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The screen capture analysis revealed important exploration pattern of learners, and the interview analysis confirmed the inferences drawn from the analysis of screen captures.
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Such generalization suggests that the inferences drawn from the more detailed analysis, based on bout-and-pause parameter estimates, are not idiosyncratic to the present data, but reflect a more general phenomenon.
Therefore, the analysis presented here is qualitative; inferences drawn from this analysis should be taken as exploratory and provisional, pending empirical verification.
Therefore, the inferences drawn from the results must be considered in light of the relatively small sample size, and the possibility for type II errors in analysis.
Our consensus inference is obtained by cross-examination of the inferences drawn from the three perspectives.
Any inferences drawn from the data could therefore be generalised to the population from which the observers were drawn.
Despite the inference drawn from the statistical analysis, that the population could be divided into several groups, none of the parameter distributions displayed a clear bi- (or multi-) modal structure.
As an additional measure of the accuracy of inferences drawn from analysis of the AFS, we also assessed the coverage of 95% CI based on estimates of uncertainty from the Hessian matrix.
The results from our simulation study agreed with previous work focusing on the impacts of sample size and/or the timing of demographic events on the accuracy of inferences drawn from analysis of the AFS [ 5, 18, 19], in that more ancient demographic events (A parameterizations) typically allowed for increased confidence in model selection and parameter estimation.
Without controlling for general time trends of tree plantation area as well as poverty rates, the inferences drawn from such analysis become critically flawed.
Inferences drawn from a naive analysis and an analysis correcting for measurement error are presented.
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