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, Mitchell, J E, & Dahlgren, L A (1986) Prevalence of smoking among psychiatric outpatients American Journal of Psychiatry, 143(8), 993 997 Hughes, J R, Stead, L F, & Lancaster, T (2001) Antidepressants for smoking cessation Cochrane Database of Systematic Reviews, 2, CD000031 Hurt, R D, Sachs, D P, Glover, E D, Offord, K P, Johnston, J A, Dale, L C, et al (1997) A comparison of sustainedrelease bupropion and placebo for smoking cessation New England Journal of Medicine, 337(17), 1195 1202 Idle, J R (1990) Titrating exposure to tobacco smoke using cotinine: A mine eld of misunderstandings Journal of Clinical Epidemiology, 43(4), 313 317 Imperato, A, Mulas, A, & Di Chiara, G (1986) Nicotine preferentially stimulates dopamine release in the limbic system of freely moving rats European Journal of Pharmacology, 132(2/3), 337 338..

Here I briefly discuss a number of complications associated with the available data that may complicate the estimation process Maximum Likelihood and Violations of Multivariate Normality Although various estimation procedures are available in most CFA /SEM statistical packages, maximum likelihood (ML) is the most widely used A potentially important limitation of ML is that it assumes multivariate normality an assumption that is almost never satisfied in sport and exercise psychology Similarly, violations of multivariate normality may result from the use of ordered categorical variables, such as responses to Likert response scales, rather than continuous variables Fortunately, ML estimation procedures are robust in relation to violations of normality, particularly in relation to parameter estimates factor loadings, factor correlations, path coefficients, and so on (Boomsma, 1982; Hau & Marsh, 2004; Hu, Bentler, & Kano, 1992; J reskog & S rbom, 1988; B.

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The prototype as a construct in abnormal psychology: I A method for deriving prototypes Journal of Abnormal Psychology, 90(6), 568 574 Korfine, L, & Lenzenweger, M F (1995) The taxonicity of schizotypy: A replication Journal of Abnormal Psychology, 104, 26 31 Lenzenweger, M F (1999) Stability and change in personality disorder features: The Longitudinal Study of Personality Disorders Archives of General Psychiatry, 56(11), 1009 1015 Lewczyk, C M, Garland, A F, Hurlburt, M S, Gearity, J, & Hough, R L (2003) Comparing DISC-IV and clinician diagnoses among youths receiving public mental health services Journal of the American Academy of Child and Adolescent Psychiatry, 42(3), 349 356 Livesley, W J, & Jackson, D N (1986) The internal consistency and factorial structure of behaviors judged to be associated with DSM-III personality disorders American Journal of Psychiatry, 143(11), 1473 1474 Livesley, W J, & Jang, K.

budgeted at 8.148 mAh of power consumption daily. However, sensor motes consume 30 mA in their sleep state [21]. This reduced the daily energy budget to 6.9 mAh available for sensing, communicating, and processing operations. The application was responsible for determining how this energy budget was to be allocated. Without any energy budgeting, a sensor mote operating at a 100% duty cycle can only operate for 7 days [21]. 1.3.4.2 Architecture The wireless sensor network architecture is divided into distinct tiers (Fig. 1.7). The lowest level consists of autonomous motes, equipped with various sensors, that perform basic networking, computing, and sensing tasks. They are organized into a local one-hop network and collectively identi ed as a sensor patch. One of the sensor motes within the sensor patch serves as a gateway between the sensor patch and the base station. It differs from other motes in that it is equipped with a high-gain antenna able to transmit data over a 350-foot link to the base station. The gateway node is also equipped with a solar panel and rechargeable battery in order to be able to operate with a 100% duty cycle. Data relayed to the base station are stored in a database and made available over the Internet.

L (2000) Toward an empirically based classification of personality disorder Journal of Personality Disorders, 14(2), 137 151 Meehl, P E (1995) Bootstraps taxometrics: Solving the classification problem in psychopathology American Psychologist, 50(4), 266 275 Millon, T (1969) Modern psychopathology: A biosocial approach to maladaptive learning and functioning Philadelphia: Saunders Millon, T (1986) A theoretical derivation of pathological personalities In G L Klerman (Ed), Contemporary directions in psychopathology: Toward the DSM-IV New York: Guilford Press Millon, T (1990) Toward a new psychology New York: Wiley Millon, T, & Davis, R D (1996) An evolutionary theory of personality disorders In J F Clarkin & M F Lenzenweger (Eds), Major theories of personality disorder (pp 221 346) New York: Guilford Press Morey, L C, & Ochoa, E S (1989) An investigation of adherence to diagnostic criteria: Clinical diagnosis of the DSM-III personality disorders.

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Journal of Personality Disorders, 3(3), 180 192 Nakash-Eisikovits, O, Dutra, L, & Westen, D (2002) The relationship between attachment patterns and personality pathology in adolescents Journal of the American Academy of Child & Adolescent Psychiatry, 41(9), 1111 1123 Oldham, J, & Skodol, A (2000) Charting the future of Axis II Journal of Personality Disorders, 14(1), 17 29 Robins, E, & Guze, S (1970) The establishment of diagnostic validity in psychiatric illness: Its application to schizophrenia American Journal of Psychiatry, 126, 983 987 Rosch, E, & Lloyd, B B (Eds) (1978) Cognition and categorization Hillsdale, NJ: Erlbaum Rosch, E, & Mervis, C B (1975) Family resemblances: Studies in the internal structure of categories Cognitive Psychology, 7(4), 573 605..

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