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Control indices provide information regarding response patterns; nonetheless, the possibility to rely on control indices does not alleviate the question of other sources of biases (e.g., biases related to data collection, which are beyond the scope of this paper). Because the definition of acceptable conditions largely depends on the test used, proposing absolute values for each index is of little relevance; this is why precise values will only be provided regarding response coherence, reliability, modality, and normativity. They can be summarized in the following questions: Do the results meet basic technical requirements for functional modeling? In order to check this point, two sub-questions should be asked: Is the response variability high enough? As previously stated, results with little variance result from information retention; they are thus totally unusable. Is the response level well within the norms? If not, this may result from extreme response biases (e.g., acquiescence or opposition), and cause Ramoplanin problems regarding data homoscedasticity; this may lead to calculable but deceptive results. Can the response strategy be regarded as valid? In order to determine this is so, three questions needs to be formulated: Is the response reliability high enough? If not, this suggests either random answering, carelessness, inattention, or comprehension problems. In any case, this will lead to misleading results that should not be interpreted. According to Capel (2009), response reliability should be over 0.70 in order to consider test results reliable; response reliabilities between 0.50 and 0.70 highlight questionable results; and response reliability under 0.50 indicates unreliable results. Is the response coherence high enough? If not, this corresponds to unusual or even abnormal response strategies; this can be caused by problems in understanding the items, but can also be related to immaturity (Capel, 2009). Because response coherence is equal to the root square of an R2 coefficient, acceptable values depend largely of the number of retained factors. Yet, for a 5-factor personality inventory, Gendre and Capel (2013) propose to consider response coherences lower than 0.40 as unsatisfactory. In such cases, this should be discussed with the subject in order to identify whether s/he understood the items; in this specific case, results should not be interpreted. Is the response coherence too high? For a 5-factor personality inventory, values above 0.75 should be considered as too high (Gendre and Capel, 2013).