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where V ( ) denotes the Laplace Stieltjes transform (LST) of the sleep time, which (since sleep time is a discrete random variable) can be obtained by substituting the variable z with e s in the expression for V(z). A node returning from sleep (i.e., with nonempty buffer) has to synchronize with the next beacon; the synchronization time is uniformly distributed between 0 and BI 1 backoff periods (where BI is beacon interval), and its PGF is S1 z 1 zBI BI 1 z 16:7

the interest in evolutionary theory has grown strongly in psychological literature, particularly over the past dozen years. Other terms give a fuller picture. Psychologists were very interested in genetics; this term appeared 15,860 times. Evolution appeared 18,614 times, but the number doesn t mean much because evolution is also used generically for change of any kind. Psychologists were relatively interested in sociobiology; the term appeared 735 times, more than for evolutionary theory. It seems clear that evolution is of rapidly growing interest in many areas of psychology and will increasingly affect psychological theorizing. In fact, it already has; the term evolutionary psychology appears to have been coined only in the 1980s (e.g., Tooby, 1988). There are many ways that evolutionary concepts may affect psychological theorizing. In fact, there will undoubtedly be much fragmentation in conceptual approaches over the next several years. Why Because the various disciplines that form evolutionary biology are in fractious disagreement, ranging from the role of the gene to the place of the ecological habitat in evolution. Before focusing on psychology, it will be useful to make a modest excursion into biology.

Subject Index construct, 272 279 as human variation, 280 285 as malevolent agency, 283 285 as mental disorder, 285 286 in Millon s theory of personality disorder, 219 220, 282 283 new paradigms for, and relevance to treatment, 425 426 North American concepts, 272 274 as a personality construct, 271 287 as personality disorder, 279 280 as personality variation, 281 282 primary and secondary, 276 278 psychoanalytic perspectives, 165 172 Psychopathy Checklist (PCL): revised (PCL-R), 271, 274 276, 282, 284, 285 screen version (PCL-SV), 274, 284 Psychosis, 168, 296 Psychosynergy, 147 148 Psychotherapeutic ideology, 230 Psychotherapy integration, 511 522 contemporary treatment models, 516 521 cognitive-analytic therapy (CAT), 519 cognitive-developmental model, 516 cyclical psychodynamics, 517 518 dialectical behavior therapy (DBT), 520 integrated psychotherapy for borderline personality disorder, 521 integrative relational psychotherapy, 520 schema-focused therapy, 517 three-tier model, 517 developmental history, 511 513 theoretical connections and trends toward synergy, 513 516 Pubertal-gender identity stage, 377 Q-factor analysis, 247 Randomized control trial (RCT) design, 420, 421 423 Red (Regressive Loyalist) versus Green (Growth Collaborator), 431, 433, 438 Reframing, 485, 492 Regulatory mechanisms, 482 Regulatory metagoals, 131 132 Repetition compulsion, 176 Replication, strategies of (self-other polarity): measuring personality, 377 motivational dimensions, 380 personologic theory, 533, 535 political psychology, 202 203, 205, 209 211 Rewarding object relations unit (RORU), 298 Risk behaviors, health, 334 335 Role play, 454 Role-taking ability, deficiency in, 273 Rorschach Inkblot Method (RIM), 318, 319 320, 321, 324, 325, 328 Rotter Incomplete Sentences Blank (RISB), 318 Sadistic personality disorder, 375 SASB model, 135, 437 Scale equivalence, 401

The Use of Parameter Restrictions Restricted parameters include those that are xed, in which the value is set to a particular value and not estimated, and those that are constrained to be equal to other parameters in an equivalence set, so that only one parameter is estimated for the entire set In a classic article, Goodman (1974) presented the estimation of restricted latent class models using the EM algorithm Often latent class models are t without the use of any parameter restrictions Such unrestricted models can be quite informative, and are especially useful for exploring new models However, parameter restrictions serve two important roles in latent class models First, parameter restrictions can be used to help in achieving identi cation Both xing and constraining parameters reduces the number of parameters to be estimated, which helps in achieving identi cation.