![]() ![]() In this formula the Z i values are the Z-scores of the measures used to compute the summary score. Below is the formula we use for weighted composite scores: Composite=∑ w i Z i A weighted composite score is computed by multiplying each Z-score by its measure weight and adding them up. ![]() Weighted composites of the Z-scores for individual measures are calculated where the weights represent relative importance of the different measures. Some college (post-secondary education).The ranked measures that are reverse coded in this manner are: For these measures, Z-scores are multiplied by -1, so that higher scores indicate worse health. This is taken into account before computing summary scores. However, for some measures (e.g., high school completion) a higher Z-score indicates better health, or a more desirable value. Reverse codingįor most of the measures, a higher Z-score indicates worse health (e.g., more years of potential life lost before age 75). For counties with a population of 20,000 or less, any z-score that is 3.0 is truncated to -3.0 or 3.0, respectively. For example, if a county has a Z-score on a measure of 1.2 that means the county is 1.2 standard deviations above the state average of counties for that measure. A positive Z-score indicates a measure value higher than the average of counties in that state a negative Z-score indicates a measure value for that county lower than the average of counties in that state. (Standard Deviation of Counties in State)Įach Z-score is relative to the other counties in that state-not compared to an absolute standard-and shown in the metric of standard deviations. We refer to these as Z-scores where: Z = (County Value) - (Average of Counties in State) Standardizing each of these measures transforms them to the same metric - with a mean (average) value of 0 and a standard deviation (measure of spread) of 1. The measures are in a number of different scales - some are percentages, some are rates, some are averages of survey responses, or other metrics. You should wear a well-fitting mask around others for 10 days from the date of your last close contact with someone with COVID-19 (the date of last close contact is considered day 0).Each measure within each state is standardized to the average of counties in that state. If you tested positive for COVID-19 with a viral test within the previous 90 days and subsequently recovered and remain without COVID-19 symptoms, you do not need to quarantine or get tested after close contact. If you test positive or develop COVID-19 symptoms, isolate from other people and follow recommendations in the Isolation section below. Get tested at least 5 days after you last had close contact with someone with COVID-19. You should wear a well-fitting mask around others for 10 days from the date of your last close contact with someone with COVID-19 (the date of last close contact is considered day 0). You had confirmed COVID-19 within the last 90 days (meaning you tested positive using a viral test).You are up to date with your COVID-19 vaccines.If you had close contact with someone with COVID-19 and you are in one of the following groups, you do not need to quarantine. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |