To answer our second research question (effect-modification) Table 3 first displays the distribution of the macro indicators under study.
The lack of a significant association between transient poverty and the two health indicators under study may therefore reflect this measurement shortcoming.
However, the extent to which different patient groups benefit tends to vary and to be highly dependent on the type and complexity of the indicator(s) under study, the observed patient group, the characteristics of the study (such as design, level of analysis, covariates) and the level of detail of the studied indicators.
For the majority of the observed indicators, all citizens benefit from this improvement, yet the extent to which different patient groups benefit tends to vary and to be highly dependent on the type and complexity of the indicator(s) under study, the observed patient group(s) and the characteristics of the study.
The sample was similar to the most recent UK Census information in 2011 with regards to socio-demographic and socio-economic indicators for the catchment area under study (Office for National Statistics 2011).
As described in Table 1, the sample was similar to the most recent UK Census information in 2001 with regards to demographic and socioeconomic indicators for the catchment area under study, with the exception of this sample being slightly younger and having more students (25.8percentt versus 48.0percentt, not shown).
This study highlighted the reliability of some of the quality degradation indicators embedded in the two models under study and stood for a first step in the evaluation of performance of these indicators to quantify the degradation for which they were designed.
This approach emphasises the need to take detailed assessment of the context (and indeed multiple contexts) in which the trait expression is to be observed and multiple indicators of the type of behaviour under study.
The intra-class correlation which was considered as the repeatability indicator was 0.69 to 0.72 in the domains under study.
Even ifcomments can be strong indicators of involved user participation, the main focus ofthe online service under study is posting and reposting, similarly to Twitter.Therefore we always consider the number of posts as the metric of activity in theefficiency formula.
