Questions tagged [interpretation]

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

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14
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0answers
654 views

Physical/pictoral interpretation of higher-order moments

I'm preparing a presentation about parallel statistics. I plan to illustrate the formulas for distributed computation of the mean and variance with examples involving center of gravity and moment of ...
9
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1answer
7k views

How to interpret second-stage coefficient in instrumental variables regression with a binary instrument and a binary endogenous variable?

(fairly long post, sorry. It includes lots of background info, so feel free to skip to the question at the bottom.) Intro: I am working on a project where we are trying to identify the effect of a ...
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1answer
4k views

Interpreting odds ratios less than 1 with 3-category outcome

I have a 3-category ordered outcome (food consumption: 1=no food, 2=less food, 3=more food) and a 3-category ordered predictor (food exposure: 3=no time, 2= less time, 1= more time- whereby 3=no time ...
5
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0answers
551 views

Interpretation of glmmPQL() spatial autocorrelation output

I am modeling binominal data with random effects and spatial autocorrelation using MASS::glmmPQL(). Plotting the residual semivariogram of a model fit without ...
5
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0answers
424 views

How do I interpret the random intercepts of a multilevel mixed-effects model?

I am using a three-level mixed-effects model in which: individuals (level 1) are nested in primary sampling units (PSUs) or enumeration areas (level 2) which in turn are nested in countries (...
5
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2k views

Interpretation of biplot in PCA

Blue points all appear in the lower right-hand quadrant in the plane formed by the first two principal components. Is it a good interpretation of the biplot (right panel) to say that blue points are ...
5
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1answer
135 views

Is a logit model with a pseudo-R^2 of less than 0.5 a worse model than a coin toss?

I have recently encountered the remark that if a logit model's pseudo $R^2$ is lower than $0.5$ the result is completely worthless because a coin toss is a better model. Is this interpretation correct?...
5
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2k views

Interpreting MANOVA and redundancy analysis of a canonical correlation analysis

I have done a canonical correlation analysis using the American Community Survey Dataset. The analysis is done between Ancestry and ...
5
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0answers
389 views

Confidence interval for proportions

I have some data like this: id pop var 1 593 51 2 592 31 3 346 20 4 1214 70 5 1063 66 6 1370 71 each ...
4
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0answers
38 views

Best textbook on philosophical background of interpretations (for beginners)

I'm looking for the best textbook teaches basics of statistics for a general researcher (undergraduate) without totally ignoring the mathematical proofs and theories while the main emphasizes is on ...
4
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0answers
637 views

Scale of the correlation coefficient: is “r = .40 is twice as strong as r = .20” allowed/correct?

Some people recommend the following procedure to calculate the mean of several correlation coefficients: transform the coefficients by Fisher's $z$ transformation, calculate the mean of that, and ...
4
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0answers
300 views

How do sufficiency statistics help in the interpretation of regression results?

One of the results why canonical link functions are widely used in GLMs is the existence of sufficiency statistics for the regression parameters, which in turn allow for: ... minimal sufficient ...
4
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0answers
75 views

all regressions: coefficients interpretation

good morning to all, I open this topic with the intention of being useful to me but also to many in my situational. I would like to clarify the "interpretation" of the coefficients in the regression. ...
4
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548 views

Interpreting Random Effects for Poisson GLMM

There seem to be a few answers for normally distributed models, but after some searching I could only come across this page for Poisson mixed models. I want to be certain I am interpreting the random ...
4
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0answers
4k views

How to interpret lsmeans output for my lmer model?

I've defined an lmer model in R with 2 fixed effects, 2 random intercepts and a random slope: ...
4
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0answers
187 views

Determining the effect of number of likes

Let's say I have marketing data and I need to determine how effective the marketing is. The marketing strategy is to publish facebook posts at inconsistent intervals. The goal is to see how the ...
4
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0answers
2k views

Tweedie P Value Interpretation

From Wikipedia (http://en.wikipedia.org/wiki/Tweedie_distribution) we know that The Tweedie distributions include a number of familiar distributions as well as some unusual ones, each being ...
4
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0answers
629 views

Interpretation of log transformed predictor in negative binomial regression

I mainly want to make sure that I'm making the correct interpretation here. I built a negative binomial regression model predicting a count variable. There was evidence of overdispersion or I would ...
4
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0answers
1k views

Geometric Interpretation of Softmax Regression

I'm writing a series of blog posts on the basics of machine learning, just for fun, mostly to validate my understanding of Andrew Ng's class. As I'm currently studying generalized linear models (GLMs),...
4
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0answers
514 views

Interpretation of mixed model with repeated measures

I have performed the following experiment: Two genotype groups of two different ages were monitored in the presence of three drugs one after the other. So, each subject after a control period received ...
4
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0answers
4k views

GEE (or GLMM) in SPSS: Interpreting outputs and model selection

I am attempting to analyze my (experimental psych) data in SPSS, and I have a few questions regarding the kind of analysis I should be using (GEE or GLMM), how I should be interpreting the output, and ...
4
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2answers
296 views

Is this interpretation of prediction intervals correct?

I have a regression model relating to a ''normal'' population. If a new observation which corresponds to point $x$ is outside the prediction interval at $x$, do I have a reason to suspect the new ...
3
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0answers
59 views

What is the geometric meaning of correlation matrix

I recently read this article explaining the geometric meaning of covariance matrix. http://www.visiondummy.com/2014/04/geometric-interpretation-covariance-matrix/ My question is : is there an ...
3
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0answers
57 views

An alternative definition of the $p$-value

As we know, $p$-values are uniformly distributed under $H_0$. This urges me to ask if this constitutes a valid (re-)definition of the $p$-value. $p$-value - A statistic with a uniform distribution ...
3
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99 views

How to interpret a two-way interaction in a 3-way interaction model

I am trying to predict y with variables a, b and c. I have two models and I get different results depending on how I fit my model. Model A is the simpler model, in which I exclude variable c. In ...
3
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0answers
165 views

Marginal effect of variables - Logistic regression, Boosted tree, and other tree-based models

Assuming I have a classification problem where I have binary dependent variable Y and independent variables X1-X10. The X variables are categorical. Say we are interested in the marginal effect of ...
3
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0answers
1k views

Help with using variables as ordered factors/how to read lme4 output

I am quite new to R and also to LME statistics and would greatly appreciate any help. I am trying to figure out whether I have changed the variables in my study accordingly, and how to read the ...
3
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0answers
362 views

How to measure variable importance in a GAM model?

For concreteness: ...
3
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0answers
343 views

Interpretation of double log model when variables are ratios

I am running a double log model. My dependent variable is GDP growth per capita. My independent variables are military expenditure as share of GDP and gross capital formation as share of GDP. All ...
3
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0answers
359 views

Ordered logistic Regression with categorical variables

I am conducting a regression. There is an ordinal dependent variable (ordered from 1 to three) and some categorical independent variables (each of them includes several items). I adopted the ...
3
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0answers
449 views

Interpretation of inverse ILR-transformed coefficients from a compositional data analysis

I wish to do regression analysis on compositional data. But whatever I've learnt from books and blogs that I need to use transformations like centered log ratio (clr...
3
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0answers
177 views

Interpretation of probability in geostatistics

In geostatistics, the concept of a random field is used in e.g. Kriging. Hence, at each point in your study area, there is a probability distribution. Should this probability be given a frequentistic ...
3
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1answer
324 views

Interpret credible intervals / HPD following posterior sampling

I am unsure on how to interpret credible interval results. How can credible intervals consist of negative numbers when the collected data only consists of positive numbers? I would expect that, given ...
3
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0answers
185 views

Build a model with bimodal output

Let's say that you want to build a model that predicts two possible outcomes with a probability for each. To be clear, i'm not talking about a problem where the target variable is binary and you want ...
3
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0answers
58 views

Still confused regarding interpretation of effect size given highly significant p-values

Suppose you have 3 groups, 'Atheists' ($n_1=102$), 'Nones' ($n_2=178$) and 'Religionists' ($n_3 = 390$). You want to find out if there is a difference in the experience of meaningfulness between these ...
3
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0answers
42 views

Mismatch Between the Parameters of a Logistic Regression in R and My Computed Parameters

By converting and by trying to interpret the parameters of a logistic regression ran in R, I just find them to be overestimated. Therefore I tried to compute them myself but I can not obtain the same ...
3
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0answers
641 views

Bootstrap logistic regression with rare events and rare outcomes and rare predictors

I am recently using bootstrap for statistical inference and confidence interval building in the setting of regression, especially logistic regression. In many works I've been doing I find that using ...
3
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0answers
55 views

Are there any circumstances under which a confidence interval can be interpreted as a likelihood interval? What are they?

I read the answers provided to the question "are all values in a 95% confidence interval equally likely?". These answers raise questions for me regarding interpretation. I have read that under ...
3
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1answer
18 views

Given the same before-after differences within groups, is it relevant whether time trajectories converge or diverge?

Both drugs are associated with the same decreases in mean blood pressure in both scenarios. Given that we attach the same meaning to any blood pressure decrease of the same amount, does scenario B ...
3
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0answers
305 views

How does the presence of factors affect the interpretation of the other coefficients in a regression?

The answer to Interpreting coefficients of an interaction between categorical and continuous variable contains a phrase that seems to have some significant impact on how coefficients are interpreted ...
3
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0answers
532 views

OLS with ordinal dependent variable - do the coefficients mean anything?

I currently read a paper in which the author has asked people 3 different questions regarding their life satisfaction, all of which are to be rated on a four point scale: 1) very low, 2) low, 3) high, ...
3
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0answers
398 views

How to interpret Pearson's $r$, Spearman's $\rho$, Cramér's $\phi_{c}$ and Cramér's $V$ correctly?

Is it right that both Cramér's $\phi_{c}$ (and consequently Cramér's $V$ as well) are similar to the Pearson correlation coefficient, $r$, (and so, to Spearman's $\rho$) in its interpretation, as it ...
3
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0answers
125 views

GEE Combined with Linear Mixed Model

Suppose we have a linear mixed model with outcome variable $Y_{ij}$ and covariate $X_{ij}$. In particular, suppose we have a random intercept model: $$\mathbb{E}[Y_{ij}|b_i, X_{ij}] = \beta_0+b_i+ \...
3
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0answers
166 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 ...
3
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0answers
1k 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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0answers
3k views

Difference beween supplementary and active variables in PCA - Interpretation on obsevations?

I would like to introduce two supplementary variables into a PCA I'm conducting on a set of data measuring concentration in different material phases. However I'm unclear as to how to interpret the ...
3
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0answers
382 views

Fractional Polynomial interpreting interaction terms

Background: I have developed a logistic regression model where I am trying to analyze the effect of socio-economic data of a family on their probability of receiving a home loan. I have used ...
3
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0answers
4k views

Interpretation AFT, Cox PH and discrete-time hazard model

I am struggling with the interpretation of the AFT model, Cox proportional hazard model and discrete-time hazard model. My question is: Can the coefficients in discrete-time hazard model also be ...
3
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0answers
3k views

How to interpret results from non-parametric ANCOVA?

I 'm new to the CV and not very good at statistic:) I would much appreciate some help on a non parametric ANCOVA in R sm package. I do a pre post analysis on a set of pre/post variables of two groups ...
3
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0answers
263 views

ANOVA claims that model is singular

I have a problem with a 3 way ANOVA with repeated measures. The design is the following: "localization" is the dependent variable, than I have the following within subjects factors "material" (4 ...