Download e-book for iPad: Contemporary Peacemaking: Conflict, Peace Processes and by John Darby

By John Darby

ISBN-10: 023021021X

ISBN-13: 9780230210219

Modern Peacemaking brings jointly the services of top students on peace and clash and seeks to spot and discover the basic elements of peace procedures. every one bankruptcy examines relatively a unique point in contemporary peace approaches. the gathering is organised round 5 major subject matters: making plans for peace during times of violence; the method of negotiations; the results of violence on peace techniques; peace accords - constitutional and political strategies; and securing the payment and construction the peace. This authoritative overview of peace strategies covers examples starting from South Africa, Northern eire and Guatemala to Papua New Guinea, Bosnia and the center East.

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Extra resources for Contemporary Peacemaking: Conflict, Peace Processes and Post-war Reconstruction

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We measure continuous and categorical variables at different levels of the data, and we refer to the variables as Level 1, Level 2, or Level 3 variables (with the exception of models with crossed random effects, as in Chapter 8). The idea of levels of data is explicit when using the HLM software, but it is implicit when using the other four software packages. We have emphasized this concept because we find it helpful to think about LMMs in terms of simple models defined at each level of the data hierarchy (the approach to specifying LMMs in the HLM software package), instead of only one model combining sources of variation from all levels (the approach to LMMs used in the other software procedures).

Software Note: Estimation of the parameters in LMMs with crossed random effects is more computationally intensive than for LMMs with nested random effects, primarily due to the fact that the design matrices associated with the crossed random effects are no longer block-diagonal; see Chapter 15 of Galecki & Burzykowski (2013) for more discussion of this point. wisc. pdf, or Fellner (1987)), and we recommend its use for such problems. SAS proc hpmixed also uses sparse matrices when fitting these models.

We describe the Rat Pup data as a two-level clustered data set. In Chapter 4 we analyze the math scores of students (the units of analysis) nested within classrooms (clusters of units), which are in turn nested within schools (clusters of clusters). We describe the Classroom data as a three-level clustered data set. We define repeated-measures data quite generally as data sets in which the dependent variable is measured more than once on the same unit of analysis across levels of a repeated9 10 Linear Mixed Models: A Practical Guide Using Statistical Software measures factor (or factors).

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Contemporary Peacemaking: Conflict, Peace Processes and Post-war Reconstruction by John Darby

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