TY  - BOOK
AU  - Singer,Judith D.
AU  - Willett,John B.
TI  - Applied longitudinal data analysis : : modeling change and event occurrence / 
SN  - 9780195152968
PY  - 2003///
CY  - Oxford ; , New York : 
PB  - Oxford University Press, 
KW  - Mètode longitudinal
KW  - lemac
KW  - Ciències socials
KW  - Investigació
KW  - popin
KW  - ANÁLISIS LONGITUDINAL
KW  - LONGITUDINAL ANALYSIS
KW  - ANÁLISIS MULTINIVEL
KW  - MULTILEVEL ANALYSIS
KW  - ANÁLISIS DE REGRESIÓN
KW  - REGRESSION ANALYSIS
KW  - INVESTIGACIÓN
KW  - RESEARCH
KW  - CIENCIAS SOCIALES
KW  - SOCIAL SCIENCES
KW  - ESTADÍSTICA
KW  - STATISTICS
KW  - MODELOS
KW  - MODELS
N1  - Inclou referències bibliogràfiques i índex.
N2  - Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. In addition to these natural changes, targeted interventions may cause change: cholesterol levels may decline as a result of a new medication, exam grades may rise following completion of a coaching class. By measuring and charting changes like these - both naturalistic and experimentally induced - researchers uncover the temporal nature of development. The investigation of change has fascinated empirical researchers for generations, and to do it well, they must have longitudinal data. Applied Longitudinal Data Analysis is a much-needed professional book that will instruct readers in the many new methodologies now at their disposal to make the best use of longitudinal data, including both individual growth modelling and survival analysis. Throughout the chapters, the authors employ many cases and examples from a variety of disciplines, covering multilevel models, curvilinear and discontinuous change, in addition to discrete-time hazard models, continuous-time event occurrence, and Cox regression models. Applied Longitudinal Data Analysis is a unique contribution to the literature on research methods and will be useful to a wide range of behavioural and social science researchers
ER  -