their use.

those subspaces for which the attributes spanning it are strongly dependent However, it is clear that three or more attributes that are strongly dependent need not exhibit strong pairwise dependences As an example consider the extreme case of three binary attributes, one of which is computed as the exclusive or of the other two In this case all pairs of attributes are independent, but all three are, of course, strongly dependent, and thus measuring only the strengths of mutual dependences does not assess the situation correctly Note that in this case it does not matter whether we consider a maximal clique with these attributes or one attribute conditioned on the other two: in either case we have to take all three attributes into account.

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Consequently, we have to be able to extend a measure for the strength of the dependence of two attributes in two ways: (1) to a measure for the strength of the dependence of one attribute on several others (that is, its parents in a directed acyclic graph); and (2) to a measure for the strength of the joint dependence of several attributes (that is, the attributes of a maximal clique of an undirected graph) The former is always possible: we only have to combine all conditioning attributes into one pseudo-attribute, the values of which are all distinct instantiations of the combined attributes Thus we reduce this case to the two-attribute case The latter, however, is usually much harder to achieve, because the resulting measure must exhibit a high symmetry.

Seventy-six percent of repeat home buyers used all of the capital gains from the sale of their previous home for the down payment on their current home. Another 10 percent of households put some of the gains back into their new home. Only 15 percent of repeat home buyers did not use the realized equity for the down payment on their current home. The 2001 National Association of Realtors Profile of Residential Real Estate Brokerages While there is great diversity in the characteristics of today s real estate brokerages, recent survey results indicate that the typical residential real estate firm: Is a single-office operation. Has been in business for 10 years. Has a sales force of four agents who are independent contractors. Is not affiliated with a franchise and operates as a corporation. Operates a web site and places the brokerage s listings on a number of web sites. Generates at least 1 percent of its business from the Internet. Has a policy that its sales force be accessible by e-mail. The diversity of real estate firms is most apparent by firm size: 85 percent of residential brokerages have a single office, while 4 percent have four or more offices. 67 percent of residential brokerages have a sales force of five or fewer agents; 3 percent have a sales force of 50 or more. Large residential brokerages those with at least 200 salespeople have been in the real estate brokerage business for more than twice as long as small brokerages with 20 or fewer salespeople. Two-thirds of large residential brokerages are engaged in mortgage lending, compared to 16 percent of smaller brokerages. Two-thirds of large residential brokerages are affiliated with a franchise organization, whereas 10 percent of small residential brokerages are franchise operations.

That is, it must be invariant under any permutation of the attributes, because in a maximal clique no attribute can be distinguished from any other As an example of such extensions consider mutual (Shannon) information (cf Definition 714 on page 180) for n attributes A1 , , An Combining the attributes A2 , , An into one pseudo-attribute yields the formula Imut (A1 , , An ) =.

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