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Concerns about decreasing response rates have led to many nonresponse studies. Unfortunately, usually only a limited amount of data is available on nonrespondents. Linking administrative data makes information available on all the sampled units including nonrespondents. Statistics Netherlands has constructed a database in which several administrative records and several surveys are connected. In this explorative study we use this dataset to look for homogenous groups of respondents and nonrespondents in survey research using latent class cluster analysis. Latent class techniques can provide insight into the problem of selective nonresponse and currently under-represented societal groups. We identify four different latent classes in a recent Dutch survey and replicate the findings for the same survey conducted 4 years later. Two of the types of sampled units have above-average response rates and the other two have below-average response rates. We also evaluate various latent class models with other response outcomes to gain insight into the contact and cooperation process., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Objective: This study investigates the clustering of a broad range of health-compromising and delinquent behaviors. We examine whether these behaviors belong to a single but broad cluster, 'risk-taking behavior', and whether the nature and degree of clustering in adolescents differs from that in adults., Method: A representative sample (N=4395) of the Dutch population aged 12 to 40 (overall response rate 67%), was asked about various health-compromising behaviors, such as alcohol consumption, smoking, illegal drug use, unsafe sexual behavior, physical inactivity, poor nutrition (such as skipping breakfast and not eating fruit and vegetables), poor sleep behavior, unlawful traffic behavior, and delinquent and aggressive behavior. Data were collected from fall 2005 to spring 2006 using internet questionnaires and face-to-face computer-assisted interviews., Results: No single broad cluster was found. Instead, there were several separate but interrelated clusters. The contents of these clusters differed between age groups. For young adolescents (12-15) two clusters were identified: Alcohol and Delinquency. For older adolescents (16-18) and adults (19-40) three clusters were identified: Alcohol, Delinquency and Health., Conclusion: The findings of this study support a more integrated approach to promoting healthier lifestyles, and suggest that the behavior targets of integrated prevention programs should be different for adolescents and adults.