A Guide to Longitudinal Program Impact Evaluation

2014 ◽  
Author(s):  
Gustavo Angeles ◽  
Christopher Cronin ◽  
David K. Guilkey ◽  
Peter Michael Lance ◽  
Brian Sullivan
Keyword(s):  
Impact Evaluation ◽  
Program Impact

scholarly journals National Weatherization Assistance Program Impact Evaluation: Weatherization Staff Survey

2015 ◽  
Author(s):  
David Carroll ◽  
Jacqueline Berger ◽  
Carolyn Miller ◽  
Daya Bill Johnson
Keyword(s):  
Impact Evaluation ◽  
Assistance Program ◽  
Program Impact

Program impact evaluation

1990 ◽  
Vol 13 (3) ◽  
pp. 251-265 ◽  
Author(s):  
F.H.Rolf Seringhaus
Keyword(s):  
Impact Evaluation ◽  
Program Impact

Livelihood empowerment against poverty program impact evaluation in Ghana

2014 ◽  
Author(s):  
Sudhanshu Handa ◽  
◽  
Michael Park ◽  
Robert Osei Darko ◽  
Isaac Osei-Akoto ◽  
...  
Keyword(s):  
Impact Evaluation ◽  
Program Impact ◽  
Poverty Program

scholarly journals Modelización de la trayectoria del efecto de programas y políticas: implicaciones para la evaluación

2021 ◽  
Author(s):  
Antonio Matas-Terron
Keyword(s):  
Program Evaluation ◽  
Impact Evaluation ◽  
Visual Analysis ◽  
Google Trends ◽  
The Internet ◽  
Program Impact ◽  
Program Evaluations ◽  
The Relationship ◽  
Over Time

In program evaluation, results could change dramatically depending on the when, it is mainly in impact evaluation. Although it is pretty relevant, only hypothetical proposals have been found in the consulted literature about how interventions effects evolve over time. This paper analyzes the plausibility of those hypothetical proposals. In this sense, it is analyzed the number of consulting on the Internet through Google Trends. In order to develop the method, several assumptions have been made regarding interventions categories and about the relationship between the number of consulting and program impact too. From visual analysis is concluded that the effect on the number of consulting fits to a sigmoidal, leptokurtic, and positive biased function. Eventually, relevance for program evaluations and methodological implications are discussed.

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