Refers generally to making substantive conclusions from the results of a statistical analysis.

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5 views

Interpreting results of mediator analysis

I need help to understand the results of my mediator analysis. The DV was dichotomous, IV and mediator have interval scale. The calculated b's were all significant but when I calculated the β, I got ...
2
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0answers
25 views

Plot and interpret ordinal logistic regression

I have a ordinal dependendent variable, easiness, that ranges from 1 (not easy) to 5 (very easy). Increases in the values of the independent factors are associated with an increased easiness rating. ...
3
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2answers
99 views

How to interpret insignificant categorical variables for logistic regression

I am trying to interpret categorical variables with more than two classes. Some are significant whilst other classes are not. What can I infer from the insignificant ones? Does this mean the ...
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0answers
13 views

How can I interpret the results of LSA?

I implemented LSA on MATLAB. I have a $D\times N$ term-document matrix, where $D$: # of words, $N$: # of docs. I did low-rank approximation using SVD, and got $$X_k = U_k \cdot S_k \cdot V_k' ...
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0answers
10 views

Comparing Overlapping Percentages

I observed how frequently participants exhibited five specific behaviors during testing. The total of the below percentages exceeds 100%, because some participants (30.43% of the sample) exhibited ...
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4answers
64 views

How to interpret a regression that includes GDP, GDP per capita, and population

While GDP per capita = GDP / population and are obviously related, these three measurements are not perfectly collinear and can be included in OLS just fine. ...
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1answer
29 views

Ways to simplify a neural network in R for interpretation

I would like to try to make some sense of a neural network. The neural network has a single hidden layer and is used on 30-40 attributes, which are used to classify the probability that the ...
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0answers
56 views

Reading the output from a GLMM run in R

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, ...
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1answer
36 views

Interpreting a significant 2-way interaction with post-hoc tests

I'm analyzing reaction time data from a repeated measures ANOVA with the following design: Factor 1 (between-group): GROUP (controls, clinical) Factor 2 ...
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1answer
72 views

Why does using residuals as predictor not alter coefficient?

I am working with a data set describing a set of US Senators, their votes on a climate bill, and several characteristics of the state they represent. One of the variables, 'imptot', describes the ...
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2answers
133 views

Variance-Covariance matrix interpretation

Assume we have a linear model Model1 and vcov(Model1) gives the following matrix: ...
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1answer
68 views

Intercept term in logistic regression

Suppose we have the following logistic regression model: $$\text{logit}(p) = \beta_0+\beta_{1}x_{1} + \beta_{2}x_{2}$$ Is $\beta_0$ the odds of the event when $x_1 = 0$ and $x_2=0$? In other words, ...
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0answers
12 views

Moderation using ANCOVA

I am performing a repeated measures ANCOVA with Mood Scores as the dependent variable, Image Condition as the independent ...
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2answers
69 views

A good source to understand interaction in LMM?

I would like to know more about interaction in LMM using lmer. Can you recommend me any books, articles, websites?
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0answers
43 views

Measure theory interpretation - textbook advice

I have seen the other questions about measure theory book advice, and I don't think any of them fit what I am looking for. The vast majority of measure theory textbooks are (naturally) math-based and ...
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0answers
33 views

How to interpret Box-Cox Transformation [duplicate]

I have used a Box-Behnken experimental design. I have a full quadratic model. However, I had to transform the response, $Y$ for the model to fit; I did this using a Box-Cox transformation with ...
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0answers
44 views

How to interpret output from nparcomp in R

I have skewed data requiring non-parametric tests. Following Kruskal Wallis tests, I want to carry out post-hoc analysis. I have chosen nparcomp within R because of ...
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1answer
62 views

What is the meaning of the beta-coefficient for an interaction term in a crossover study?

I have asked a similar question here: stackoverflow I am puzzled by the interpretation for an interaction term. In my data my Y is an interval variable with the health outcome of an experiment. I have ...
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1answer
36 views

Is it worth reporting small fixed-effect $R^2$ (marginal $R^2$), large model $R^2$ (conditional $R^2$)?

In a mixed model analysis (lme4 + lmerTest for R), I want to analyse the effect of 3 predictors, say A, B and ...
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0answers
48 views

NEED ANOVA HELP ASAP!

I have been looking at my stats results for 4 days now and I cannot figure out how to interpret the results. I conducted a within subjects experiment in which participants rated 4 neutral symbols on ...
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1answer
20 views

Does the first line of interaction output from lmer contain all levels of variables?

I am using LMM from lmer to interpret my data. As the system of its output is dummy, so it should mean that the number of levels is always the same in every line of output. For example, if I have ...
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1answer
64 views

Interpretation of intercept of a regression line in time series data

Does the intercept value of a regression equation have meaning in a time series dataset? Suppose I have a dataset: the intercept is 27.512, but we are 95 percent sure that the intercept is between ...
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1answer
19 views

Interpretation of interaction term in R lm(): .L .Q [duplicate]

I ran a regression in which I have an interaction term of two factor variables. The one of the variables has 2 levels: Condition_A & Condition_B (therefore the first one is the reference ...
2
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0answers
22 views

Autoregressive Markov chain simulation and the likelihood ratio test for Markov property

I am trying to estimate a Markov chain of second order (Markov chain that fulfills $P[X_t|X_{t-1},X_{t-2}]=P[X_t|X_{t-1},X_{t-2},...,X_{t-p}]$) using an AR(2) process. Once I have simulated the ...
2
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1answer
76 views

Help interpreting logistic regression

I'm new to R and logistic regression and have to admit that I don't really know how to interpret the result. I'm trying to compute a pretty simple model with 2 predictors (A and B). When I first try ...
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0answers
28 views

one-way MANOVA effect size interpretation

I'm having problem understanding effect sizes in one-way MANOVA model. In my case, I'm having a 13 variables which I used for clustering and then the produced ...
2
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1answer
129 views

Interpreting Principal Component Analysis output

If I have 50 variables in my PCA, I get a matrix of eigenvectors and eigenvalues out (I am using the MATLAB function eig). I have normalised the eigenvalues to sum ...
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1answer
39 views

Interpreting negative coordinates and origin in 2D correspondence analysis plot [duplicate]

Why are there negative values in the range of the plot? How is the center of the plot (i.e., the $0.0$ point) found? How did the black-brown points end up in the third quadrant of the plot? ...
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0answers
34 views

Conversion rate clarification

This is a very simple question, but for some reason I cannot wrap my head around it... It's actually a bit weird because it's so simple that I'm kind of laughing that it's not making sense. On my ...
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1answer
18 views

Interpretation of logloss value

Does anyone have a interpretation of a logloss value? Am I correct to assume that values closer to 0 and 1 are more likely to be an indication that the predicted value is incorrect? Thanks.
3
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1answer
77 views

Why does the standard error of the intercept increase the further $\bar x$ is from 0?

The standard error of the intercept term ($\hat{\beta}_0$) in $y=\beta_1x+\beta_0+\varepsilon$ is given by $$SE(\hat{\beta}_0)^2 = ...
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0answers
20 views

Reference level and Interpretation

Suppose that we have a categorical variable $X$ that can take three values: $0$, $1$, or $2$. We use $X=0$ as the reference level. The following dummy variables are created: $$X_1 = 1 \ \text{if} \ ...
2
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1answer
61 views

Interpretation of ordinal logistic regression

I ran this ordinal logistic regression in R: mtcars_ordinal <- polr(as.factor(carb) ~ mpg, mtcars) I got this summary of the model: ...
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1answer
57 views

How to interpret regression estimates

I am studying the effect a certain chemical and age on an outcome. As variables, age is a factor of with levels 1, 2, and 3 and ...
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1answer
28 views

Coefficient marginal to interactions in linear regression

Consider this model: $$y = \beta_0 +\beta_1x_1 + \beta_2x_2 + \beta_3x_1x_2 + \varepsilon$$ Somebody told me today that the coefficient for the main effect of $x_1$ (i.e., $\beta_1$) will be ...
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1answer
21 views

Interpretation of point-biserial correlation

How can I interpret point-biserial correlation? If the results give me a positive and significant correlation, how should I interpret it? Should I say that the variable category that I coded 1 is ...
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2answers
67 views

Interpreting significance when regression coefficients are combined

Suppose we have the following regression, with Sun=0 for partial sun and Sun=1 for full sun: Plant Height = a0 + a1*Bacteria + a2*Sun + a3*Bacteria*Sun And here ...
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0answers
30 views

How to visualize an interaction from a GLMM: use whole model to obtain predicted values or just factors in the interaction?

I need to plot an interaction between two continuous factors for interpretation. I am using the wireframe function in the lattice package and plotting the predicted values from the model with the best ...
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0answers
43 views

Segmented regression in R: interpreting the other coefficients

I am running segmented regression using the R package 'segmented'. The original binomial logistic regression has two coefficients, approach_km (continuous), and sea (dichotomous) that explain the ...
3
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1answer
170 views

How to interpret Cochran-Mantel-Haenszel test?

I'm testing the independence of two variables, A and B, stratified by C. A and B are binary variables and C is categorical (5 values). Running Fisher's exact test for A and B (all strata combined), I ...
3
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2answers
85 views

Interpreting the sample mean, $\bar y$

I have a hypothetical population that contains the values $2,3,4,5,6,7,8,9$. I have to draw a sample of size $4$ from that given population. So I have $\binom{8}{4}=70$ ways to draw the sample. I ...
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0answers
106 views

What do the tests of model effects and parameter estimates really tell (when an interaction is defined)?

A couple of times in LMM or GEE (with SPSS, though I doubt that matters – and might occur in other analyses as well, but these are the ones with which I have seen it) I have seen something that seems ...
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1answer
44 views

Which Models to prefer

(Model1) . reg lnQ lnL lnK COOP ...
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0answers
35 views

Generalized estimating equations, correct use and interpretation (SPSS)

I am trying to predict a choice (which software will the participants use?) using the psychological measurements taken when the participants tried out the four possibilities. I have used linear mixed ...
3
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1answer
84 views

Interpreting box plots with one whisker [duplicate]

I have done a boxplot to represent my claim frequency. However make 2 and 4 have only 1 whisker. How do I interpret that?
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0answers
49 views

How to interpret the results from random coefficient Poisson data analysis

I have fitted random coefficient Poisson analysis in R. I have obtained the following results: Generalized linear mixed model fit by maximum likelihood ['glmerMod'] Family: poisson ( log ) Formula: ...
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1answer
137 views

How to interpret 2-way and 3-way interaction in lmer?

I have a problem with interpreting 2-way and 3-way interactions in lmer. My DV is height which is a continuous variable. All IVs are categorical variables. The first factor is animal, either rat or ...
2
votes
1answer
100 views

Interpreting interaction effect in a Tobit model

I have estimated the following model on Stata 13: tobit y x1 x2 x1x2 where: $y$ is aid spending by a charity in a developing country $x_1$ is GDP per capita of ...