This document discusses the concept of measurement. It defines measurement as perceiving and understanding characteristics of objects, people, or activities based on specific standards and units. There are four factors of measurement: the object or person being measured, the characteristic being measured, the tools used to measure, and the person doing the measuring. Variables can be qualitative or quantitative, with quantitative variables further divided into continuous and discrete. There are four levels or scales of measurement: nominal, ordinal, interval, and ratio, with each level building on the previous and allowing for more complex analysis and calculations with the data.
Understanding data type is an important concept in statistics, when you are designing an experiment, you want to know what type of data you are dealing with, that will decide what type of statistical analysis, visualizations and prediction algorithms could be used.
#data #data types #ai #machine learning #statistics #data science #data analytics #artificial intelligence
Understanding the Scales of MeasurementDrShalooSaini
This Power Point Presentation has been made while referring to the research books written by eminent, renowned and expert authors as mentioned in the references section. The purpose of this Presentation is to help the research students in developing an insight about the Scales of Measurement.
Understanding data type is an important concept in statistics, when you are designing an experiment, you want to know what type of data you are dealing with, that will decide what type of statistical analysis, visualizations and prediction algorithms could be used.
#data #data types #ai #machine learning #statistics #data science #data analytics #artificial intelligence
Understanding the Scales of MeasurementDrShalooSaini
This Power Point Presentation has been made while referring to the research books written by eminent, renowned and expert authors as mentioned in the references section. The purpose of this Presentation is to help the research students in developing an insight about the Scales of Measurement.
measurement and scaling is an important tool of research. by following the right and suitable scale will provide an appropriate result of research.this slide show will additionally provide the statistical testing for research measurement and scale.
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 1: Introduction to Statistics
Section 1.2: Types of Data, Key Concept
Measurement is the process observing and recording the observations that are collected as part of a research effort.
Process of assigning numbers to objects or observations, the level of measurement being a function of the rules under which the numbers are assigned.
“convert the basic materials of the problem to data”
This presentation is on Measurement and it's scales. There are four different types of scales of measurement, namely, Nominal, Ordinal, Interval and Ratio
Business Research Method - Unit III, AKTU, Lucknow SyllabusKartikeya Singh
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Research Methodology - Topics Covered - Scaling & Measurement techniques: Concept of Measurement: Need of Measurement; Problems in measurement in management research – Validity and Reliability. Levels of measurement – Nominal, Ordinal, Interval, Ratio.
Attitude Scaling Techniques: Concept of Scale – Rating Scales viz. Likert Scales, Semantic Differential Scales, Constant Sum Scales, Graphic Rating Scales – Ranking Scales – Paired comparison & Forced Ranking – Concept and Application.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
measurement and scaling is an important tool of research. by following the right and suitable scale will provide an appropriate result of research.this slide show will additionally provide the statistical testing for research measurement and scale.
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 1: Introduction to Statistics
Section 1.2: Types of Data, Key Concept
Measurement is the process observing and recording the observations that are collected as part of a research effort.
Process of assigning numbers to objects or observations, the level of measurement being a function of the rules under which the numbers are assigned.
“convert the basic materials of the problem to data”
This presentation is on Measurement and it's scales. There are four different types of scales of measurement, namely, Nominal, Ordinal, Interval and Ratio
Business Research Method - Unit III, AKTU, Lucknow SyllabusKartikeya Singh
Business Research Method - Unit III, AKTU, Lucknow Syllabus,
Research Methodology - Topics Covered - Scaling & Measurement techniques: Concept of Measurement: Need of Measurement; Problems in measurement in management research – Validity and Reliability. Levels of measurement – Nominal, Ordinal, Interval, Ratio.
Attitude Scaling Techniques: Concept of Scale – Rating Scales viz. Likert Scales, Semantic Differential Scales, Constant Sum Scales, Graphic Rating Scales – Ranking Scales – Paired comparison & Forced Ranking – Concept and Application.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
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2. Meaning and definition of measurement
• Measurement is the process by which a characteristics of an
object,person or activity is perceived andunderstood on
specific standards and is described in standard words,symbol
and definite units.
• Thorndike,1918 “Anything that exists at all,exists in some
quantity,anything that exists in some quantity is capable of
being measured”.
• “Anythingthat exists in mount can be measured.”
3. Factors of measurement
• The above definition of measurement show that there are
four factors of measurement
• 1, The object ,person or activity any of which characteristics
has to be measured.
• 2, The characteristics of that object person or activity which
had to be measured.
• 3, The tools and devices of measuring such characteristic.
• 4, The person who measures it .
4. Measuring variables and their types
• Variable are two types –Qualitative variables and
Quantitative variables
• Qualitative variables-Some qualities of objects and person are such which
can only be perceived but they can not be measured in definite units,for
examplet caste,religion and sex of people. These qualities or characteristics
are called qualitative variable.
• Quantitative variable-variables-Some qualities of objects and
person are such which can be measured in definite units,or
quantity, forexample, height,weight,and I.Q.of person .Such
qualitities of persons are called quantitative variable.
• Quantitative varible are two types
• 1 Continuous variables
• 2 Descrete variables
5. Levels or Scales of measurement
• S.S.Stevens has devided the process of measurement in to four level or sclae
• 1 ,Noninal scale- The nominal level of measurement is the lowest of the four
ways to characterize data. Nominal means "in name only" and that should help to
remember what this level is all about. Nominal data deals with names, categories, or
labels.
• Data at the nominal level is qualitative. Colors of eyes, yes or no responses to a survey,
and favorite breakfast cereal all deal with the nominal level of measurement. Even
some things with numbers associated with them, such as a number on the back of a
football jersey, are nominal since it is used to "name" an individual player
• 2 Ordinal scale – The next level is called the ordinal level of measurement. Data at
this level can be ordered, but no differences between the data can be taken that are
meaningful.
• Here you should think of things like a list of the top ten cities to live. The data, here ten
cities, are ranked from one to ten, but differences between the cities don't make much
sense. There's no way from looking at just the rankings to know how much better life is
in city number 1 than city number 2.
• Another example of this are letter grades. You can order things so that A is higher than
a B, but without any other information, there is no way of knowing how much better an
A is from a B.
• As with the nominal level, data at the ordinal level should not be used in calculations.
6. continue
• 3, Interval Scale The interval level of measurement deals with data
that can be ordered, and in which differences between the data does
make sense. Data at this level does not have a starting point.
• The Fahrenheit and Celsius scales of temperatures are both examples of
data at the interval level of measurement. You can talk about 30 degrees
being 60 degrees less than 90 degrees, so differences do make sense.
However, 0 degrees (in both scales) cold as it may be does not represent
the total absence of temperature.
• Data at the interval level can be used in calculations.
• 4 ,Ratio scale The fourth and highest level of measurement is the ratio
level. Data at the ratio level possess all of the features of the interval level,
in addition to a zero value. Due to the presence of a zero, it now makes
sense to compare the ratios of measurements. Phrases such as "four
times" and "twice" are meaningful at the ratio level.
• Distances, in any system of measurement, give us data at the ratio level. A
measurement such as 0 feet does make sense, as it represents no length.
Furthermore, 2 feet is twice as long as 1 foot. So ratios can be formed
between the data.
• At the ratio level of measurement, not only can sums and differences be
calculated, but also ratios. One measurement can be divided by any
nonzero measurement, and a meaningful number will result.