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. Removal of Some MMU Objects For example, if a message contains two images and text, removing one of the images may result in the message to meet its size constraint However, note that eliminating some parts of the message will likely result in loss of usability Precisely how it is determined whether removing a part of the message should be allowed, and if so which part should be removed in order to result in the least degradation in user s experience, are beyond the scope of this chapter But content annotation can be used for that purpose (see Section 752) Changing the Encapsulation This can be done without changing the content of the message For example, if the size limit is due to the underlying network constraints, the message could be split into several smaller messages and then transmitted to the receiving end where it must be reassembled .

These effects of embeddedness presumably re ect that attitudes based on a lot of information are held more con dently and provide the individual with many bits of knowledge to counteract the potential in uence of new information Also, embedded attitudes can be more accessible than are attitudes low in embeddedness (see Wood et al, 1995) Evaluative Consistency Evaluative consistency refers to the degree of consistency between the overall attitude (the evaluation) and one of its components (cognitive, affective, or behavioral information) Evaluative consistency occurs when the favorability of the overall evaluation of the object is similar to (a) the favorability implied by the individual s beliefs about the object (evaluativecognitive consistency), (b) the favorability implied by the individual s feelings toward the object (evaluative-affective.

nature of the web and people traveling, merchants do have to be careful about how they implement this as a fraud-prevention tool. Con: It is useful only when you have an IP address, so it will not work for other consumer-not-present (CNP) transactions such as phone-based orders.

indicated that as the size of the capacitor decreased (and the inductor increased), the HBM and the MM results decreased by approximately 2 . Figure 4.13 shows the HBM ESD stress results as a function of the RF ESD diode element capacitance for a xed capacitor C and inductor L (e.g., L 5.88 nH, and C 596 fF). The ESD diode capacitance was reduced from 1200 to 200 fF. Experimental results for HBM and MM ESD stress indicated that as the size of the ESD diode element decreased, the HBM and the MM results also decreased [10 12].

Third, they are asymptotically ef cient This means that in large samples they have smaller sampling variance than any other consistent estimator Finally, they are asymptotically normally distributed, enabling tests of signi cance using the standard normal distribution However, these properties hold only in larger samples Long (1997), for example, recommends having at least 10 observations per parameter estimated, and never using samples smaller than 100 cases An Example In the following pages I present a series of logistic regression models for the occurrence of intimate violence among 4,401 married and unmarried cohabiting couples for the period 1987 1994 Data are from the National Survey of Families and Households (NSFH), a two-wave panel study of a national probability sample of US households conducted by the University of Wisconsin (details of the initial survey can be found in Sweet, Bumpass, & Call, 1988).

The sample for analyses in this chapter consists of couples who were married or living together unmarried in the rst wave of the survey (1987 1988) who were still together in the second wave (1992 1994) My interest is in examining what characteristics of couples at time 1 are predictive of violence during the 5- to 7-year period in which the couples were followed Descriptive statistics for all variables used in the following analyses are shown in Table 201 The binary dependent variable in the rst set of analyses is whether violence was reported to have occurred in at least one wave of the survey (In multinomial models I distinguish between two different types of violence; for now, both types are combined into one category, called Violence in the table.