Questions tagged [scales]

Scales used to express measurements. Usually ratio, interval, ordinal or nominal types of scales are recognized. Dichotomous and count types are sometimes seen as their own. Other classifications exist. [For "scale" as a sum of individual items in psychometry - see also tag 'psychometrics'.]

Filter by
Sorted by
Tagged with
1
vote
0answers
96 views

Change in numerical values and troubles for rescaling data

Here is my problem, a step in the analysis that should be quick & easy, but... I have very various scales in my data and need to rescale my variables to compare them more efficiently in a lmer as ...
3
votes
1answer
48 views

Is my data ordinal?

I am comparing three groups of participants, who gave ratings during a certain test on a scale from $1$ to $4$ (with $0.25$ steps). I was planning to do an ANOVA, but realized that a thing such as the ...
3
votes
1answer
892 views

Scaling after Principal Component Analysis

I am attempting to model the yield of various crops as a function of weather data, namely one temperature variable and 7 moisture-related variables (measuring different aspects of moisture content). ...
1
vote
0answers
49 views

Likert scale with linear form input control

If I want to collect the order of agreement with a statement in a questionnaire, I’d traditionally use an ordinal Likert scale, most likely with classic 5 points, but maybe 4, 6 or 7 and perhaps with ...
1
vote
0answers
160 views

Comparing different scale ranges for one Likert scale instrument

I don't believe this exact question has been asked before. I am conducting a meta-analysis on a certain Likert scale survey instrument that has been psychometrically validated. It is a 16 question ...
0
votes
1answer
5k views

what am i supposed to do if realiability test not up to 0.7?

hye. i have gathered 257 questionnaires with 43 variables the requirement for my research department need me to make the reliability test up to 0.7 or else it consider not reliable.But mine is 0.5. ...
2
votes
0answers
105 views

Scale a set of probabilities so their sum is a target value [closed]

I have a set of probabilities; e.g. $p = (0.95, 0.9, 0.6)$ I want to scale them up so that their sum moves from $\sum p = 2.45$ to $\sum p^* = 2.5$. I think I need normalise to ensure the rescaled ...
1
vote
1answer
473 views

Analytic Hierarchy Process (AHP) - factor weight score

As title mentioned, how to determine the 'scale of relative importance' point for factor weight score? Besides, I have read some example of ahp saying there are 1-9 point, 1-5 point (1,2,3,4,5) and ...
0
votes
2answers
80 views

aggregating constructs by Group

This is probably a very basic question; I have a data-frame with a fake questionnaire with three sets of questions measuring three constructs. I'm currently reading some research papers which in ...
0
votes
1answer
98 views

Measure heterogeneity among multiple samples and scale variables

I would like to know what are the available statistical measures for quantifying heterogeneity on data that look like this... ...
1
vote
1answer
92 views

Normalizing the Turbulence index to match other indices

I calculated the index of complexity, longitudinal entropy, and turbulence for my data. The first two indicators vary from 0 to 1, whereas turbulence varies between 1 and 16 for one dataset and ...
0
votes
1answer
57 views

Can one calculate a general mean for questions that use different scale length?

I have two sets of questions: 1). 5 questions with answer options from 0 to 10 (very unsatisfied to very satisfied) and 2). 9 questions with answer options from 1 to 6 (same meaning) The study was ...
1
vote
2answers
598 views

Statistical questions related to Deep Learning

I have questions regarding this Normalized weights and Initial inputs video on Udacity course Deep Learning. In this video it talks about variables that go into Big-loss function should have zero ...
3
votes
1answer
133 views

Correspondence between two different depression scales?

I have become involved in a project where psychiatrists are studying the correspondence between two scales measuring the level of depression among a specific patient group. One of the scales is for ...
2
votes
0answers
164 views

How to find the correct spatial scale in landscape ecology?

I am currently studying the effect of organic farming on honeybee colonies. I have calculated the percentage of organic land in several buffer areas around the hives (from 100m to 3000m in 100m steps) ...
2
votes
1answer
1k views

Is a glm appropriate with the dependent variable on an interval scale?

Data has to meet some criteria concerning scale if you want to use a GLM. For Ordinally scaled dependent variables GLM's are clearly not appropriate for example. I couldn't find anything which speaks ...
0
votes
1answer
124 views

Effects in metaanalysis forest plots - what are the conclusions?

In metaanalysis results are often reported in forest plots, where multiple studies are included. Different, continuous outcome scales are used to measure the effect of a treatment on the course of a ...
1
vote
0answers
56 views

MLE: Does the scale of predictor variables affect whether the hessian is positive definite?

I am trying to fit a regression via maximum likelihood estimation, one of the regression terms involves $\beta_0e^{(\beta t)}$ where $t$ is measured in hours and has a range of 0 to 90 days. The ...
13
votes
2answers
3k views

Sum of rating scores vs estimated factor scores?

I'd be interested to receive suggestions about when to use "factor scores" over plain sum of scores when constructing scales. I.e. "Refined" over "non-refined" methods of scoring a factor. From ...
5
votes
1answer
5k views

RMSE is scale-dependent; is RMSE%?

I've got a graph of RMSE% vs. unit size and it declines nicely. Is this scale-dependence or does the "%" compensate for that? $$ \text{RMSE%} = 100\% \cdot \frac{\sqrt{\frac{1}{n}\Sigma_{i=1}^n (y_i ...
1
vote
1answer
47 views

Evaluating a pretreatment predictor with repeated measures ordinal data

I am currently attempting to study whether particular baseline factors predict pre/post changes in relation to a substance use intervention. However, a few things have me stumped. Our substance use ...
1
vote
0answers
904 views

Is there a correct way of comparing two different 'scales' of the same range?

Is there a correct way of comparing two different scales (for example; data which comes from a 4 option question and data which comes from a 7 option question) given that both datasets have the same ...
5
votes
1answer
1k views

How to interpret the fit of cfa (sem) outcome?

I did some CFA analyses (using R package Lavaan) on several scales in order to check the unidimensionalities. If I understood well scale 5, 6 and 7 can be considered a good fit because of the RMSEA &...
0
votes
1answer
271 views

Combining binary and ordinal variables in a single scale for use as dependent variable

My brain is failing to come up with the right search terms to remind myself how to do this... I have two variables, one indicating a yes/no decision and the second indicating the respondent's ...
0
votes
1answer
75 views

How can I make a grading scale more objective?

I want to come up with an at least slightly more objective scale than the one found here: https://www.profootballfocus.com/about/how-we-grade/ In the link, each play for each football player is ...
1
vote
0answers
16 views

Question about scales and z-scores

I have 1000+ evaluations of 65 students by faculty. Two different eval forms, each evaluating the student in 5 areas, but 2 different scales: 1 a 3-pt scale; the other a 4-point scale.I'm thinking ...
0
votes
1answer
147 views

Can Best-worst (Max-diff) scaling experimental designs be blocked?

To enable a large number of items to be used (i.e. generally more than 15 or 20), can Best-worst (Max-diff) scaling experimental designs be blocked for respondents? Could anyone suggest any material ...
1
vote
0answers
127 views

How to justify construct validity when items dropped from established instrument?

I conducted a survey in which I used the Major Depression Inventory (MDI). While analyzing this instrument (as my Depression construct) in SmartPLS, I iteratively dropped items that had non-...
0
votes
1answer
221 views

Combining two scales

So, I have two scales, A and B, both ranging from 0 to 10. I would like to combine these into one as follows: At one endpoint, high values on A and high values on B At the other endpoint, high values ...
3
votes
1answer
336 views

Non-Significant difference between individual items, but significant difference between overall scores

Say that we have a scale measuring Healthiness of Diet, and want to see if two populations have different levels of Healthiness of Diet. If we find that the difference between the two samples at the ...
2
votes
1answer
734 views

Assessing distribution of a Likert scales

I am looking to analyse Likert scales, and want to assess whether there is 'sufficient variation' along the scale [i.e. that the majority of respondents are not 'clumped together' or a particular ...
7
votes
2answers
9k views

Can binary data be ordinal?

Binary data is often mentioned as a nominal sub-category, especially in such examples as female/male, smoker/non-smoker, etc. However, binary data with such values as pass/fail, correct/incorrect, ...
2
votes
1answer
180 views

What level of measurement are names by letters?

A respondent had to correctly recall the name of a character from the scenario. Both the first and the last names consisted of 5 letters each. For each letter, the respondent would get 0.2 points. If ...
1
vote
1answer
161 views

variable transformation in optimization

I have an optimization problem with two sets of parameters, $x_i \in [0,1]$ and $y_k \in [-\frac{\pi}{2},\frac{\pi}{2}]$ where $i,k \in \{1...n\}$ are indices. One way to solve this problem is using ...
2
votes
0answers
227 views

Computation of factors after factor analysis

I have run a principal axis factor analysis and I want to form scales for each factor. To be more specific, after having run the FA, I would like to select all items that load in a specific factor and ...
0
votes
1answer
479 views

Scikit-learn Scaled Data - Means Not Zero

I tried to scale the data by referring to the link as follow: http://scikit-learn.org/stable/modules/preprocessing.html However, when I checked the data distribution, the mean returned is NOT ZERO. ...
6
votes
2answers
2k views

Rule of thumb for using logarithmic scale

When I am given a variable, I usually decide whether to take its logarithm based on gut feeling. Usually I base it on its distribution - if it has long tail (like: salaries, GDP, ...) I use logarithms....
0
votes
1answer
488 views

How can I represent the difference between two values relative to the magnitude of the values?

I have a series of values: here's a sample: ...
1
vote
0answers
812 views

Age rounded down. Ordinal or Ratio?

Usually age is rounded down (i.e $15.7\simeq 15$). So shouldn't we treat it as an ordinal and not a ratio scale variable? If this is a duplicate question, please refer me to the duplicated question.
1
vote
0answers
72 views

Likert scale dependent variables [duplicate]

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 ...
4
votes
0answers
209 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
2k 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 (PCA)....
5
votes
0answers
164 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 coordinates)...
1
vote
2answers
3k 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 ...
1
vote
1answer
48 views

Scaling behavior of the width of a distribution

I'm considering the following distribution on the interval $[-1,1]$: $$p(x)=\frac{1}{N}(1-x)^{n-p}(1+x)^p$$ where $N$ is a normalization factor while $n, p \in \mathbb N $ and $2\leq n$ and $ 1\leq ...
0
votes
1answer
42 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 it ...
-1
votes
1answer
42 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. ...
2
votes
1answer
1k 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 ...
9
votes
2answers
836 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 ...
2
votes
0answers
130 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 2 3
4
5
8