Glossary entry (derived from question below)
English term or phrase:
rim weighting
Arabic translation:
ترجيح بيانات باستخدام اسلوب تكرار عشوائي
Added to glossary by
Wa'ad Younane
Jun 11, 2015 07:21
8 yrs ago
3 viewers *
English term
rim weighting
English to Arabic
Tech/Engineering
Telecom(munications)
survey
Rim-weighting uses a mathematical algorithm to help provide an even distribution of results across the entire dataset while balancing certain categories such as age or gender to pre- determined totals.
Proposed translations
(Arabic)
4 | ترجيح بيانات باستخدام اسلوب تكرار عشوائي | Ramzi Rayahin |
4 | الترجيح الحدي | hassan zekry |
4 | الترجيح بأسلوب التكرار العشوائي | Ibrahim Sabry |
Proposed translations
1 hr
Selected
ترجيح بيانات باستخدام اسلوب تكرار عشوائي
RIM (Random iterative method) weighting
Method of weighting that puts selected non-interlocking and grouped interlocking variables in isolation through an iterative sequence of weighting adjustments. The sequence adjusts for each rim in turn and then repeats itself as many times as is required in order to obtain a convergence, in which the sum of the weighted rims matches the target population estimates, or is as close as it is possible to achieve.
Method of weighting that puts selected non-interlocking and grouped interlocking variables in isolation through an iterative sequence of weighting adjustments. The sequence adjusts for each rim in turn and then repeats itself as many times as is required in order to obtain a convergence, in which the sum of the weighted rims matches the target population estimates, or is as close as it is possible to achieve.
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7 mins
1 hr
الترجيح بأسلوب التكرار العشوائي
The “rim” in rim weighting comes from the acronym for Random Iterative Method. The name may sound complex, but like any kind of weighting, it’s a solution to a fairly straightforward problem – the need to adjust a sample so that it is representative of the target population. This need arises frequently in market research cases where low response to a survey among certain segments leads to a dataset that is not representative of known population characteristics. For example, if a researcher knows that her target population is split evenly among gender lines, yet 65% of the survey responses are from women, she may need to use weighting during the analysis to allow for the skewed response pattern.
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