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Item E showed no correlation (> 0.500) with any of the other items, and weak associations were found for items G and J, these three were therefore not included in the indices (Table 3).
There are three factors that could be regarded as main constraints to a further positive development of the organic fruit and vegetables market, limited supplies, high price differentials to conventional items and weak consumer knowledge about organic products and production methods.
Failures to use a significant proportion of available funds, reallocation of funds between line items and weak procurements systems at the local level and delays in disbursement of funds at the central level create gaps between policy objectives and policy implementation.
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We therefore hypothesize that in a shallow study task, where meaningful links between items and context are weak and incidental, processing items in the orienting task may become detrimental to episodic encoding.
We used Pearson Correlation (two tailed) to assess stronger relationships of items within scales and weaker relationships with items outside of the scale.
Passive apathetic social withdrawal, excitement, hostility and cognitive disorganisation items showed weak and non-significant correlations with their corresponding interview scores, requiring further consideration.
Items' OCCs and ICCs can then be examined, and items with weak discrimination can be identified and can be considered for further item revision, or dropped from further analysis.
Global ratings of Very Good, Good and Weak items, along with ratings of each of the five criteria for the 7 items of the Negative Symptoms subscale were summarized above.
Global ratings of Very Good, Good and Weak items, along with ratings of each of the five criteria for the 16 items of the General Psychopathology subscale are presented in Table 10.
Experiment 2 was our first foray into better approximating an eyewitness situation and the mismatch of faces from study to test mitigated the c2 differences between strong and weak items.
The participants also received as many filler items, based on strong and weak causes and instantiated in the same 12 contents, making a total of 48 trials.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com