Questions tagged [composite]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0
votes
1answer
21 views

Q: Aggregating audience and critic movie ratings, and creating a composite rating of the two

I’m building a movie review aggregation site that combines user ratings and critical reviews for a given movie. The objective is to create a list of the “best of the best” movies which were rated ...
0
votes
0answers
17 views

How to apply multiple impputation when creating composite scores to be modelled using latent growth curve models?

I am in the process of creating composite scores for a neurocognitive battery. There are 12 tests within the battery, each test has 5%-8% missing data at baseline. My sample size is ~7,000 ...
0
votes
0answers
14 views

How to construct a test statistic for a composite null hypothesis?

For a simple null hypothesis, we usually construct a test statistic such that the test statistic follows (asymptotically) a known distribution under the null hypothesis. However, when the null ...
0
votes
0answers
15 views

Reference for a multiple composite hypotheses

I am finding out a good reference or paper for a multiple composite hypotheses. (e.g. $H_0: \theta_j \geq 0\;\forall\;j=1,\ldots,\;J$) Is there any material you recommend?
0
votes
0answers
8 views

Power for a study where the outcome is "any one of Y1-Y6' but I only have effect estimates for a few of the Y's

I am being asked to provide a sample size estimate for a study where the criterion (outcome variable) is 'any of Y1 - Y6' events (independent events). The study is associational only, the aim is to ...
3
votes
2answers
68 views

Intuition behind SEM latent variables not being actual variables

There are essentially two ways, to my knowledge, to put together a number of numerical items that are all meant to quantify one abstract notion. One can average the items and create a composite score. ...
0
votes
0answers
27 views

Creating a composite independent variable from two categorical variables?

I have two predictor variables, one of which has measures how often a participant smokes in 5 levels (< 1x/week, 1x/week, 3-4x/week, everyday, and +2x/day). The other predictor is a categorical ...
0
votes
0answers
55 views

Standardization of index components without mean centering

There are many questions and answers (see here for example) related to standandardization of variables, carried out by taking a value, subtracting the mean (centering) and dividing by standard ...
0
votes
1answer
49 views

Re-scaling variable - Mean equal to 100

I've created a composite indicator which is now in a normalized form. I want to rescale this variable so that the mean in the baseline year is equal to 100. In this way, all observations above 100 ...
2
votes
1answer
120 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
votes
1answer
40 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
votes
0answers
17 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 ...
1
vote
1answer
22 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 (...
1
vote
0answers
9 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 ...
0
votes
1answer
122 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
votes
1answer
38 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
votes
1answer
100 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
vote
1answer
106 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
votes
0answers
97 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
votes
1answer
182 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
votes
1answer
272 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
votes
1answer
38 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
votes
1answer
83 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 ...
1
vote
0answers
113 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
votes
1answer
311 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
vote
1answer
440 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 '...
1
vote
0answers
102 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
votes
1answer
485 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
375 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 ...
0
votes
1answer
317 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
vote
1answer
136 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
332 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
200 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
216 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 ...
1
vote
0answers
79 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 ...
0
votes
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
votes
1answer
263 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
481 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 ...
1
vote
1answer
491 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
195 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 ...
1
vote
0answers
116 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
votes
1answer
55 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 ...
0
votes
0answers
52 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
388 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
votes
0answers
532 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
votes
1answer
381 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 ...
16
votes
2answers
17k 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). ...