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Because of this, the Likert approach can (and often does) improve the reliability of a scale by capturing more respondent variability per item, particularly with scales composed of relatively few items (Comrey, 1988) Use of this approach can increase the depth of content validity, because each item can capture differences in the intensity or severity of the measured characteristic If a scale relies upon one or two items, it is recommended that many response alternatives along the scale be offered Guilford (1954) reported that reliability increases as a function of the number of scale steps, rapidly up to roughly 7 response alternatives, and beginning to asymptote at about 11 alternatives.

Proof D(p(x)p(y|x)||p(x)r(y)) D(p(x)p(y|x)||p(x)r (y)) =

Select the imported file in the Library panel and choose Update from the Library options menu. Working with common libraries You can use the sample libraries included with Flash to add symbols, buttons, or sounds to your documents. You can also create your own sample libraries, which you can then use with any documents that you create.

Nunnally (1978) describes studies that suggest that overuse of a scale midpoint may constitute a response style that may decrease scale reliability; consequently, use of an even number of alternatives may be preferable because it eliminates use of a scale midpoint and facilitates subsequent dichotomization of responses, if desired Forced-Choice Method The forced-choice method (eg, Edwards, 1957) requires the respondent to select between response alternatives that differ in their relationship to the measured construct but are equated with respect to some nuisance variable Typically, this nuisance variable is social desirability For example, the EPPS (Edwards, 1959) attempted to equate item response alternatives based upon indicators of desirability, such as their desirability ratings in a representative group, or the frequency with which an item is endorsed in such groups The effectiveness of this approach was controversial, with a number of potential shortcomings described.

First, the social desirability of a response may be strongly tied to the context of evaluation; for example, the personality traits perceived as desirable for a.

Figure 2-5 shows the arrangement of the 10 bytes that make up the physical sensors packet group. There are two bytes (16 bits) of digital sensor data, and two bytes of analog data. That is a total of four bytes of data, optimally packed. Then why is this packet 10 bytes Although the wheel drop and bump sensors are implemented as bits in a single bit field, all the wall and cliff sensors are given a byte each, even though they are all just binary on/off sensors. This seems strange and rather wasteful, especially considering the aforementioned rationale of dividing up the sensor data into groups. One possible reason for this distinction might be that the Roomba firmware wants to do the minimum calculation necessary to determine if it detects a cliff or a wall, and perhaps testing an entire byte being non-zero is easier or faster than testing a bit within a byte. This is one of those examples where the ROI could have offered a little more abstraction of the data but didn t.

Communications Introduction Satellite Three Basic Technical Problems Frequency Bands: Desirable and Available Multiple Access to a Communication Satellite 9.3.6 Earth Station Link Engineering 9.3.7 Digital Communication by Satellite 9.3.8 Very Small Aperture Terminal (VSAT) Networks Fiber Optic Communication Links 9.4.1 Applications 9.4.2 Introduction to Optical Fiber as a Transmission Medium 9.4.3 Types of Optical Fiber 9.4.4 Splices and Connectors 9.4.5 Light Sources 9.4.6 Light Detectors 9.4.7 Optical Fiber Ampli ers 9.4.8 Wavelength Division Multiplexing 9.4.9 Fiber Optic Link Design Coaxial Cable Transmission Systems 9.5.1 Introduction 9.5.2 Description 9.5.3 Cable Characteristics Transmission Media Summary Review Exercises References

12:4

Figure 6.2. Environmental factors for functional tissue assembly. Cell function in vivo depends on a number of factors: a three-dimensional template; normal physicochemical milieu (temperature, pH, osmolality); exchange of nutrients, oxygen, and metabolites; and the presence of biochemical and physical regulatory factors. The design of tissue engineering systems is governed by the need to mimic these environmental factors in vitro and thereby direct the cells to assemble functional tissue structures.