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In analyses of correlations between behaviour and cognition we used the average of a behavioural variable (Tmove, Fwalls, PatDiff, PatOcc) from the 2 days nearest to the day on which the relevant cognitive data were collected.
2) Produce a probability estimate of whether the cases are linked given their behavioural variable values.
In this study, newly-designed data analysis was employed to examine the flies' solitary behavioural variable that was recorded at the flight simulator yaw torque.
Bayesian approach 1) Keep each behavioural variable (in both the database and the cases themselves) as an individual unit of information, and evaluate the case information using Bayesian reasoning.
For each model, we applied stepwise model selection to identify the subset of traits that best predicted each behavioural variable.
Instead of analysing each behavioural variable independently, we used a multivariate analysis of variance with repeated measures (MANOVAR, [28] [29]) to test for behavioural changes between the second and the third step of the experiment.
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Social behavioural factors were still better predictors than social psychological variables, but the correlations between social behavioural variables and health risk behaviours are weaker.
The goal of this study is to examine the relationship between social psychological and social behavioural variables and health risk behaviours among Hungarian high school students.
The goal of our study is to examine the role of social psychological and social behavioural variables in health risk behaviours among Hungarian adolescents.
Model 1 tested the relationship between awakening time and suicide-related behaviours, adjusted for socioeconomic, health risk and behavioural variables.
Model 2 tested the relationship between bedtime and suicide-related behaviours, adjusted for socioeconomic, health risk and behavioural variables.
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