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that is, from an insensitivity to the actual amount of time that an affect was experienced (see also Kahneman, 1999; Russell & Carroll, 1999) Second, several studies have shown that general affect ratings are in uenced by the respondents mood at the time of assessment (eg, Schwarz & Clore, 1983; Schwarz & Strack, 1999; Stone et al, 1999) Third, retrospective ratings are subject to recency effects, such that more recent experiences have a greater in uence than more distant ones (Schwarz & Sudman, 1994; Stone et al, 1999) In light of these problems, many researchers have argued for an alternative assessment approach based on immediate, on-line ratings of affect (eg, ratings of one s current, momentary mood) A single rating of current affect obviously cannot provide a valid assessment of long-term individual differences in trait affectivity.

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However, multiple on-line judgments of this type can be averaged to create more reliable and valid trait measures Note that this approach to trait assessment neatly circumvents all of the problems associated with retrospective judgments Moreover, it takes advantage of the well-established bene ts of aggregation, which typically yields substantial gains in both reliability and validity (Rushton, Brainerd, & Pressley, 1983) Consequently, after reviewing the advantages and disadvantages associated with both global and aggregated ratings, Stone et al (1999) encouraged researchers to avoid retrospective ratings and to target multiple, immediate reports from people in their typical environments (p 26; see also Kahneman, 1999; Schwarz & Strack, 1999) Before proceeding further, we must emphasize that these two approaches to trait affect assessment generally show moderate to strong levels of convergence (see Watson & Tellegen, 1999; Watson, Tellegen, & Cudeck, 2002) To further establish this key point, Table 14.

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What is different between GS1, GS2, and the other four schedules that are not serializable is that, in GS1 and GS2, the commitment order of T1 and T2 at Site 1 and Site 2 are compatible, but that is not the case for the other four schedules From the above observation, we conclude that in order for a set of transactions in a distributed DBE to be serializable, the following two requirements must be satis ed: 1 All local schedules must be serializable 2 If two transactions con ict at more than one site, their PCO requirements at all sites where they meet must be compatible for all their con icts In this example, we assumed schedules S1 = R1(X), W2(X) and S2 = R2(Y), W1(Y).

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9 reports correlations between general and aggregated mean ratings in two large samples; in both cases, affect was assessed using the complete PANAS-X The rst sample was composed of 251 SMU students who initially completed a general, trait form of the PANAS-X They then rated their daily mood once per day over a period of 6 7 weeks; these responses were averaged across the entire rating period to yield mean scores on each PANAS-X scale To be included in the analyses reported here, a respondent had to complete a minimum of 30 daily assessments; overall, the participants produced a total of 11,062 observations (M = 441 per participant) The second sample was composed of 187 University of Iowa students who rst rated their general affect, and then rated their moods each week over a period of 14 weeks.

108 6. 7.

To be included in these analyses, a respondent had to complete a minimum of 10 weekly assessments; overall, these participants produced a total of 2,544 observations (M = 136 per person)..

The length indicator (LI) is used to indicate the number of octets following the length indicator octet and preceding the check bits and is a binary number in the range of 0 63. The length indicator differentiates between three types of signal units as follows: Length indicator 0 Length indicator 1 or 2 Length indicator 2 Fill-in signal unit Link status signal unit Message signal unit

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Using our rules for global serializability, we conclude that, since at Site 1 we have the requirement T1 T2 and at Site 2 the requirement T2 T1, the global schedule is not serializable The above-mentioned requirements work for distributed systems with or without replication Example 57 provided the case in which the data items were not replicated In Example 58, we will use a replicated database Before discussing this example, we need to brie y discuss what replication is In replicated databases, we have multiple copies of each replicated data item and store different copies of the same data item at different sites Having more than one copy of the data allows us to have more availability and more resiliency We will discuss more details of replication in 7.

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