Reading output from GLMM run in R

#1
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) + threshold:Depth
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
 
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