Questions tagged [composite]
The composite tag has no usage guidance.
87
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Combining ordinal scales where each level is numerical range
I am working with a dataset that has several variables querying time spent using media each day. Each variable queries a different type of media use, with the same answer options. An example question ...
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Interpretation of Exploratory Factor Analysis
I am conducting research in cognition, where we are reducing a large dataset. An Exploratory Factor Analaysis with a 3-factor solution (based on a scree plot) reveals factors that appear to correspond ...
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37
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How normalized, weighted composite score measaured?
How can we convert a vector of repeated measures of a variable into one value when the vector has varying length in different instances? For instance, let's assume ...
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203
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Should I use composite or latent variables?
I am writing my master thesis about how the difference between majority's (Belgians) opinion about socially relevant topics and majority's perception of minority's (Turks and Moroccan's) opinion about ...
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Formula of composite daily anomaly
If a daily anomaly is a difference between the daily mean from the corresponding daily climatology for the sought calendar day of the year, how to calculate the composite daily anomalies? Is there a ...
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56
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Composite Null hypothesis in a Linear Regression
Suppose that we have an OLS estimator $\hat{\beta}$.
Also, assume that we know $\hat{\beta}\sim N(\beta, \Omega)$ and have an estimator for $\Omega$, say $\hat{\Omega}$.
Here, I want to test the ...
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How to create a composite score composed of variables with different levels of measurement?
For my graduation research, I am trying to create a composite score about household resilience out of data collected through a household survey. However, this data consists of ordinal variables (5-...
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194
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Understanding Likert-scale data and calculating composite score
I have conducted a questionnaire without much knowing about Likert. Now I realized that I have both Likert-scale data and Likert-type questions. I think I can look at their descriptive statistics ...
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139
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Generalized likelihood ratio test for known means and unknown variance
Consider a sequence, $X_1, X_2, \dots, X_n$, of independent random variables. I have two hypotheses:
$H_0 : X_k \sim \mathcal{N}(\mu_0, \sigma^2), k=1,2,\dots,n$
$H_1 : X_k \sim \mathcal{N}(\mu_1, \...
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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 ...
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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?
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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. ...
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107
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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 ...
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210
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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 ...
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269
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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 ...
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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 ...
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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 ...
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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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53
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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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194
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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 ...
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44
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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 ...
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149
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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 ...
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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 ...
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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 ...
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381
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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 ...
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489
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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 ...
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67
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Binomial distribution for randomly drawn probabilities
Main question
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.
Draw $N$ ...
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135
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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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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^...
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415
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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.
...
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559
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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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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 ...
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533
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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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509
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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 ...
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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 ...
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469
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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 ...
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282
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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. ...
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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 ...
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290
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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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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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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. ...
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356
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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. ...
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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 ...
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611
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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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601
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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 ...
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247
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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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127
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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 ...
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59
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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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98
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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 ...
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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 ...
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