Questions tagged [composite]
The composite tag has no usage guidance.
0
votes
1answer
11 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 ...
5
votes
1answer
88 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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0answers
8 views
Creating a weighted composite score from standardized lavaan latent beta weights that retains the scale of the original measures?
I did a latent factor analysis in Lavaan which had a good fit and gave me the following estimates of standardized beta weights for three latent variables called Eta1, Eta2, and Eta3.
...
0
votes
1answer
26 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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0answers
15 views
Create a composite score from nominal, ordinal and scale data [duplicate]
I want to calculate a composite score for temper tantrums' severity. I want the variable to be dichotomous so that it represents normal temper tantrums and severe temper tantrums. Severe tantrums ...
0
votes
1answer
23 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 ...
0
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0answers
51 views
What is the effect of different goalposts values on MinMax normalization of composite indicators?
I want to compute a synthetic index based on several indicators for one country on a time period.
The indicators have different ranges and units. I want to normalize them using a MinMax ...
0
votes
0answers
23 views
Truncation and a composite distribution
Suppose
$X$~$N(a,1)$
$Y|X$~$N(X,\sigma^2)$
Then what is
$X|Y<0$ ~ ?
and
$E[X|Y<0]$ ~ ?
1
vote
0answers
44 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
68 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.
...
0
votes
1answer
148 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
77 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
192 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
229 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
0answers
119 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
votes
1answer
141 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
74 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
184 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
138 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
35 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 ...
1
vote
1answer
108 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
31 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
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0answers
6k 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
196 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. ...
1
vote
1answer
2k 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
341 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
326 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
120 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
102 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
47 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
39 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
157 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
446 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
195 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 ...
14
votes
2answers
9k 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
2k 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
votes
1answer
949 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 ...
1
vote
2answers
2k 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 ...
0
votes
0answers
88 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 ...
1
vote
0answers
237 views
How to create item parcels for a factor that is not unidimensional?
This is follow-up question by "How to create item parcels in SPSS Amos?"
My question is how to create item parcels for a factor that is not a unidimensional.
Several articles have mentioned that ...
2
votes
0answers
711 views
Composite Scores and Standardized Composite Scores t test
I have a set of survey data related to 20 survey questions. Each of these questions represent a variable (Q1, Q2,......
2
votes
1answer
999 views
Combining four factor scores into one composite scale
Is it possible to use exploratory factor analysis to extract four factors, and then combine these four factors (i.e. the factor scores for each observation) into a composite scale?
1
vote
1answer
683 views
How to rank criteria based on survey response?
I have made a survey to weight the importance of different features of a credit card using a 5 point Likert scale with scores (very important = 5...neither important or unimportant = 1). I have 8 ...
2
votes
0answers
273 views
Interaction Term Insignificant but Composite Variable Significant
I have 4 latent variables each with 3-7 indicators. I created a composite for each variable by summing the data and then mean-centering (variables have some collinearity issues, highly related). ...
7
votes
2answers
9k views
Can I combine several ordinal questions to create an index and/or composite measure?
I am using a survey that contains several questions about various dimensions of performance for policy research institutes. Here, performance in the policy arena is unpacked into things like:
...
1
vote
0answers
382 views
SEM or path analysis: Latent vars with individual items as indicators, or composite scores as observed vars?
I am unsure which analysis is more appropriate out of path analysis or SEM (Structural equation modelling). I am looking at the relationships between a number of variables which have been measured by ...
1
vote
1answer
693 views
Can I create a composite scale with Likert and non-Likert scale data?
I would like to create a composite scale for different attitudes by calculating the mean score from different items on a questionnaire. Most of the items use Likert scales however some of the items ...
2
votes
0answers
221 views
Small sample, many variables
I am working on some applied research. I have a small non-random sample ($n=90$), and many variables $>50$ IVs (mix of nominal, ordinal, interval) and 6DVs. The data collection instrument itself ...
1
vote
2answers
2k views
What factors do I have to consider when deciding if creating a composite score using four t-scores is defensible psychometrically?
Edit:
I've conducted an item analysis on four variables - two quizzes and two psychological attributes, namely emotional intelligence and happiness. Its a within-subject design with students as ...
0
votes
1answer
955 views
Correct Analysis of Likert score (Product of two Likert scales)?
I have two Likert scale questions measuring perception of risk (Severity & Probability). For example:
What kind of injury is caused by falling from a height of ten feet?
no injuries
slight ...
