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

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1answer
12 views

Interpretation regression coefficients predictors and dummy variables

I have to run a regression predicting the DV (continuous) from an equation with: Y = X1(dichotomous factor, coded 0-1)+X2(dichotomous factor, coded 0-1)+X1X2+M1+M2+M3+...+Mn, where M1...Mn - ...
1
vote
1answer
39 views

Finding cycles in data using a periodogram and Fast Fourier Transform

Problem: Detecting cyclical patterns in daily data using periodogram and FFT. The issue is how to code in R the periodogram to detect monthly, quarterly, semi-annual, annual..etc cyclical patterns in ...
6
votes
1answer
74 views

Interpretation of Cramér's V

I am trying to understand the value Cramer's V provides. I found the following sentence (from here): "V may be viewed as the association between two variables as a percentage of their maximum ...
2
votes
1answer
33 views

How to decide which main variable is modified by the interaction term?

Given the following linear model $Y=int+aX1+bX2+c(X1*X2)+e$, where $X1$ and $X2$ are the main variables, ($X1*X2$) is the interaction term, and $a$, $b$, and $c$ are the corresponding coefficients. ...
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0answers
18 views

Fisher test interpretation for left or right sided p-values

Let say I have a frequency table of two variables $x$ and $y$ having or not having some property. $$ \begin{array}{lcr} \mbox{} & x & y \\ \mbox{has property} & 20 & 2 \\ \mbox{does ...
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0answers
12 views

Slope versus Slope Change [closed]

Is there a difference in the definition of Slope versus Slope Change? I am doing slope and level change calculations for my dissertation. I can't seem to find the answer if there is a difference.
2
votes
3answers
203 views

Confused on the interpretation of regression coefficients

Let's suppose we have the following regression model: $$Y_i=\beta_0+\beta_1D_i+\beta_2D_iX_i+\epsilon_i$$ where $Y_i$ represents the test score of the i-th student, $D_i$ is a dummy variable that ...
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0answers
26 views

How to interpret this?

Good day again! For my thesis, I used 2 types of test to measure 3 types of dimensions for Perefectionism. The results for the correlation is everything is correlated (p>0.01). Then when I computed ...
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0answers
8 views

determining importance of factors in canonical correspondence analysis

When conducting a constrained correspondence analysis, are there any rules of thumb for deciding which factors are most important for interpreting a canonical variate? Thanks!
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2answers
24 views

Observed and Observable

What is observed and what is observable? I found this two word frequently in the context of random variable and realization of ...
0
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1answer
15 views

interpretation baseline corrected ANCOVA

I hope you can help me with some statistic 'problem', or maybe check is more accurate =]. I have data on an experiment with a 2 by 3 design, with session(first/second) and medication(a/b/c) as ...
1
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1answer
20 views

Interpretation of Odds in Probit Regression

Logistic regression is concerned about modelling log-odds, i.e. logits. Hence, the odds of the computed probabilities can be interpreted accordingly. However, when estimating a probit model, one could ...
1
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2answers
28 views

Relationship between $\beta_1$ and odds in simple logistic regression

I am taking a course in logistic regression, and currently my class is about to finish our discussion about simple logistic regression. My professor said that the following statement is correct: ...
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0answers
20 views

How do you include categories with 0 responses in SPSS frequency output? [migrated]

Is there a way to display response options that have 0 responses in SPSS frequency output? The default is for SPSS to omit in the frequency table output any response option that is not selected by at ...
-1
votes
0answers
10 views

How to compare regression coefficient of log transformed and level data?

I am estimating a model in the form $\log y=a+b \log x_1+cx_2$. I understand that $b$ represents the elasticity of $y$ with respect to $x_1$, while $c$ is a semielasticity. The question is, if I ...
0
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0answers
15 views

Interpretation of impulse response functions with variables in logs

I am looking at the relationship of several macroeconomic variables, all in natural logs, using Vector Error Correction (VECM) models and Impulse Response Functions with a standard Cholesky-type ...
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0answers
3 views

How to interpret/detect interactions with proportional effects

Assume I have an experiment with 2X2 factors. Let's name the first factor F1 with the levels ...
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0answers
5 views

Assesing the probability of error of an estimate given the standard error

Let $X$ and $Y$ be two random variables with a standard error between them of $\sigma$. Let $\{(x_i,y_i)\}_{i=1}^N$ be $N$ pair realizations of both random variables. Given $E>0$, what's the ...
0
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0answers
10 views

Assesing the probability of error of an estimate given the Pearson correlation coefficient

Let $X$ and $Y$ be two random variables with a Pearson correlation coefficient of $R>0$. Let $\{(x_i,y_i)\}_{i=1}^N$ be $N$ pair realizations of both random variables. Given $E>0$, what's the ...
4
votes
2answers
45 views

Null hypothesis for linear regression

I am confused about the null hypothesis for linear regression. If a variable in a linear model has p < 0.05 (when R prints out stars), I would say the variable is a statistically significant part ...
3
votes
2answers
75 views

Is it an assumption of the normal linear model that explanatory variables are uncorrelated with the errors?

Some books seem to include an assumption for the normal linear model which I have never seen before. They say that there must be no correlation between between the explanatory variables and the ...
0
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0answers
20 views

Reference on interpretation of similar observed values and average adjusted predictions

I analyzed the association between a count dependent variable (DV) and a dummy independent variable (IV) (coded 0 and 1) ...
0
votes
1answer
26 views

Interpreting Two-sample Kolmogorov-Smirnov with jerzy

I am using the project jerzy to run a Two-sample Kolmogorov-Smirnov test in Javascript, regarding another question I asked on stats.SE: Timing attacks: When the time to complete two different tasks ...
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0answers
25 views

Deterministic Model and Stochastic Model

Deterministic model involves no randomness, where as stochastic model involves randomness. An example of deterministic model is: return of $5$years of investment with an annual interest of $7$% . An ...
1
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1answer
73 views

In what sense is the interpretation of coefficients in a GLMM subject-specific?

There is something I'm not quite understanding conceptually about the output from generalized linear mixed models. I have read that the target of inference in GLMMs is subject-specific. For example, ...
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0answers
195 views

Interpretation of output generated by PROCESS macro in SPSS for model with two moderators

I used the PROCESS macro for SPSS from hayes to regress a model where det_mean is the indepedent variable and y_tot the depending variable. I'm testing if this relation is moderated by two variables ...
2
votes
1answer
56 views

Interpreting output of Cox regression model

I am trying to use two variables - activity score (ascore - a whole number indicating amount of activity) and gini (given by Gini-Simpson index - a value ranging between 0 and 1, indicating diversity ...
2
votes
1answer
84 views

Confused about 0 intercept in logistic regression in R

I'm exploring the effects of removing the intercept in a logistic regression model. Assume a model: $$logit(Y = 1) = \beta_1 x + \beta_2z + 0$$ with $x$ and $z$ being categorical variables with 2 ...
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0answers
14 views

Conjoint simulation output

I am doing a traditional conjoint study with 3 attributes (brand,price and applicator) each with three levels. I asked respondents to rate the profiles from 1 to 9. Now I run 2 simulations with 9 ...
0
votes
0answers
17 views

Mean Absolute Scaled Error

Right now, I am analyzing the prediction quality of a dynamic model that has variables with different units (e.g. $x_{1,t}$ is in meters, $x_{2,t}$ is in kilograms etc.). I have discovered a great ...
0
votes
1answer
21 views

How do I know if this jump is going against the downwards trend?

I'm looking at some accident statistics and have a question about how it's reasonable to interpret the data. The numbers are fatalities in traffic accidents, and I want to discuss a newspaper article ...
2
votes
1answer
115 views

three-way-interaction between two continuous and one binary variable using OLS stata

I'm facing difficulties in interpreting a three-way-interaction term. I'm using OLS and the three-way-interaction term is significant. Y is the response variable (continuous), X the predictor ...
2
votes
1answer
69 views

Interpreting Reaction Time data with mixed-effects model

I have a problem with interpreting Reaction Time results with mixed-effect models. In the experiment, participants were split into 2 conditions. They looked at the same set of pictures and then took ...
0
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0answers
47 views

Understanding correlation between Multiple Intelligences (MI) and digital technology competency

I appreciate all the help I can get to help me understand. The research reported here is about whether there is a correlation between multiple intelligences (MI) and digital technology competencies. ...
3
votes
1answer
108 views

Understanding confidence intervals in Firth penalized logistic regression

I recently discovered penalized likelihood ratio methods to cope with sparse and/or separated data. I'm having some problems though in understanding the results a logistic regression using Firth ...
1
vote
1answer
32 views

Proof of optimality of mean squared loss

Suppose I am building a predictor for $y = f_w(x) + noise$ using some framework with parameters $w$ (linear regression, neural networks, etc.) given a number of training examples $\{(x_i,y_i)\}$. I ...
0
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0answers
34 views

Is this interpretation of mixed ordinal logistic regression correct?

I am doing mixed ordinal logistic regression using clmm function in ordinal package. Before running the clmm model I have changed my DV into ordinal variable using: ...
0
votes
1answer
68 views

Interpretation of odds ratio

Can anyone help me interpret the results on the attached figure (drivers of preterm birth in Missouri)? This is the result of a multivariate logistic regression analysis. What can be inferred from ...
1
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0answers
32 views

$3^3$ factorial design

Suppose in a $3^3$ factorial design, factor A has three levels. We want to test the significance of A and after setting hypothesis $$H_0:\alpha_i=0 \quad\text{for}\quad i=1,2,3 \quad\text{Vs.}\quad ...
2
votes
1answer
54 views

How does the distinction between association and causation affect the interpretation of linear models? [closed]

Lurking variables probably have something to do with this. I'm just trying to figure out how their difference can affect a linear model.
0
votes
1answer
132 views

How to interpret “main effects” in a GLMM?

Recently, I asked a question about what procedure to use to analyse mixed data with dichotomous outcomes, see [here][1]. Now I started running some first analyses (mainly with SPSS, but I'll post the ...
0
votes
1answer
43 views

re-reflecting variable after transformation

I have a question about the process of re-reflecting transformed data. I see many questions and answers around this but I am not sure any answer my specific question. Many of my variables were ...
0
votes
1answer
65 views

How to explain when Main Effect and Interaction are not significant?

I've spent hours trying to interpret my data but I can't figure out how to explain the results when both the main effect and the interaction are not significant. I'm suppose to discuss my results, ...
3
votes
2answers
80 views

Research methodology, statistical literacy and communication

When talking to clients or offering advice, I often find myself having to question the choice of plotting variables over time. For example, if a client is interested in understanding the relationship ...
2
votes
1answer
54 views

How to interpret a status other than alive or dead in data for survival analysis?

I am working on a famous data set from this book. The data set consists of measurements on 418 patients. I am interested on modelling the variable; futime: number of days between registration ...
0
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1answer
136 views

Why is P value interpreted under null hypothesis? [duplicate]

P value is explained very nicely in the link . But still i have not understood Why is P value interpreted under null hypothesis?
0
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0answers
18 views

How to interpret odds ratio [duplicate]

I have the following data set and I applied logistic regression and my model is given below. $logit(\pi_i) = -60.71 + 34.27*Dose_i$ I know that $e^{34.27}$ gives the odds ratio, but don't know how ...
4
votes
1answer
62 views

Using predicted probabilities as regressors

I am working on a project where I investigate growth in wages due to migration. I correct for the endogeneity in the decision to migrate (only those that are most likely to gain from migration will ...
5
votes
1answer
115 views

Meaningful inference about data structure based on components with low variance in PCA

A lot of microbiome (microbial ecology) papers that I have come across use either principal component analysis (PCA) or principal coordinate analysis (PCoA) to make conclusions about the data. A lot ...