Anybody here know stats? Stuff like ML Logistic Models, unstandardized coefficients (b), OLS, bivariate tests of significance, multiple regression and so on? I need help badly. Please pm if you know statistics.
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It's okay, meinoo vi thora thora hi aandaa ai. Anyone else?
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chaloo veii agayy hoo k dasso if anybodyy nnozzz
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Okay I can help you in this matter what help you need?
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Sarah I'm new here so I cant send Private mesage to you there Please send me your problems I wil try my best to help you.
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Sarah, I know quite a lot about Statistics and in particular logistic models / beta's / p-value's etc.
(are you working in SPSS or Excel?)
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Thank you so much guys, I will get back to you in a day. Nescio, I have to talk about some tables from a juvenile delinquency study. They are kind of confusing because of the stats, which I don't know that well.
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sure... post your queries here and we'll try to help.
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Sarah, just ask. I think I should be able to answer your question(s) :o
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In the ML Logistic Models in Sampson and Laub, the unstandardized coefficients (b’s) are the logs of the odds ratios predicting the likelihood of some outcome such as arrest or crime. If we transform the b to its exponent, we determine the multiplicative effect of the coefficient on the outcome. Suppose that the exponent (“exp(b)”) was 1.69 and it referred to the effect if family size on the probability of arrest. How would you interpret 1.69? “Controlling for all other variables in the equation…”
There are different types of regression equations depending on the distribution of the dependent variable. Imagine a distribution of the values of an outcome (such as the number of beers consumed after an exam). Most people have none, the next largest group of people has one beer, a smaller number have two, an even smaller have three and so on it goes (i.e. a smaller and smaller group has more and more). If that were the dependent variable in a regression mode, what form of regression should we use?
There are different types of regression equations depending on the distribution of the dependent variable. What would be the most appropriate form of regression where the dependent variable is unofficial delinquency (mean of 8.44, SD of 6.67, and a range from 1 to 26)?
]There are different types of regression equations depending on the distribution of the dependent variable. If we are trying to explain the *prevalence of crime in a population in which the measure is simply the presence or absence of a criminal record, what would be the most appropriate form of regression?
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Sarah,
see your PM
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Thank you so much, Nescio.
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oh c’mon… you guys should’ve posted at least the Q&A on here…
now this thread is rendered futile and all those who genuinely wanted to help or learn won’t get to do so 