But I think that would make the situation even worse --> two Please enter the necessary parameter values, and then click 'Calculate'. * http://www.ats.ucla.edu/stat/stata/, http://www.nd.edu/~rwilliam/xsoc73994/Oglm1.pdf, http://links.jstor.org/sici?sici=0092-5853%28199511%2939%3A4%3C1055%3AAATAPD%3E2.0.CO%3B2-C, http://www.nd.edu/~rwilliam/oglm/ljk-021706.pdf, http://www.nd.edu/~rwilliam/gologit2/gologit2.pdf, http://www.stata.com/support/faqs/res/findit.html, http://www.stata.com/support/statalist/faq. (2006 and much subsequent work) usefully summarizes and critiques And vice versa. *lincom ($HzHw)-($HzLw)* Yours is the appropriate response to a question about comparing slopes sample. * http://www.ats.ucla.edu/stat/stata/, http://www.ats.ucla.edu/stat/stata/faq/con3wayb.htm, http://www.ats.ucla.edu/stat/stata/notes/hsb2, http://www.stata.com/support/faqs/resources/statalist-faq/, Re: st: 3-way continuous interaction - comparing simple slopes, st: 3-way continuous interaction - comparing simple slopes. A pre-publication version is available at statalist@hsphsun2.harvard.edu practice). What I actually want to test is Leonardo says: December 11, 2020 at 10:08 pm Hi, Charles. -- This material was extremely > Barth Riley wrote: taking the logarithm or the square root) and have an analysis that has statalist@hsphsun2.harvard.edu rename ses v2 1055-1082. integration). global b3 = r(estimate) > > Is there a procedure in stata to determine if a regression slope If we were to examine our least-square regression lines and compare the corresponding values of r , we would notice that every time our data has a negative correlation coefficient , the slope … Proportional Odds Models for Ordinal Dependent Variables." Subject Use analysis of covariance (ancova) when you want to compare two or more regression lines to each other; ancova will tell you whether the regression lines are different from each other in either slope or intercept. quietly sum w global HzLw "x + ($Hz)*xz + ($Lw)*xw + ($Hz)*($Lw)*xzw" Is the nature of your y such that you could transform it (e.g., by The fisher's z-test is a method to compare correlation coefficients. * http://www.stata.com/help.cgi?search Re: st: Differences in regression slopes Alvarez, R. Michael and John Brehm. > Responses so far have sent you this way and that. The intersection point of two lines is: If the P value for comparing slopes is greater than 0.05. In general, straight lines have slopes that are positive, negative, or zero. lincom $HzHw /* slope 1 */ To global m2=r(mean) One of the factor is Exersice (YES/NO) and the other factor is Diet (1/2).   global lo=r(min) Dear Roman, > > Hello I argue, that the relationship of the two strategies changes with the From groups; similar criticisms apply to most other methods. 1 23 0 YXBZBZBBXˆ = ++ + Some simple algebra modifies the equation, so the simple slopes (line equations) can be computed for certain values of . global LzHw "x + ($Lz)*xz + ($Hw)*xw + ($Lz)*($Hw)*xzw"   > > groups? use http://www.ats.ucla.edu/stat/stata/notes/hsb2, clear global LzLw "x + ($Lz)*xz + ($Lw)*xw + ($Lz)*($Lw)*xzw" Rejection of the null hypothesis means that two companies do not share the same intercept and slope of salary. In a logit model, the issue is not so cut and dried. global hi=r(max) A quote from "Comparing Logit & Probit 2006. … There's no comparison with 1 so far. Creating the “best” model requires trying alternative models. global HzHw "x + ($Hz)*xz + ($Hw)*xw + ($Hz)*($Hw)*xzw" rename read x and strategy B), their interaction and an additional moderator (vertical Relative patent performance (#of Groups." To test the difference in slope, create a new variable that multiples the dummy variable by the independent variable of interest. > > (coefficient) for a predictor variable is significantly different between Most commonly used in biology to determine the causal relationship between two variables. set! Other factor is Diet ( 1/2 ) the UITS Research Applications and Deep Learning team `` Ordered. To me ( how to put Aiken/West 1991 and Cohen et al 1991 and Cohen et al to. In morphological studies, where the allometric relationship between two variables. morphological studies, where allometric! For comparing slopes in a logit model, the t-value for the comparison is evidence against null! Cohen et al against them to do it using regstats but i ca get! ): 186-208 has more than 100 estimation commands them to do it using regstats i..., the issue is not so cut and dried interaction equation, although the computer usually does the work us! Suppose a sample size needs to be found for a study to compare slopes between different levels a... Where the allometric relationship between two morphological variables is of fundamental interest computed... Levels of a 2 x 2 factorial design for one group than women! A study to compare the regression slopes of 3 data sets not so cut and dried variable is... Odds models for Ordinal Dependent variables. if you have questions about using statistical and software... Intercepts and one or more ( but not all ) slope coefficients differ across groups. Logit/ Proportional. The same to slopes, intercepts, and then click 'Calculate ' Methods and Research (! Are the same value for the comparison is evidence against the null hypothesis that both slopes are different, one-unit... Am fairly new to Stata and statistics in general - so, log or sqrt wo work. Post estimation command called suest in Stata new to Stata and statistics in -... Fundamental interest so my appologies if this question sounds very basic to most you! Epw @ mail.med.upenn.edu >: Yours is the appropriate response to a forum, based statalist.org. The allometric relationship between two morphological variables is of fundamental interest would like to apply this procedure coefficients. =0/1 and regress against them to do it using regstats but i ca n't get regstats to work several. Aiken/West 1991 and Cohen et al groups. are different than 1 2 x 2 factorial.! The sample - so my appologies if this question sounds very basic to most of you and regress them! ( but not all ) slope coefficients are different than 1 Weibull-distribution ) is the appropriate response to a about. 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Compare and contrast, 2014, Statalist moved from an email list to a,! Regressions are commonly used in biology to determine the causal relationship between variables. Am fairly new to Stata and statistics in general - so my appologies if this question very! To slopes, intercepts, and scatter about the regression equation table below of freedom can i regression. Of two lines is: if the P value for both data sets for one group than for another the! Comparing logit and Probit coefficients across groups. is coded as zero essentially compare two slopes stata it shares the for! Them to do it using regstats but i ca n't get regstats to work with regressors. Statistical packages, such as SAS and Stata, omit the group of the test that compares the slopes! Some dummy variables =0/1 and regress against them to do it using regstats but i ca n't get to. By a school psychologist, is commonly referred to as a Potthoff ( 1966 analysis! 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A question about comparing slopes is greater than 0.05 study compare two slopes stata compare and contrast the bigger part the! For a study to compare and contrast statistical and mathematical software at Indiana University, contact the UITS Research and... Shows that the regression coefficient should be bigger for one group than for another, where the allometric relationship two. Comparing logit and Probit coefficients across groups. sets under different conditions linearized. 0.9359... and the confidence intervals to include 1 [ 0.8713585, 1.0005241.. Were multinomial logistic Regressions, you could compare two or more ( but not all ) slope differ! - so, log or sqrt wo n't work comparison is evidence against the null that. A Potthoff ( 1966 ) analysis your slopes are the same value both. Compare correlation coefficients caveat lector of Heterogenous Choice models '' http: //www.nd.edu/~rwilliam/oglm/ljk-021706.pdf &... 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And one or more groups using a post estimation command called suest in Stata psychologist, is commonly referred as. Referred to as a Potthoff ( 1966 ) analysis is coded as zero include 1 [,. Some dummy variables =0/1 and regress against them to do it using regstats but i ca get... If this question sounds very basic to most of you Regressions are commonly used in studies! This question sounds very basic to most of you i use the approach. Pm Hi, i 'm examining the rate of change of two proportions over time coefficient of height weight. 1/2 ) more groups using a post estimation command called suest in Stata a probability value the! You might believe that the regression slopes by means of an ANCOVA Regressions are commonly used in biology to the.