Questions tagged [composite]
The composite tag has no usage guidance.
81
questions
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31 views
Create composite score from categorical and binary variables
Let's say I have a dataset with a number of variables on clinical history and behaviours in the context of COVID transmission. Ultimately i'd like to create a binary variable that is an indicator of ...
2
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1answer
15 views
What is the minimum acceptable correlation for creating a composite variable?
I have created a composite measure comprising two items (both 7-point Likert scale items), using the summed z score method. The correlation coefficient for these two items is 0.59. This seemed ...
0
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0answers
13 views
Composed pair-wise similarity measure
I'm dealing with a graph theory problem for which I have calculated a series of pair-wise similarity measures (several criteria such as ancestrality, co-occurrence, sentence similarity, etc.) between ...
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1answer
20 views
Correlation of composite indicator dimensions
I have a composite indicator that works very well for my purposes and is made of 3 dimensions (dim1, dim2, dim3). The 3 dimensions are different measures that are, in many cases, highly correlated (...
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0answers
15 views
Correctly specifying composite variables
In my thesis I estimate the linear regression which follows below. In order to prevent an overfit of the model (my sub samples have too few observations for each N/lag of N to have unique parameter) I ...
0
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0answers
22 views
Regress statistical composite variable and against latent variable in an SEM using lavaan.mi
I am trying to estimate the association between a statistical composite variable, developed following the methods described here, and a latent variable using lavaan.mi (estimated from a series of ...
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0answers
7 views
Composite Variables and Levels of Measurement
I have six worry items (worrying about economy, health, etc. and 1-Not worried, 2-Somewhat worried, 3-Very worried) and I want to create a composite variable to see if I can use all worries in a ...
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0answers
5 views
Combining time and percentage errors into a single figure of merit
I have a set of 1000 randomly generated "model" objects, each of which can be solved using one or more "solver" objects (there are 6 different solvers in total). For each model, I ...
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0answers
20 views
Are empirically derived composite scores influenced by “zero inflation”?
I am helping a friend analyze a set of self-report ethological data. The aim of the data is to determine whether certain guinea pig pairings (dyads/triads - 2 males, 2 females, 1 male+2 female, etc.) ...
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65 views
Creating a composite variable with data that is missing by design
I have a dataset of 20 variables and over 2,000 observations. These variables are paired. A respondent is first asked if they endorse a goal. If they endorse that goal, a follow-up question asks how ...
0
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1answer
90 views
How does SPSS calculate composite variable for MANOVA/Multivariate multiple regression?
I have analysed my data using multivariate multiple regression (8 IVs, 3 DVs), and significant composite results have been found.
Before reporting my findings, I want to discuss in my results chapter ...
2
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1answer
32 views
Validating the way of creating a composite score using elastic net
We have a dataset where we want to see the association of different personal/demographic characteristics and biomarkers with post-injury depression. For that, we first want to create a composite score ...
3
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1answer
91 views
What drives the test reliability of a composite based on three components?
Situation: A three part ability test with multiple-choice, essay, and oral components. I have scores for each of 110 test takers on each part and overall. The three parts are unequally weighted in ...
1
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1answer
95 views
High odds ratio for composite score created by ridge regression
This question is a follow up to one of my previous questions asked on this site. The goal was to create a composite score for biomarkers related to a binary outcome and then use that in a regression ...
2
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0answers
96 views
Asymptotic relationship between tests of compact composite nulls and one sided tests
A motivating example
Let $x_t\sim N(\mu,1)$ for $t=1,\dots,T$. Consider testing the null $H_0: \mu\in[-1,1]$ against the alternative $H_1:\mu\in\mathbb{R}\setminus [-1,1]$.
The natural (UMPU?) test ...
0
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1answer
138 views
Can I create a composite variable for my two dependent variables?
I am working with two dependent variables that are both measuring a country's level of nuclear security. The first variable is a country's nuclear security index rating (range 1-100). The second ...
6
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1answer
189 views
Comparing ways to create a composite score
Objective:
I have biomarkers $X_1,\ldots,X_p$ (all in continuous scale) and a binary dependent variable $Y$. Because $p$ is large (there are many biomarkers), I want to make a composite score ...
0
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1answer
36 views
Binomial distribution for randomly drawn probabilities
Setting
Probability theory can be a weird place sometimes. Here I was, confident in my insane math skills, trying to solve the following problem:
Let $N, \alpha$ and $\beta$ be given.
...
0
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1answer
75 views
Composite Variables
I am getting a little confused with the idea of composite variables. If you have a bunch of (hyptertheical) features for house price regression such as #rooms, location, proximity to school, house ...
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0answers
78 views
Are there any good citations for the distribution of Hotelling's t-square statistic that don't assume a point null hypothesis?
Under standard assumptions, Hotelling's $t$-squared statistic,
\begin{align*}
t^2=(\overline{x}-\mu)'\hat{\Sigma}_\overline{x}^{-1} (\overline{x}-\mu),
\end{align*}
is distributed as
\begin{align*}
t^...
0
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1answer
251 views
Re-scaling standardized values
I am constructing an index composed of around 100 indicators aggregated in sub-index and these in an Index, among the indicators different types can be found: categorical, ordinal, interval and ratio.
...
1
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1answer
359 views
Bootstrapping confidence intervals for a non-linear combination of logit coefficients using R
I have a GLM with a logit link examining behaviours (success = 1, failure = 0) across several large datasets (n > 30,000). The IVs are standardised and centred.
I would like to produce a metric of '...
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0answers
93 views
Are the confidence intervals of logit model coefficients normally distributed?
In more detail to the above...
I have a GLM with a logit link examining behaviours (success = 1, failure = 0) across some quite large datasets (n ~ 30,000 to 3,000,000). The IVs are standardised and ...
0
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1answer
436 views
Composite Variables for simple and multiple regression
When I am supposed to create a composite variable using the sum or the mean method?
Thanks in advance,
Alex
1
vote
1answer
344 views
Regression: Can I use independent variables that are used to create a composite independent variable?
I'm considering an example where I'm creating a model to predict a binary categorical outcome to determine whether a tool will be successful (e.g. 1,0) over different periods of time. If I create an ...
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0answers
161 views
Difference between multivariate analysis and multicriteria decision analysis
What is the difference between multicreteria and multivariate analysis? Can they both be used to weight items in a composite index?
0
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1answer
275 views
Combining multiple measures into a single measure
I have a situation where I have a set of j distinct categories, let's call them C. I have measured C in i different ways for a number of observations. I want to find the category Cj that best ...
1
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1answer
125 views
Composite variable as DV. Can I include part of it as independent variable?
I am struggling to form a regression model as I have to explain financial performance of a company.
The problem is that I have a variable like Return on assets $\frac{ebit}{total assets}$ as a ...
0
votes
1answer
308 views
Why does my p-value increase when I account for multicollinearity?
I am running a multiple linear regression model and I have 8 covariates, 4 of them are highly correlated (r>0.7). So I created z scores and then created a composite. When I re-ran the model with this ...
1
vote
1answer
186 views
How do I combine (merge) two scales?
I mesured two constructs, intention to book a room (4 items) and intention to book from a web site (3 items), (Pearson correlation = 0.344**) I've been asked by a reviwer to merge the two scales. ...
2
votes
1answer
38 views
How do I derive a rating from two variables containing zeros?
I have a dataset of the performance of probands in an experiment. An observer watching the performance noted positive and negative performance remarks on a simple tally, and ended up with something ...
4
votes
2answers
190 views
Bayesian Hypothesis Testing with Fair Coin Flip
Bayesian binary hypothesis testing problem in equal priors and uniform cost assignment (i.e., $c_{ij}=1$ for $i \neq j$ otherwise $0$) setting:
Under hypothesis $\mathrm{H}_0$, the observation $Y$ is ...
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0answers
68 views
Testing significant differences in a composite measure
I am developing a composite score that pulls together multiple measures into one score for each group. Each measure is constructed as a percent (20% of customers met the measure, 60% of customers met ...
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0answers
8k views
Cronbach Alpha VS Composite Reliability: a big difference?
I've read elsewhere that Alpha is probably a low-bound estimate of realibility if the tau equivalence is violated (which is often is). An alternative was proposed which is the composite reliability. ...
4
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1answer
246 views
Hypotheses for the likelihood ratio test
My question is very simple and basic but it's confusing me.
Suppose we have a $p$-parameter vector $\theta =\{\theta_{1}, \theta_{2}, \cdots, \theta_{p}\}$ and I wish to do a likelihood ratio test. ...
2
votes
1answer
3k views
Creating a composite measure
I'm having trouble creating a composite measure. I have 5 different non-normal variables (all different scales). I'd like to create one score that takes into account these 5 variables. I can manually ...
1
vote
1answer
456 views
How to lower composite reliability
at the moment I'm evaluating a survey which contains some constructs with too high composite reliability values. The CR (composite reliability) values are above .95 which indicates redundant items. In ...
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1answer
449 views
Formative/composite variable as weighted additive index
I'm very new to SEM (and relatively new to stats generally). I would like to ask whether my plans generally sound reasonable before I get lost for days in the literature.
The model that I try to work ...
0
votes
1answer
178 views
Transformation of a Skewed Composite Outcome made up of 2 Z-scores?
I am running a repeated measures mixed model. For my outcome variable, I would like to sum 2 continuous variables, which consequently are both Z standardized in order to do so. However, my outcome ...
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0answers
115 views
z-scores in t-test
I would like to ask the following: I have two groups (patients, controls). I used the mean and SD of the control group to calculate z-scores from their results on a variety of tests. , both for ...
0
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1answer
54 views
How can I compose a new variable using data from different but strongly correlated measures
For my master thesis I'm preparing an individual patient data meta analysis based on data of four studies. In those studies parental psychopathology is measured by three different, but highly ...
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0answers
46 views
Calculate distances of a company branches from main branch in every state. How calculate distance for main branch in every state?
Suppose that I'm calculating distances of a company branches in every state from main branch of that state. After that I'm combining this feature with other features to creating a composite indicator ...
2
votes
1answer
313 views
providing mean, sd, and correlations in sem
it is advised to provide mean, sd, and correlations of the data as the best practices in writing sem. However, the books I read did not mention how to obtain or provide those scores from the latent ...
2
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0answers
507 views
Should I use a composite standard deviation for these multiple biological/technical replicates?
I used an ELISA to determine protein concentration from absorbance readings, which is a nonlinear relationship. I have 3 sample types, which are broken down into 3 biological replicates (per sample), ...
2
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1answer
338 views
Power of a composite test
I know that power function is defined as $\beta(\theta)=P(\mathbf{X}\in R\mid\theta)$, where $R$ is the rejection region. For a composite test, $\Theta_0^c$ is a set. How do we define "the power of a ...
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2answers
16k views
Creating a single index from several principal components or factors retained from PCA/FA
I am using Principal Component Analysis (PCA) to create an index required for my research. My question is how I should create a single index by using the retained principal components calculated ...
4
votes
1answer
3k views
Combining several variables into one outcome score: How is it done in the machine learning community?
I have got 8 cognitive (continuous) behaviour variables and would like to combine them into a composite score. I would then like to find the best predictors of this outcome (from about 50 predictors).
...
2
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1answer
1k views
Creating composite vairables in Structural Equation Modeling
I was wondering if you can help me. I want to run a pathway model using composite variables. Each composite variable is made up of 3 or 4 observed items. To create the composite variable to draw my ...
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2answers
3k views
Likert scale based composite variables
I am conducting a small research into the adoption of smart home technologies for elderly people. In this research I have conducted both questionnaires and interviews, with the questionnaire being ...
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0answers
91 views
How to construct a regional severity index or riskiness score?
I have a set of regional variables for stroke that measures outcomes region wise. For example regional mortality for all ages for stroke, regional mortality for stroke for age group 65 to 75, regional ...
