000			01504naa a2200193uu 4500
001			8465
003			OSt
005			20190211154454.0
008			021120s2005 xx ||||gr |0|| 0 eng d
100	1		_aHEINRICH, Carolyn J _94702
245	1	0	_aMeans and ends : _ba comparative study of empirical methods for investigating governance adn performance
260			_c2001
520	3		_aScholars employ a wide range of empirical approaches to understand how, why, and with what consequences government is organized and managed. We review recent statistical modeling efforts in governance research and assess recent advances in quantitative research designs. We then estimate models of government performance, using three statistical approaches: multilevel (hierarchical linear) models;ordinary least squares (OLS) regression models using individual level data; and OLS models using outcome measures aggregated at the site or administrator level. We show that multilevel approaches produce a fuller and more precise understanding of complex, hierarchical relationship in government, more information about the amount of variation explained by statistical models at different levels of administration, and increased generalization of findings across different sites or organizations
700	1		_aLYNN, Laurance E., Jr _917763
773	0	8	_tJournal of Public Administration _g11, 1, p. 109-138 _d, 2001 _w
942			_cS
998			_a20021120 _bCassio _cCassio
998			_a20060619 _b1132^b _cQuiteria
999			_aConvertido do Formato PHL _bPHL2MARC21 1.1 _c8610 _d8610
041			_aeng