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consist of the collector capacitance (CC-SX, Cbc), collector resistance (rC), and velocity saturation term (vsat).

equal than others because they explain more variance or are assigned privileged status for conventional reasons This section contains an evaluation of trait taxonomies that have been proposed or implied, and it works its way toward a family model that may be acceptable by way of integration However, it should be kept in mind that taxonomies are subject to contradictory demands, namely, conceptual and communicative simplicity on the one hand, and adequate coverage of empirical reality on the other The Principal Component Analysis Plus Varimax Taxonomic Model In its elementary form, the Big Five structure consists of a varimax rotation of the rst ve principal components taken from a large heterogeneous set of trait adjectives (see, eg, Ostendorf, 1990).

1. Press Alt+F11 to activate the VBE. 2. In the Project window, select the workbook s project, and choose Insert UserForm to add an empty UserForm. 3. The UserForm s Caption property will have its default value: UserForm1. Use the Properties window to change the UserForm s Caption property to Get Name and Sex (if the Properties window isn t visible, press F4). 4. Add a Label control and adjust the properties as follows:

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Figure 13.2. An overview of the variation found in the mean data from the ANOVA-partial least squares regression (APLSR) correlation loadings plot for each of the 5 MAP treatment groups: 40%, 50%, 60%, 70%, and 80% oxygen, with all packs containing 20% CO2 and the make-up gas N2. Shown are the loadings of the X and Y variables for the rst 3 PCs for raw data. = days and MAP treatments, = sensory descriptor and instrumental variables. The concentric circles represent 100% and 50% explained variance, respectively. (Adapted from Zakrys et al. 2009.)

Whether this result is intended as a model in any proper sense is irrelevant, as it evidently functions like one: People receive scores on the Big Five, and these scores are interpreted as their personality structure speci cally, an orthogonal structure according to which these factors vary independently over persons Goldberg (1993a) articulated that the model in question may be viewed as hierarchical: Items specify scales, and scales specify factors This argument presupposes simple structure, but that condition is not ful lled A concomitant and very widespread notion is that the Big Five are broad (in the sense of fuzzy) factors of personality.

Most costs do not fit neatly into the fixed or the variable category. Most have an element of fixed cost and an element of variable cost. As well, they are not always variable directly to sales on a straight-line basis. Such costs would include payroll, maintenance, utilities, and most of the direct operating costs. In order to make some useful decisions, it is advantageous to break down these semifixed or semivariable costs into their two elements: fixed or variable. Ways of doing this will be discussed later in this chapter.

Throughput; Transit delay; Information integrity; Residual error rate; Delivered error(ed) frames; Delivered duplicated frames; Delivered out-of-sequence frames; Lost frames; Misdelivered frames; Switched virtual call establishment delay; Switched virtual call clearing delay; Switched virtual call establishment failure; Premature disconnect; and Switched virtual call clearing failure.

18 Time of day (h)

Relations Between Attitudes, Values, and Ideologies Attitudes and Values Not only are different attitudes interconnected, but they may also be related to other, higher-order constructs such as values The capacity of attitudes to express values is highlighted by theories describing the value-expressive function of attitudes (eg, Herek, 1986; D Katz, 1960) and by measures that speci cally include value-relevant beliefs in the assessment of attitude components (eg, Esses et al, 1993) In addition, Rokeach s (1973) seminal theory of values emphasized the role of values in driving attitudes He suggested that a relatively small set of social values underlie most attitudes Consistent with this reasoning, rankings of the importance of values have been shown to predict a large variety of attitudes and behavior (eg, Maio, Roese, Seligman, & Katz, 1996).