Hi, I am a complete novice and dummy when it comes to statistics so I apologise in advance... I have been asked to report the results of my GLMMs (I ran two) in a table. This table must state: effect, standard error, test statistic, and P value, for all fixed effects. Unfortunately I am struggling to read my output. The out put is as follows, if anyone would be kind enough to help I would be very grateful and will know for future reference which bit equates to what (also I have been told my degrees of freedom are different for both the tests, could someone explain why this is?). GLMM 1-run for predictors of step length. Response variable = step length. fixed effects = depth and direction threshold. random factor = individual Models: m2: step ~ (1 | ind) m1: step ~ Depth * threshold + (1 | ind) Df AIC BIC logLik deviance Chisq Chi Df Pr(>Chisq) m2 3 373235 373259 -186615 373229 m1 8 373225 373290 -186605 373209 19.767 5 0.001382 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 GLMM 2 -run to investigate potential predictors of PDBA. response variables = depth and step length. fixed effect = direction threshold. random factor = Individual Models: m3: PDBA ~ Depth + (1 | ind) + thresholdepth m2: PDBA ~ step * threshold + Depth * threshold + (1 | ind) Df AIC BIC logLik deviance Chisq Chi Df Pr(>Chisq) m3 6 -48205 -48157 24109 -48217 m2 11 -48430 -48341 24226 -48452 235.1 5 < 2.2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Models: m4: PDBA ~ step + (1 | ind) + step:threshold m2: PDBA ~ step * threshold + Depth * threshold + (1 | ind) Df AIC BIC logLik deviance Chisq Chi Df Pr(>Chisq) m4 6 -48206 -48158 24109 -48218 m2 11 -48430 -48341 24226 -48452 233.81 5 < 2.2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [[alternative HTML version deleted]]
Hi, I am a complete novice and dummy when it comes to statistics so I apologise in advance... I have been asked to report the results of my GLMMs (I ran two) in a table. This table must state: effect, standard error, test statistic, and P value, for all fixed effects. Unfortunately I am struggling to read my output. The out put is as follows, if anyone would be kind enough to help I would be very grateful and will know for future reference which bit equates to what (also I have been told my degrees of freedom are different for both the tests, could someone explain why this is?). GLMM 1-run for predictors of step length. Response variable = step length. fixed effects = depth and direction threshold. random factor = individual Models: m2: step ~ (1 | ind) m1: step ~ Depth * threshold + (1 | ind) Df AIC BIC logLik deviance Chisq Chi Df Pr(>Chisq) m2 3 373235 373259 -186615 373229 m1 8 373225 373290 -186605 373209 19.767 5 0.001382 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 GLMM 2 -run to investigate potential predictors of PDBA. response variables = depth and step length. fixed effect = direction threshold. random factor = Individual Models: m3: PDBA ~ Depth + (1 | ind) + thresholdepth m2: PDBA ~ step * threshold + Depth * threshold + (1 | ind) Df AIC BIC logLik deviance Chisq Chi Df Pr(>Chisq) m3 6 -48205 -48157 24109 -48217 m2 11 -48430 -48341 24226 -48452 235.1 5 < 2.2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Models: m4: PDBA ~ step + (1 | ind) + step:threshold m2: PDBA ~ step * threshold + Depth * threshold + (1 | ind) Df AIC BIC logLik deviance Chisq Chi Df Pr(>Chisq) m4 6 -48206 -48158 24109 -48218 m2 11 -48430 -48341 24226 -48452 233.81 5 < 2.2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 [[alternative HTML version deleted]]