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By contrast, in taking a re exive stance, a researcher acknowledges these connections, is willing to explore them, and recognizes that she is not exempt from the psychological processes she studies in others For example, Deborah Belle (1994) re ected on how her position as a young, middle-class, white professional affected her relationship with and understanding of the low-income white and African American women she was interviewing Pondering the similarities and differences between herself and her respondents led Belle to insights about the limited utility of conceiving of race and class merely as categories of individual difference, the complex signi cance of social networks for poor women, and the inadequacy of equating poverty with current household income Re exivity also encompasses analysis of the social relationships among various participants in the research enterprise.

Clifford Beers (1876 1943) wanted to establish a movement that would make the public aware of mental illness and willing to provide for its alleviation and treatment This became known as the mental.

time and data availability, must have enough important information to consider alternative decisions or solutions Obviously, however, the more time that is spent on collecting data and information, the greater the cost For many decisions, accounting records, forms, and reports are a major source of information This type of information is verifiable, objective, and quantitative and can provide specific data about an activity, event, or problem The three most important aspects of accounting information are that it is relevant and appropriate for the problem at hand, that it is current, and that it is accurate within the measurement standards imposed by the needs of the problem 4 Make the decision Even though the foregoing three steps may be followed, decision making may still be difficult, since important variables of the problem may affect one another In some situations, the information can provide its own solution.

For example, perpetual inventory cards as an aid to inventory control were described in 2 These perpetual inventory cards can show, for each storeroom item, the minimum and maximum inventory levels If the minimum stock level for a specific product is 5, and inventory has dropped to that point, and maximum is 15, then 10 more of that item need to be ordered However, in such a situation, no attempt is made to relate the purchase to current conditions What if the consumption for that product is no longer as high as it used to be Perhaps the maximum inventory of 15 should be reduced to 10 and the reorder point to 2 until conditions change again.

To model signal amplitude loss, we assume a general model K(d), where 0 K(d) 1 for all d. Here K(d) is a fraction of the transmitted magnitude seen at distance d from the transmitter. For example, if the receiver node j is at distance d from node i, and node i transmits a signal of magnitude A, then node j will hear a signal of magnitude AK(d). We derive K(d) from a power path-loss model since any path-loss model captures the average received power at a given distance from the transmitter. This average received power is perfect for modeling received signal magnitudes in our problem setup, since we are considering asymptotically dense networks. Due to the large number of nodes at any given distance d from the receiver, using the average received magnitude at distance d as the contribution from each node at that distance will give a good modeling of the amplitude of the aggregate waveform. An example of K(d) is given in Section 2.5. This K(d) is good for modeling aggregate signal-propagation distances, but to model the magnitude of the aggregate signal at a given node j we choose to use a random variable Kj,i with the following properties:

To make such decisions from manual information might be difficult, but computerized inventory systems can be programmed to provide information concerning such matters as rate of consumption of inventory products as well as quantity discounts and inventory holding costs In a really intelligent computerized system, the idea of fixed reorder points for any items might be completely abandoned, and the computer will consider all the relevant factors item by item and only print a list of items to be ordered and in what quantities One type of decision making is known as management by exception With management by exception, small deviations from normal, which do not require any management action, are not drawn to its attention For example, the standard food cost is established at 40 percent As long as the food cost variance is only 1 percentage point above or below 40 percent (ie.