Information Journal Paper
APA:
CopyNEWMAN, D.. (2003). LONGITUDINAL MODELING WITH RANDOMLY AND SYSTEMATICALLY MISSING DATA: A SIMULATION OF AD HOC, MAXIMUM LIKELIHOOD AND MULTIPLE IMPUTATION TECHNIQUES. ORGANIZATIONAL RESEARCH METHODS, 6(3), 328-362. SID. https://sid.ir/paper/600408/en
Vancouver:
CopyNEWMAN D.. LONGITUDINAL MODELING WITH RANDOMLY AND SYSTEMATICALLY MISSING DATA: A SIMULATION OF AD HOC, MAXIMUM LIKELIHOOD AND MULTIPLE IMPUTATION TECHNIQUES. ORGANIZATIONAL RESEARCH METHODS[Internet]. 2003;6(3):328-362. Available from: https://sid.ir/paper/600408/en
IEEE:
CopyD. NEWMAN, “LONGITUDINAL MODELING WITH RANDOMLY AND SYSTEMATICALLY MISSING DATA: A SIMULATION OF AD HOC, MAXIMUM LIKELIHOOD AND MULTIPLE IMPUTATION TECHNIQUES,” ORGANIZATIONAL RESEARCH METHODS, vol. 6, no. 3, pp. 328–362, 2003, [Online]. Available: https://sid.ir/paper/600408/en