1980
DOI: 10.1016/0149-7189(80)90042-7
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Avoiding type III error in program evaluation

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Cited by 224 publications
(140 citation statements)
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“…As to the degree of implementation, the emphasis in intervention studies is mostly placed on effectiveness (48). This may increase the risk for type-III-error, namely to assume that there is no effect of an intervention when actually the intervention was not fully implemented as planned (49). To gain insight into the degree of implementation, a process evaluation was conducted alongside the evaluation of the Vital@Work intervention (50).…”
Section: Strijk Et Almentioning
confidence: 99%
“…As to the degree of implementation, the emphasis in intervention studies is mostly placed on effectiveness (48). This may increase the risk for type-III-error, namely to assume that there is no effect of an intervention when actually the intervention was not fully implemented as planned (49). To gain insight into the degree of implementation, a process evaluation was conducted alongside the evaluation of the Vital@Work intervention (50).…”
Section: Strijk Et Almentioning
confidence: 99%
“…Not recognizing this can lead to what Diane Dobson and Thomas Cook call ''type III errors,'' or evaluating interventions that one assumes were implemented properly when they were actually inappropriately carried out or were never truly implemented. 83 Similar to the need for formative evaluation, collecting and integrating a variety of data can inform program design and revision decisions. The qualitative information from focus groups and interviews provides important input into the selection and revision of change methods, recruitment and retention strategies, and program effects from the consumer's perspective.…”
Section: Promoting Resilience In Children 357mentioning
confidence: 99%
“…As a consequence, potentially effective programs may be discontinued due to findings of no or negative effects, when the results are not the consequence of an intervention not being effective, but rather that the program was not delivered properly, or at all (Dobson and Cook 1980, p. 270). In the context of quantitative impact evaluations, we are often concerned with type I and type II errors, and in a similar vein measuring something that does not exist has been described as committing a type III error (Scanlon et al 1977, p. 36, cited in Dobson andCook 1980). …”
Section: Methodsological Concernsmentioning
confidence: 99%