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Note that the Control key is represented in the Preferences panel by a caret, which is the pointyhat character, shown in Figure 4-5. Also, by default on PowerBooks and iBooks, you have to hold down the fn key to get any of the function keys to work, such as F2. So, to type the keystroke for Move Focus to the Menu Bar in Figure 4-5 on a PowerBook or iBook, you hold down Control and fn, and press F2. Of course, you can use the Preferences panel to change this keystroke to something else, if you like.

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signi cant, we could conclude that gender does predict Acceptance of Risky Behavior Notice that we did not delete the gender variable from the model, just the path Had we deleted the variable the data would be different, and the models would not be nested At least two potentially problematic issues arise that are speci c to the use of chi-square difference tests Because of the relationship between sample size and chi-square, it is hard to detect a difference between models when sample sizes are small Additionally, and perhaps somewhat less important given current computer capabilities, two models must be estimated to use the chi-square difference test Lagrange Multiplier Test The LM test also compares nested models but requires estimation of only one model The LM test asks whether the model would be improved if one or more of the parameters in the model that are currently xed were estimated.

Chlebus, Randomized communication in radio networks, in Handbook on Randomized Computing, vol I, pp 401 456, P M Pardalos, S Rajasekaran, J Reif, and J D P Rolim (Eds), Norwell, MA: Kluwer Academic Publishers, 2001 12 B S Chlebus, L G sieniec, A Gibbons, A Pelc, and W Rytter, Deterministic broadcasting in a unknown radio networks, Proceedings 11th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2000), pp 861 870, 2000 13 B S Chlebus, L G sieniec, A stlin, and J M Robson, Deterministic radio broadcasting, a Proceedings 27th International Colloquium on Automata, Languages and Programming (ICALP 2000), July 2000, Geneva, Switzerland, LNCS 1853, pp 717 728 14 M Chrobak, L G sieniec, and W Rytter, Fast broadcasting and gossiping in radio networks, a Proceedings 41st Symposium on Foundations of Computer Science (FOCS 2000), Redondo Beach, California, pp 575 581, 2000 15 A E F Clementi, A.

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Or, equivalently, what parameters should be added to the model to improve the model s t The LM test applied to the Acceptance of Risky Behavior example indicates that if a path were added predicting bonds to teachers (TEACH_SC) from gender, the expected drop in chi-square value would be 12617 This is one path, so the chi-square value of 12617 is evaluated with 1 df The p level for this difference is p < 001, implies that over and above the covariance between gender and Weak Institutional Bonds there is a unique, signi cantly nonzero relationship between gender and bonds to teachers If the decision is made to add the path, the model is reestimated In this example the decision is made not to add this path The LM test can be examined either univariately or multivariately.

Monti, and R Silvestri, Selective families, superimposed codes, and broadcasting on unknown radio networks, Proceedings 12th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2001), pp 709 718, 2000 16 G De Marco and A Pelc, Faster broadcasting in unknown radio networks, Information Processing Letters, 79, 53 56, 2001 17 A Dessmark and A Pelc, Deterministic radio broadcasting at low cost, Proceedings 18th Annual Symposium on Theoretical Aspects of Computer Science (STACS 2001), LNCS 2010, pp 158 169, Dresden, Germany, February 2001 18 A Dessmark and A Pelc, Tradeoffs between knowledge and time of communication in geometric radio networks, in Proceedings of the 13th Annual ACM Symposium on Parallel Algorithms and Architectures (SPAA 2001), pp 59 66, Crete, Greece, July 2001 19 A Dessmark and A Pelc, Distributed coloring and communication in rings with local knowledge, Proceedings International Parallel and Distributed Processing Symposium (IPDPS 2001), San Francisco, April 2001 20 K.

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