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 'scale construction'.]

324 questions
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Developing a 40-100 scoring system (doesn't work as intended) [closed]

I am using r. I have a dataset with this distribution There are 1275 observations with values ranging from ~ -0.07 to mostly 0.08. I have 4 outliers that are over 0.8 (0.12, 0.12, 0.12 and 0.10). I ...
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Compare scaled values from 2 different groups?

Given a tibble: ...
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which normalization method is appropriate for regression problem?

I have a regression problem. I have 3 features: X1 is in the range (0.7 , 1.3) X2 is in the range (0.4 , 0.5) X3 is in the range (4.5 , 5.5) and Y is in the range (115 , 719) I started trying ...
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Hypothesis testing - Which stat test to use with multiple choices (with both single and multiple responses)

I'm writing my master thesis but I have some problems with the analysis of the data collected using an online survey. The aim of the research is to assess if there are differences between two groups ...
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scale with z-transform with the outliers in the data

I have 2 different columns X1, and X2. As you can see scale of X1 is larger than X2. These 2 columns represent the predicted value of performance of my two products. However the range or scale of X1 ...
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Interesting and unusual dependent variable--how do you think it should be handled?

We have 2 dependent measures, which are both distributed from -4 to +4 in discrete steps. This is because the values are based on people's responses to four questions about whether they spend more ...
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How can I use scaling and log transforming together?

I'm creating a regular linear regression model to establish a baseline before moving on to more advanced techniques. I scaled my data as below: ...
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Regression output scale

I am using XGBoost (gradient boosting) to predict the value of a continuous dependent variable The figure below shows a histogram of both the dependent variable data and the predicted data. (blue is ...
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Ways to compare Likert ratings with non-equal total response count

I have Likert response data like this in which the surveyor asked 188 raters to rate on a 1-5 Likert scale for 6 different stories with the question, "I'd like to hear more stories like this". Some of ...
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comparing 2 surveys on same question but with 2 different scales

I have results from 2 surveys asking the same question. One allows for a single answer, the other allows for up to 2 answers. Is there any way to compare the 2 surveys? He are the numbers: Survey A: ...
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What formula do i use to scale these numbers

If x=51 then y=0 and if x=255 then y=2000 Is there such a formula to find y by using an x value between 51-255
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At what scale to plot variables in different units? [duplicate]

I have 4 series/variables over time. They are in totally different units (monetary, quantities, elasticities, and percentages). I want to make a line plot for each of them. I know it makes no sense to ...
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What is an appropriate way to re-scale ordinal features, for cluster analysis? AND any thoughts on euclidean-distance for ordinal data?

Background I have data from surveys (on political views from CSES) with answers from respondents in ranking-scales, either 0:10 (0, 1, 2, ..., 10) or 0:3 (0, 1, 2, 3). I want to analyze this data ...
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Rescaling model coefficients

I have the following model $y \sim b_0 + Z \theta_0 + X \beta + \sum((X_j \circ Z) \theta_j)$ Where... $Z$ is (n, k) $X$ is (n, p) $\beta$ is (p,) $\theta$ is (p, k) $\theta_0$ is (k,) $\circ$ is ...
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How to create a scale combining normalized percentile scores to get an overall result

I am trying to work out a scale for assessing a person’s risk for a particular behavior (like rob a bank). The likelihood of this behavior occurring or not occurring will be based on scores for a ...
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How do I convert a survey scale [7-point, -3 to 3] to a 7-point scale [1-7]?

I am working with a survey scale that is from -3 to 3. I have a mean value of .94 and I want to identify if there are ceiling effects, but I need to change the entire scale to 1-7 in order to ...
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Whether location is nominal or ordinal in this case?

I have a variable in my data 'location'. It has two categories: 'busy' and 'less busy'. Should I treat it as nominal or ordinal? I think it should be treated as ordinal.
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how to scale count data when I use elastic net model

I'm using elastic net model for my prediction. I have 100 features. 30 of them are numeric values (100-999). The rest of predictors are simply counts, ranging from 0 to 10 (most of them are 0-3). For ...
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Standardizing variables with negative values? [duplicate]

This question here Standardized VS centered variables says you can only standardize or center variables after transforming them into log. Because my variables are in different units, my coefficients ...
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which test to use

I'm wondering which statistics should I use. I’ve conducted an acceptability judgment task using 7 point scale for 8 different conditions. My study has a 2*2*2 factorial design with two level for each ...
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Compare 2 variables in the same group

Hello and happy new year, In a dataset of patients there are 5 variables (var1, var2, var3, var4, var5). Variables var1, var2 and var3 are independent scale measurements of the patients that were ...
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How many factors are there in EFA?

I have been adapting scale. CFA have not confirm structure. Therefore, I did EFA. EFA result showed that scale has four factor. But one factor has one or two item. How is this result interpreted? I ...
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In scale adaptation which should be done first? CFA or Reliability Analysis

I am adapting questionnaire cross-cultural. Questinonnaire has 11 item and two factor. I want to confirm the structure 1 item's corrected item total correlation is <.20. Should this item be ...
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Transforming raw scores to scaled scores using a proprietary scale

I'm working with questionaire answers from the Child Behavior Checklist (CBCL) for my master's thesis. The 113 items on the questionaire are organized into several subscales for different areas of ...
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What is the intuition behind taking the sum of square roots, squared

In a recent publication, the authors report the following transformation when aggregating across three different scales: Cognitive style level was used as a control variable and captured as ...
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Can I merge variables from likert scale and what regression should I use?

I am working in R and currently working on my thesis where I am analyzing if some factors have impact total money spend on virtual items. So I would like to use total money spend as dependent variable ...
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How to tell if your Likert scale score is LOW, AVERAGE, or HIGH?

I found that some Likert Scales doesn't tell you how much you should score to be considered in the LOW, AVERAGE, or HIGH margin? So how do we deal with these scales? If my score is 21 (for example) ...
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Comparing 2 variables of different scales

Imagine you have two time-series of variables, x and y, which both are proxies for the same measure, growth per minutes, for a plant. Further assume that y is the better measure for growth, but it is ...
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Feature Scaling from two different Sources

I have measurements (survey data) from two different sources. The scaling for one discrete attribute is different. The values of the attribute in the first survey are: 1, 2, 3 The values of the ...
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Can a ratio level variable have negative values?

According to Stevens (1946) ratio level variables require an absolute zero. The implication, I believe, is that 0 = an absence of the thing being measured. As such, can ratio level scales have ...
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Why does $[0,1]$ scaling dramatically increase training time for feed forward ANN (1 hidden layer)?

I am using an ANN for classification. My covariates are the relative lagged returns for gold, SPX and Oil. When i do not scale my inputs between 0 and 1 I achieve a fast training time. however after ...
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How to best code the N/A response of the Likert-type rating scale?

Say I have a dataset of people's opinion/"rating" on something, and they have to choose 1 out of 5 possible answers for each question - Very happy, ...
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Scaling/weighting probabilities

I have data which looks like the table below. I am provided with the likelihood of a game to occur (Prob) and the current time in min for that game (Curr_time_min). I would like to create a formula ...
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Examples of variables on interval scale (besides temperature)

Besides temperature, what are some examples of variables on interval scale? Examples from economics and/or finance would be appreciated.
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Is this variable ordinal, interval data or discrete?

We asked people to evaluate their skills in different fields with this kind of question: " On a scale from 1 to 5, how would you qualify your skills in Field A, with 1 been 'Not skilled at all' and 5 ...
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Turning a player's points value into a 1-10 match rating scale? [closed]

So I have the players "fantasy score" stat. This stat is the sum of their ingame stats multiplied by preset weights. These weights are from the video game DOTA 2's official fantasy points weights. For ...
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Dealing with a dataset having target values on different scales?

I am currently working on a dataset having 10 features and one continuous target variable. One of the features is 'Country' , in which there are seven unique values [Argentina ,Denmark , France...etc]....
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Does it make sense having scale and log transformed variables to select models?

I have several data to work with in order to select models. Some of the predictor variables vary from 0 to more than 2000 square meters(Area). And some goes from 200 to 800 meters(Altitude). Others ...
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How to re-scale probabilities based on new cutoff point?

Suppose in a risk analysis study one component that needs to be estimated is probability of a binary event. We use a classification method, SVM for example, and achieve very good classification ...
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Combine Likert Scale with accuracy of responses

I am trying to transform my experiment results into variables and I am having some issues. Data: One likert scale 1-9 ( 1 = " I am sure I havent seen this before” 5 = "Not sure” 9 = “I am sure I’ve ...
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What does scale exactly mean?

I am not so familiar with statistical concepts. I am preparing a questionnaire to measure underlying constructs that affect pedestrian's road crossing behavior. However, I came across this term called ...
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Approach to scale the size of investment with a wide extreme for visualization [closed]

(I've posted this on StackOverflow--visualization--but got no response yet, so I'm trying to cross post here in the hope that more people with statistical and math knowledge can help make suggestion) ...
391 views

Regression with Likert Scales

My study I have seven independent variables (likert scales 1-5) who are skewed to the right. I have one independent variable (likert item 1-5) which is skewed to the left. With SPSS (24) I want to ...
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Would “percentage of correct answers” be considered interval or ratio data?

I'm currently working on a research assignment an I'm trying to determine whether a dependent variable like "percentage of correct answers" would be considered interval or ratio data. I was originally ...
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Which tests for ordinal data (7 point scale)? Chi Test?

I have a table as shown below. This has participants' intent to purchase a product (dependent variable) from a particular country (independent variable) on a 7 point scale (1-not likely to 7-very ...
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Interpreting regression coefficients based on Andrew Gelman's re-scaling method

I have two predictors in a binary logistic regression model: One binary and one continuous. My primary goal is to compare the coefficients of the two predictors within the same model. I have come ...
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linearize scales of a questionnaire

Unfortunately, I collected my data using different Likert scales instead of using a uniform standard scale. For example for Q1 of the questionnaire I have used a scale from 1 (Low) - 4 (High), Q2: 0 (...
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Best way to scale or normalize this data

I have following data: ...