Questions tagged [composite]
A composite score is a single score that represents a combination of information from either multiple variables or multiple data points.
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Optimal composite score weights using results from a Delphi process
I've read a few questions and answers (specifically this one and this one) as well as a paper on "subjective weighting" and I can't for the life of me figure out what to do here.
We've ...
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How would you assign weights to elements of a standardized “Social Media Score” for political parties?
Apologies if this is not a suitable question for this site.
I'm working on a project in which I want to quantify the digital media presence of political parties during an election campaign. My goal is ...
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Standardization of Variables Across Different Analyses
Standardization of Variables
I'm conducting a study for my B.S.c. in psychology and need advice about standardizing variables for my analyses. My variables are Optimism, Stress and 4 separate ...
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Correlation of estimated rates for overlapping composite endpoints from the same study
Background
Often we have multiple composite endpoints reported from the same clinical trial. Let's say we have the hazard rate per 100 patient-years reported (in a publication, we don't have the raw ...
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Factorial ANOVA with composite dependent variable and interaction
I ran an experiment where participants were randomly assigned to a control or treatment condition and in both conditions each participant was presented consecutively with three pairs of products where ...
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PCA with correlated variables
I'm analyzing data from around 10 survey questions focused on regulatory issues. I've noticed these questions are highly correlated (of course since they are all about regulation), and I'm concerned ...
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Mean score of the Composite Variable
I have three items(Likert scale from 5 to 1) measuring opportunity recognition. I was getting negative cronbachs alpha value. Hence, I reverse-coded and got the Cronbach's alpha of 0.83.
I will be ...
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Why use integrals when building exponential composite functions?
I recently read this paper, which describes a generalisation for statistical exponential decay models used in ecology. Essentially, the parameter $k$ of the exponential decay function $f(x) = ce^{-kx}$...
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How to create a composite variable from survey data?
I'm working with survey data, which I've never done before (from the SHARE database). What I basically want to do is create a composite variable for cognitive function, mental health and maybe some ...
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Obtaining confidence intervals from composite defined functions
Assume you have a set of $n$ independent random variables $X_1, X_2, \dots, X_n$ with unknown distribution and mean (finite) values $\mu_1, \mu_2, \dots, \mu_n \in \mathbb{R}$. Moreover, there are $n$ ...
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How can I best visualize & compare this data? Should I create weighted composite variables for a scatter plot?
I have data from a survey which was asked people 1) how often they used a particular tool (daily, weekly, monthly, annually, etc) and 2) many hours they usually spent using it (0 - 4 hrs, 5 - 9, 10 - ...
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Suggest a reasonable approach to combine the following variables into a single vector
I have 9 variables, namely BMI, waist-to-hip ratio (WHR), healthy-diet (HD: a score of 0 to 4, close to 4 indicates healthy), waist circumference (WC), neuroticism score (NS), body fat percentage (BF),...
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Which regression best suits double bounded outcomes that aren't binary?
I'm considering some projects in the future which require modeling literacy outcomes as composites (such as word reading scores), which will naturally never have negative values (it's impossible to ...
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Can Composite Reliability (CR) be used for attenuation correction in meta-analysis?
I'm trying to conduct a meta-analysis on correlation using Spearman's disattenuation formula: rx'y' = rxy/sqrt(rxx*ryy). Can composite reliability (CR) instead of Cronbach's α be used in this formula? ...
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How to create a composite variable out of 3 non-correlated variables?
I am working on a model to account for flood risk and it is based on three variables:
Variable 1: drainage (float: 0 - 80)
Variable 2: estimated population (float: 0-2,000)
Variable 3: road network ...
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