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fully developed in the biological sciences, where they were used in studies of the size and health of plants, animals, and humans In the behavioral sciences, growth curve analyses have routinely been applied to a wide range of phenomena from experimental learning curves, to the growth and decline of intellectual abilities and academic achievements, to changes in other psychological traits over the full life span These formal models for the analysis of growth curves have been developed in many different substantive domains, but all share a common goal to examine and uncover a fundamental set of regularity conditions, or basic functions, responsible for the manifest growth and change The goals of these models were organized in terms of ve objectives of longitudinal research and described by Baltes and Nesselroade (1979, pp 21 27) using the following enumeration: 1 The direct identi cation of intra- (within-) individual change 2.

Boring, E G (1967) Titchener s experimentalists Journal of the History of the Behavioral Sciences, 3, 315 325 Brody, E B (2000) World Federation for Mental Health In A E Kazdin (Ed), Encyclopedia of psychology (Vol 8, pp 284 285) Washington, DC: American Psychological Association Bunn, G (2000) A short history of the British Psychological Society http://wwwbpsorguk/about/historycfm Capshew, J H (1999) Psychologists on the march: Science, practice, and professional identity, 1929 1969 New York: Cambridge University Press Capshew, J H, & Hilgard, E R (1992) The power of service: World War II and professional reform in the American Psychological Association In R B Evans, V S Sexton, & T C Cadwallader (Eds), The American Psychological Association: A historical perspective (pp 149 175) Washington, DC: American Psychological Association Capshew, J H, & Laszlo, A C (1986).

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The direct identi cation of inter- (between-) individual differences in intra-individual change 3 The analysis of interrelationships in change 4 The analysis of causes (determinants) of intra-individual change 5 The analysis of causes (determinants) of interindividual differences in intra-individual change In this chapter, growth curve analyses are related to these objectives of longitudinal research In current statistical methodology, intra-individual is termed within-person and interindividual is termed between-person, but these remain the essential goals of most longitudinal data analyses (eg, Campbell, 1988; McArdle & Bell, 2000) This chapter is organized into the following sections: (a) an introduction to growth curves, (b) linear models of growth, (c) multiple groups in growth curve models, (d) aspects of dynamic theory for growth models, and (e) multiple variables in growth curve analyses The chapter then concludes with a discussion of future issues raised by the current growth models.

In all sections we try to present historical perspective to illustrate different kinds of mathematical and statistical issues for the analyses of these data The growth curve models are presented in basic algebraic detail, but this presentation is not intended to be overly technical Instead, we focus on the mathematical formulation, statistical estimation, and substantive interpretation of latent growth curve analyses This focus allows us to show a range of new models and examine why some classical data analysis problems, such as the calculation of difference scores or the unreliability of errors of measurements, are no longer impediments.

We would not take no for an answer: Women psychologists and gender politics during World War II Journal of Social Issues, 42, 157 180 Carlson, H S (1978) The AASPB story: The beginnings and rst 16 years of the American Association of State Psychology Boards, 1961 1977 American Psychologist, 33, 486 495 Carrington, E M (1952) History and purposes of the International Council of Women Psychologists American Psychologist, 7, 100 101 Crawford, M P (1992) Rapid growth and change at the American Psychological Association: 1945 1970 In R B Evans, V S Sexton, & T C Cadwallader (Eds), The American Psychological Association: A historical perspective (pp 177 232) Washington, DC: American Psychological Association Dain, N (1980) Clifford W Beers: Advocate for the insane Pittsburgh, PA: University of Pittsburgh Press Davis, J M (2000) International Council of Psychologists In A E Kazdin (Ed), Encyclopedia of psychology (Vol 4, pp.

This chapter reviews a number of emerging topics pertaining to a data-centric view of wireless sensor networks. These topics include data-driven routing, tracking mobile objects, constructing and maintaining reporting trees, dynamic evolution of a monitoring region for moving targets (mobicast), disseminating monitoring tasks, data gathering, receiving reports from a particular area of interest, and sending information and task assignment from a sink to all the sensors inside a geographic region (geocasting). The chapter also discusses various other issues, including sensor training options, data aggregation, data storage, as well as design guidelines for data aggregation and clustering, and rate-based data propagation in wireless sensor networks. 13.1 INTRODUCTION

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