Scales used to express measurements, usually ratio, interval, ordinal or nominal scales.

learn more… | top users | synonyms

0
votes
0answers
9 views

Summative likert scale [duplicate]

I am looking for a relationship between two summative likert scale. Each one of them contains 7 items. The scale used for each item consists of 5 points. What is the best tool to use?
1
vote
0answers
10 views

Likert scale dependent variables

I am doing a research about the ethics in pharmaceutical industry. I've chosen 7 branding activities followed by pharmaceutical companies. I want to study the relationship between the perception of ...
1
vote
0answers
11 views

Finding a scale matrix of multivariate Cauchy distribution given a border of credible region

I want to solve the following problem: I have a multivariate Cauchy distribution, centered at $\mu$, with unknown scale matrix $\gamma$. Now I receive a data point (blue $x$ in the picture) and my ...
0
votes
0answers
36 views

When and why to use scale function (in R) in PCA analysis?

I understand that if the scale of the different variables varies(for example, some expressed in absolute form while other in percentages), that will cause problem in Principal component analysis ...
0
votes
0answers
6 views

Rescale two variables with respect to another and keep ratio

I hope this question is not too trivial. Assume that I estimated three variables in a mixed ordered probit MLE procedure: -$lt$: lower threshold -$ut$: upper threshold -$mu$: the latent variable ...
4
votes
0answers
62 views

Is there an alternate $\chi^2$ calculation useful for data spanning a large scale?

I have experimental small angle scattering data which provide information about the structure of a molecule. I can use a PDB file of a molecular structure (contains all the atom names and ...
0
votes
0answers
26 views

scale & why normality does not matter

So I was looking at the world happiness report 2013. In most of their questions they used "0 to 10 end-labelled scale". So ya, basically "0, 1, 2,.., 9, 10". I understand that these kind of scale data ...
1
vote
2answers
108 views

Independent and Dependent variables use different scales

How to deal with questionnaire, where 40 questions that represent 8 independent constructs use 5-point Likert's scales and another 5 questions that represent dependent variable use 6-points Likert's ...
0
votes
0answers
5 views

measuring loyalty scale

I have 8 items measuring one construct "Loyalty". Basically what I need I want to test if there are some questions that can be removed without any loss of information. How to achieve this, which tests ...
0
votes
0answers
8 views

one construct - two dimensions - test

Let say a) I have 4 questions that measurs LOY_ATT (attitudinal loyalty) b) I have 4 questions that mesature LOY BEH (behavioral loyalty) I want to test if "loyalty" consisting for those two ...
0
votes
1answer
26 views

Forecasting model - Scale mismatch

I have the following data: As you can see I want to create a regression model, which forecasts a variable, which I have also on a quartely basis. However, my volume is only on yearly basis. Is ...
0
votes
1answer
10 views

How to test that two covariates have the same impact on dependent variable?

Given the model $y =\beta_0 + \beta_1 x_1 + \beta_2 x_2 + u $ where $x_1$ and $x_2$ have completely different scales and units, is it possible to test whether their impact on $y$ is the same? i.e. ...
0
votes
0answers
25 views

how to estimate scale variance only using item sd's and scale reliability

The problem I encounter is that I need to estimate the scale variance of a psychometric scale without having the original data. The only information I have is the means of the (binary) items, their ...
1
vote
1answer
117 views

how to calculate expected sample scale mean and sd based on the means and sd's of its dichotomous items?

I am developing a new psychometric scale consisting of a several dichotomous items taken from a larger item bank. The p values (item means) are known. Now I need to calculate the expected mean and ...
6
votes
2answers
143 views

Alternative notions to that of proper scoring rules, and using scoring rules to evaluate models

A scoring rule is a means of evaluating an agent's guess of the probabilities associated with a categorical event, given a (categorical) outcome of the event. Depending on the guess and the observed ...
0
votes
0answers
36 views

Likert scale and correlation: when respondents are asked whether or not they agree with a statement

I'm having trouble figuring out how to go about applying correlation and/or regression to a set of Likert scale items that are statements that ask the respondents whether they feel two items are ...
2
votes
0answers
22 views

Comparing two values in a normal distribution after cutting off the tail of the distribution

I'm doing a sports-related analysis about comparing regular-season performance versus playoff performance, in particular which teams tend to do better during the playoffs. Thus, I'm making a "regular ...
1
vote
0answers
15 views

Is there any research that compares Likert scale questions to “satisfaction” scale questions?

I'm trying to put together a questionnaire for measuring employee satisfaction with an internal process. I'd like to figure out if there is reason to prefer: ...
1
vote
1answer
89 views

Creating a disease severity score/index

I am trying to design a numerical scale which would describe the severity of a certain disease (in this particular case anaphylaxis). I have a set of clinical symptoms and a database of patients who ...
2
votes
2answers
117 views

Which measurement level would this be?

I have a variable times of collaboration: the possible answers are 0 (meaning no collaboration), 1, 2, or 3. Would this mean I am dealing with an interval measurement level?
0
votes
0answers
37 views

Recode ordinary scaled variables

Iam trying to make a linear regression in STATA with ordinary scaled(in dataset): dependant variable(0;10) independant variable(0;10) Does anyone know how can recode the variables into metric scaled ...
0
votes
0answers
37 views

Calculating summated scales (factor analysis)

I have read that, when calculating summated scales for each scale in the solution of a factor analysis, as an average of sum of the items comprising each scale, the items with high loadings should be ...
1
vote
0answers
14 views

How to Deal with Peaks and Valleys on Scale Data

I've got a questionnaire/scale from 0-8, let's say it's a mood scale (0 = no depression, 8 = most depressed ever felt), subjects fill in a bubble along the scale, but the numbers aren't there, only ...
0
votes
0answers
18 views

Create scales from binary data

I am currently struggling with a statistics problem, I am in over my head, off the bus as one can say. As part of a research I am measuring incumbent response strategies to the perceived threat of ...
1
vote
1answer
102 views

Calculating Cronbach's alpha: Same scale, multiple instances

I'm working on data analysis for my dissertation, and I'm banging my head against the wall when it comes to Cronbach's alpha. I just completed a pretest; after data cleaning, I have 119 valid and ...
0
votes
0answers
10 views

how to identify items in scale that can be removed (as are measuring the same thing)

I am testing a scale with 17 items. I believe that some items are measuring exactly the same, so I thinkg those can be eliminated from the measurement scale. However, I do not know which test can ...
0
votes
1answer
22 views

tests one multi-question item effect on another multi-question item

I have two Constructs (composite variables), each Construct has its own measurement scale (questions). First Construct is named CETSCALE and it consists of 17 questions, second Construct consists of ...
1
vote
0answers
77 views

Factor analysis with varimax rotation gives very different answer from PCA?

I asked expert raters to evaluate several subject on six dimensions of creativity. Now, I am using factor analysis (factanal()) and PCA(princomp()) to see of these dimensions are measuring distinct ...
0
votes
0answers
37 views

Exploratory Factor Analysis and survey scales

Are there limitations to using EFA on survey data, where some questions have different scales? (ex. some questions are four-point and some are five-point Likert scales; one is on a 10-point scale) ...
0
votes
0answers
19 views

How do you correctly scale a formative latent variables in a structural equation model?

How does one scale a formative latent variable? I know that one option is to multiply one indicator by 1. What I do not understand is that if depending on which indicator is multiplied the direction ...
1
vote
1answer
181 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 ...
1
vote
2answers
68 views

Likert Scale 3 2 1 0 1 2 3 possible?

In my questionnaire I want to ask people to score on a dimensional Likert-type scale their attitude toward a specific target group. E.g. People with .... are stupid.... intelligent. I want to use ...
0
votes
0answers
48 views

Should I standardize or rescale with polynomial regression as alternative to difference scores?

I am working with a model that uses polynomial regression combined with response surface modelling as an alternative to difference scores in regression: ...
1
vote
0answers
315 views

How to normalize the data to [0, 1] in R with data similar to χ²-distribution without shrinking lower values too much?

I want to normalize the data to [0,1], but the distribution of this array is quite not regular, having large quantity of low values and small quantity of large values, almost 80% values of data are in ...
2
votes
2answers
50 views

Scales of Measurement

when we use the term " scales of measurement", what do we mean by scale by Measurement ? As far i know, measurement denotes "a value" and scale denotes "the unit" of the value. So if i say, ...
4
votes
3answers
679 views

When should I apply feature scaling for my data

I started a discussion with a collague of mine and we started to wonder, when should one apply feature normalization / scaling to the data? Lets say that we have a set of features with some of the ...
0
votes
0answers
55 views

Partial least squares regression on survey data with multiple scales

I have a survey data set composed of 7 scales, each scale with 7 to 10 items. The theoretical framework I've devised uses 5 of the scales as independent variables and 2 of the scales as dependent ...
0
votes
2answers
111 views

revert minmax normalization back to original value

i'm training a neural network. Normalization of inputs and outputs (training data) are carried out using min Max to a scale of [0-1]. I'm applying backpropagation learning algorithm. Firstly, i need ...
0
votes
1answer
124 views

libsvm: scaling data results in less features?

I've scaled my training and testing data in BASH like so: ...
1
vote
2answers
86 views

Latent Class Analysis vs Rasch Analysis

I was wondering if anybody could explain the core, philosophical/conceptual differences between Latent Class Analysis and Rasch Analysis. I'm not necessarily referring to the exact mathematical ...
0
votes
1answer
42 views

Need help with deciding on statistical test for three separate instruments

So I am trying to analyze my data. I used the following scales: Brief RCOPE, the Brief Multidimensional Measure of Religiousness/Spirituality (BMMRS), and the Satisfaction with Life scale (SWLS). They ...
2
votes
2answers
133 views

Why does the scaling of feature vectors improve performance of SVM classifier?

I've found that performing scaling in SVM problems really improves the performance of SVM ... But I don't understand why! I have read this explanation: "The main advantage of scaling is to avoid ...
0
votes
1answer
16 views

what “non-continuous nature of scores” means

1) Can someone explain me the idea of this sentence: "It is noted that nonparametric tests were employed because of the non-continuous nature of the scale scores" (this is related to scale validity ...
0
votes
0answers
20 views

first and second order factors

I am not deep into statistics yet, however ,I am reading an article that speaks about measurement scale. It says that some items (A,B,C) are first-order factor, but another item (D) is second-order ...
2
votes
1answer
28 views

scale creation - how to know if concept B is part of concept A or seperate concept

I have to create a survey that will measure customer attitude to home products. Imagine: - I have concept A (it couuld be consumer ethnocentrism, for example). I am going to measure it using 10 items ...
1
vote
0answers
18 views

Choosing between two scales

I am investigating a scale of consumer ethnocentrism - CETSCALE. I do not have much knowledge in econometrics, scales, etc., however: a) research papers report that the standard 17-item scale is ...
2
votes
1answer
39 views

What is the “scale” parameter in “continuous autoregressive model” in cts package?

I am trying to use the "car" command in "cts package" in R program and I see the "scale" parameter there. I wonder whether this can be assumed to be equivalent to time intervals for time series ...
2
votes
1answer
30 views

scale of measurements in sign test and signed rank test

Can some one help me to understand the right scale of measurement to use in sign test as well as in signed rank test? I read a certain book it says nominal scale is used in sign test while ordinal ...
0
votes
0answers
57 views

Summated scales for factors (latent variables)

For summated scales: can I use all the variables that load on a factor or is it necessary to use only the variables with high loading (over 0.70, for example)?
0
votes
1answer
99 views

Eliminated items in Factor Analysis

I'd like to get your opinions on how to interpret items that had to be eliminated in factor analysis (FA). I've been researching consumer shopping motivations and ran a survey with 40 items, which ...