Thursday, February 10, 2011

Measurement instrument13

Participants' authoritarian personality was measured by a seven-point Likert-type scale originally developed by Rigby (1984). The instrument is a reduced form of Rigby (1982) General Attitude Toward Institutional Authority (GAIAS). This scale has been used in prior accounting studies (e.g. DeZoort and Lord, 1994 F.T. DeZoort and A.T. Lord, An investigation of obedience pressure effects on auditors judgments, Behavioral Research in Accounting 6 (1994), pp. 1–30.DeZoort & Lord, 1994). This instrument was developed to capture a pro-authority attitude as a dimension (see [DeZoort and Lord, 1994], [Harrison, 1991], [Rigby, 1982] and [Rigby, 1984]) and is suitable to explain the effects of the obedience pressure treatment used in our experiment. Participants were asked to express their opinion on each item using the seven-point scale, anchored with (1) strongly disagree and (7) strongly agree. Consistent with prior accounting studies ([DeZoort and Lord, 1994], [Heaven and Rigby, 1986], [Ray and Lovejoy, 1990], [Rigby, 1984] and [Rigby, 1987]), the scores of the 16 items were summed to form a composite measure of the scale for authoritarianism. The Cronbach alpha coefficient of 0.71 (Cronbach, 1951) obtained for the scale indicates satisfactory internal reliability for the scale.

H1 predicts that project managers will exhibit a greater tendency to continue a failing project when obedience pressure is present than when it is absent. The results presented in Panel A, Table 1 show that the mean response of project managers who experienced obedience pressure (4.28) is higher than the mean response of project managers who did not experience such pressure (6.11). A t-test shows that the difference in the mean scores between these two groups is statistically significant (t-value = 3.501, p > 0.001). Therefore H1 is supported. This result indicates that the managers who were subjected to obedience pressure were more likely to continue a failing project than the managers who were not subject to such pressure.
H2 predicts that project managers in a condition of private information and subject to obedience pressure would have a higher tendency to escalate commitment than project managers who experience only one or neither of these conditions. The results presented in Panel B, Table 1 show that there is a statistically significant (F-value = 2.776, p < 0.05, 1-tailed) two-way interaction between information availability and obedience pressure.

A closer look at Table 1, Panels A and C reveal the nature of this interaction. The results presented in Table 1, Panels A and C, reveal that the mean preference responses of project managers in the Private Information Condition and Presence of Obedience Pressure cells is statistically significantly less than that of those in (1) Public Information Condition and Absence of Obedience Pressure cells (i.e., Cell 4 = 2.45 < Cell 1 = 7.21, mean difference = 4.77, p < 0.01, 1-tailed); (2) Public Information and Presence of Obedience Pressure cells (i.e., Cell 4 = 2.45 < Cell 2 = 6.10, mean difference = 3.66, p < 0.01, 1-tailed) and (3) Private Information and Absence of Obedience Pressure cells (i.e., Cell 4 = 2.45 < Cell 3 = 5.03, mean difference = 2.59, p < 0.01, 1-tailed). This is illustrated in Fig. 1. Taken together, these results provide strong support for hypothesis H2.

H3 states that under private information conditions, low authoritarian project managers will exhibit a greater tendency to continue a failing project regardless of the extent of obedience pressure, whereas hypothesis H4 states that under private information conditions, high authoritarian project managers will exhibit a greater tendency to continue a failing project when they are subject to the presence rather than absence of obedience pressure. The results in Table 2, Panel A reveal that low authoritarian project managers escalate their commitment to continue with a failing project under both the absence (i.e. Cell 1 = 4.38) and presence (i.e., Cell 3 = 2.36) of obedience pressure. A Bonferroni t-test reveals that Cells 1 and 3 are not statistically significant (p < 0.11, 1-tailed). Taken together, these results support H3 and suggest that low authoritarian project managers expressed their tendency to escalate commitment to continue with a failing project under a condition of private information, regardless of the extent of obedience pressure.


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Table 2. Mean preference responses for individual across obedience pressure (present vs absent) and authoritarianism (high vs low) under private information conditions, including the related multiple comparisons.
The results shown in Table 2, Panel A reveal that high authoritarian project managers who are subject to obedience pressure (i.e. Cell 4) escalated their commitment to continue with a failing project, while high authoritarian project managers who were not subject to obedience pressure (i.e., Cell 2) did not escalate their commitment to continue with a failing project. As expected, the results presented in Table 2, Panel B show that the difference between the mean preference scores in Cell 2 (5.93) and Cell 4 (2.47) is statistically significant (mean difference = 3.46, p < 0.01, 1-tailed). These results suggest that high authoritarian project managers tended to continue a failing project only when they were subject to obedience pressure. Taken together, these results support H4. Fig. 2 illustrates these results.

 

Saturday, January 22, 2011

Watch Movies Free

If radio, music system and TV are still your cup of tea, then assume once once more about your concept of residence- entertainment. In immediately's hello-tech period, one needs to be lightening quick, be it your work, play, considering skill or the way in which you entertain yourself. For this, you might want to stay alert about the development in technology. I believe that with this expertise-driven landscape, our entertainment habits are all able to experience a sea-change, as worldwide net has provided its followers new potentialities of entertainment, by providing the choice to watch movies online free.
As more & more viewers are heading in the direction of internet with each following day, it appears that evidently TV would change into a thing of bygone era fairly soon. With out an oz of doubt, PCs have already proved their superiority over fool boxes owing to their excellent storage capabilities. In nearly all, developed as well as creating nations, high speed broadband connection has become household name. Individuals have already began to watch movies online, fairly than ready for the DVD release or involving in the tiresome technique of going to theatres.
Furthermore, with the online possibility, one can watch stuff of his/her interest at one's own pace & convenience. With an infinite development within the technology, the bullock-cart type data transfer rates have been changed by jet velocity downloads, making viewers avail their desired stuff within few blinks of an eye. Now gone are the times, when to obtain a full-length movie, one needed to await hours. Furthermore, the provision to watch movies online for free has made the used-to-be onerous job a breezy one.
Well, as soon as you will begin satiating your taste buds by switching to watch movies online, you'll absolutely wean yourself away from the habit of sustaining & holding the collection of costly DVDs, as this needs a particular care owing to their sensitivity in direction of mud, scratches & breakage.
Additionally, you'll remain free from the hassle of storing these movies, as these are instantly steamed from the server. Hence, you may make full use of your PC's exhausting disk for other helpful functions reasonably than filling it with your favorite movies.
However, one thing that you want to maintain whereas selecting to watch movies in the online mode is, opt for some dependable entertainment portal, as an illustration, subscription websites. Subscription web sites are those that assure proper protection to your PCs, owing to their rock-stable virus-aversion methods, which possess the potential to battle against all types of internet threats.
Other than security options, such sites present you a variety of English in addition to overseas films, which additional improve your excitement to watch movies via online access.
Additionally, on choosing to watch movies online free, you don't have to worry about any late charges or fees for not returning the DVD on time.

Wednesday, December 8, 2010

Design guidelines for wireless sensor networks: communication, clustering and aggregation

Wireless sensor networks are networks of wireless nodes that are deployed over an area for the purpose of monitoring certain phenomena of interest. The nodes perform certain measurements, process the measured data and transmit the processed data to a base station over a wireless channel. The base station collects data from all the nodes, and analyzes this data to draw conclusions about the activity in the area of interest. These networks are different from the traditional wireless ad hoc networks, because the nodes in an ad hoc network are in general less energy constrained [1]. In ad hoc networks the communication paradigm is any-to-any, since any node may wish to communicate with any other node. However in most sensor networks the many-to-one communication paradigm is more common. This is because in case of sensor networks, nodes send their data to common sinks or cluster head nodes for processing. This many-to-one paradigm often results in non-uniform energy drainage patterns in the network.
In the context of ad hoc networks it is well-known that when the propagation loss exponent is high, multi-hop communication should be used to counter the high path loss. However when nodes are organized in clusters, and when they use multi-hop communication to reach the cluster head, the nodes closer to a cluster head have a higher load of relaying packets as compared to other nodes. When the nodes are mobile (as is the case in ad hoc networks), due to the randomness induced by the time varying node positions, this relaying load gets (more or less) evenly distributed over all the nodes. However in most sensor networks nodes are static. Consequently the nodes closer to the cluster head get overburdened constantly. On the other hand when the nodes use single hop communication to reach the cluster heads, the nodes located farther away from a cluster head have the highest energy burden due to long range communication. The cluster heads themselves have the extra burden of performing long range transmissions to the distant base station.
The problem we address is that of determining the optimum number of cluster heads, of dimensioning, and determining the battery energy of the nodes, and determining the optimum mode of communication in each cluster (single hop or multi-hop). Most of the work in the sensor network literature assumes one of the two modes (single hop or multi-hop) and then optimizes the system for that particular mode. However in our work we present a systematic cost-based comparison of the two modes for 1-D (linear), 2-D (planar) and 3-D (spatial) clusters. We also propose a model for data aggregation which serves as an entry point for the application in the overall network design problem that we study next. We then propose and analyze a hybrid communication mode which alternates between single hop and multi-hop modes to ensure a more uniform energy drainage pattern. In this study we mainly focus on the trade-offs involved between communication, clustering and aggregation, and hence it is difficult to account for all other aspects of sensor networks such as MAC and routing. Our objective is to study these trade-offs and provide guidelines to the sensor network designers. Our analysis pertains only to the data gathering sensor networks, and not to the event detection sensor networks. In data gathering networks the nodes periodically send their sensed data to the base station, while in event detection sensor networks the nodes are idle for long periods of time, and spring into activity only when the event of interest occurs.
The rest of the paper is organized as follows. In Section 2 we discuss some of the related work. Section 3 contains a brief outline of the problem statement and our approach. In Section 4 we study single hop versus multi-hop modes in a single cluster. In Section 5 we propose a new model for data aggregation and solve the overall system design problem with this model. In Section 6 we propose and study a hybrid mode of communication. Section 7 presents some case studies for some typical sensor network settings. Finally we conclude the paper in Section 8.

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