Skewness (-0.46 to 0.20) and kurtosis (−1.00 to −0.60) values were within critical limits (Kline,2005); hence, neither the BAS-2 scale nor any item therein was transformed. Cronbach’s alphas were calculated separately for all three gender groups and were within acceptable limits in eac...
Step 1: Sort your data from low to high First, you’ll simply sort your data in ascending order. 2224262829313537415364 Step 2: Identify the median, the first quartile (Q1), and the third quartile (Q3) Themedianis the value exactly in the middle of your dataset when all values are order...
If the data for yourvariabletakes the form of numerical values, order the values from low to high. If it takes the form of categories or groupings, sort the values by group, in any order. Identify the value or values that occur most frequently. ...
Step 4 – Plot a Graph of Skewness and Kurtosis Select the data inBin IntervalsandFrequency. Go toInsertand chooseScatter, then selectScatter with Smooth Lines. You will get your graph ofskewnessandkurtosis. Notes: If you want to format the chart title, axis title, gridlines others, you ca...
A good level of COVID-19 related health literacy (CRHL) is essentially necessary for full compliance of the public with prevention and control measures, which can help people identify the fake news, trigger the public’s early and immediate response to the epidemic, and promote people to take...
Boaters did not consider themselves as Sight Seekers, and Beach Bums did not identify with the History Buff category. The other types corresponded to their respective activities. Later, the same authors studied if the proposed travel personalities could predict the activities and/or places to be ...
1. A brief introduction to latent profile analysis LPA aims to identify types, or groups, of people that have different configural profiles of personal and/or environmental attributes. In the domain of vocational behavior, frequently these personal and environmental attributes are psychological constructs...
Figure out if our data distribution is normal or skewed (and the direction of skewness). Identify the spread of our data. Detect outliers and their magnitude. Estimate data variability. Determine the best measure of center (median or mean). Compare the distribution of multiple categories next t...
38 first introduced topic modeling methods to text mining in sustainable fashion literature. The study conducted an exhaustive literature review using the Scopus database. It analyzed 658 articles using text mining and topic modeling (LDA) techniques to identify key trends and themes from manufacturing...
But you can sometimes also identify the median for ordinal data.Ordinal data is organized into categories with a rank order – for example language ability level (beginner, intermediate, or fluent) or level of agreement (strongly agree, agree, etc.)....