This document discusses different types of scales and scaling techniques used in research. There are four main types of measurement scales: nominal, ordinal, interval, and ratio scales. Nominal scales classify objects without quantitative values, ordinal scales rank objects, interval scales have equal differences between variables, and ratio scales have absolute values with zero as a meaningful point. Common scaling techniques include Guttman scales which determine attitude specificity, Likert scales which measure levels of agreement, and semantic differential scales which allow comparing concepts on a spectrum between two extremes.
caling is the branch of measurement that involves the construction of an instrument that associates qualitative constructs with quantitative metric units. Scaling evolved out of efforts in psychology and education to measure “unmeasurable” constructs like authoritarianism and self-esteem. In many ways, scaling remains one of the most arcane and misunderstood aspects of social research measurement. And, it attempts to do one of the most difficult of research tasks – measure abstract concepts.
Most people don’t even understand what scaling is. The basic idea of scaling is described in General Issues in Scaling, including the important distinction between a scale and a response format. Scales are generally divided into two broad categories: unidimensional and multidimensional. The unidimensional scaling methods were developed in the first half of the twentieth century and are generally named after their inventor. We’ll look at three types of unidimensional scaling methods here:
Thurstone or Equal-Appearing Interval Scaling
Likert or “Summative” Scaling
Guttman or “Cumulative” Scaling
In the late 1950s and early 1960s, measurement theorists developed more advanced techniques for creating multidimensional scales. Although these techniques are not considered here, you may want to look at the method of concept mapping that relies on that approach to see the power of these multivariate methods.
Scope of research - Research Methodology - Manu Melwin Joymanumelwin
Technological innovations: Research is conducted to know & adapt new technological innovations, developments in machinery, method, etc. used . For e.g., to know level of use of information technology e.g. Networking, Tally, SAP, etc. in the organization.
caling is the branch of measurement that involves the construction of an instrument that associates qualitative constructs with quantitative metric units. Scaling evolved out of efforts in psychology and education to measure “unmeasurable” constructs like authoritarianism and self-esteem. In many ways, scaling remains one of the most arcane and misunderstood aspects of social research measurement. And, it attempts to do one of the most difficult of research tasks – measure abstract concepts.
Most people don’t even understand what scaling is. The basic idea of scaling is described in General Issues in Scaling, including the important distinction between a scale and a response format. Scales are generally divided into two broad categories: unidimensional and multidimensional. The unidimensional scaling methods were developed in the first half of the twentieth century and are generally named after their inventor. We’ll look at three types of unidimensional scaling methods here:
Thurstone or Equal-Appearing Interval Scaling
Likert or “Summative” Scaling
Guttman or “Cumulative” Scaling
In the late 1950s and early 1960s, measurement theorists developed more advanced techniques for creating multidimensional scales. Although these techniques are not considered here, you may want to look at the method of concept mapping that relies on that approach to see the power of these multivariate methods.
Scope of research - Research Methodology - Manu Melwin Joymanumelwin
Technological innovations: Research is conducted to know & adapt new technological innovations, developments in machinery, method, etc. used . For e.g., to know level of use of information technology e.g. Networking, Tally, SAP, etc. in the organization.
Characteristics of a Good Sample
Representativeness
Absence of sampling error
Economically viable
Generalized and applicable
Goal oriented
Proportional
Randomly Selected
Actual information provider
Practical
Its a fully detailed topic about Editing , Coding, Tabulation o Data in research work.
The editing , coding , tabulation of data is been explained in this ppt.
Questionnaire /Schedule design is a systematic approach/process of including relevant questions in a questionnaire in such a way that the best or accurate responses are obtained from respondent with very little / no discomfort on the part of the respondent as well as the enumerator.The most important part of the survey process is the creation of questions that accurately measure the opinions, experiences and behaviors of the target group. Questionnaire / Schedules design is one of the most critical stages in the survey research process and therefore has to be given the utmost attention. This power point presentation will guide you through schedules and questionnaire design.
Validate data
Questionnaire checking
Edit acceptable questionnaires
Code the questionnaires
Keypunch the data
Clean the data set
Statistically adjust the data
Store the data set for analysis
Analyse data
Methods of data collection (research methodology)Muhammed Konari
Included all types of data collection.Includes primary data collection and secondary data collection. Described each and every classification of Data collections which are included in KTU Kerala.
Scaling is the process of measuring or ordering entities with respect to quantitative attributes or traits. With comparative scaling, the items are directly compared with each other .In non -comparative scaling each item is scaled independently of the others.
Characteristics of a Good Sample
Representativeness
Absence of sampling error
Economically viable
Generalized and applicable
Goal oriented
Proportional
Randomly Selected
Actual information provider
Practical
Its a fully detailed topic about Editing , Coding, Tabulation o Data in research work.
The editing , coding , tabulation of data is been explained in this ppt.
Questionnaire /Schedule design is a systematic approach/process of including relevant questions in a questionnaire in such a way that the best or accurate responses are obtained from respondent with very little / no discomfort on the part of the respondent as well as the enumerator.The most important part of the survey process is the creation of questions that accurately measure the opinions, experiences and behaviors of the target group. Questionnaire / Schedules design is one of the most critical stages in the survey research process and therefore has to be given the utmost attention. This power point presentation will guide you through schedules and questionnaire design.
Validate data
Questionnaire checking
Edit acceptable questionnaires
Code the questionnaires
Keypunch the data
Clean the data set
Statistically adjust the data
Store the data set for analysis
Analyse data
Methods of data collection (research methodology)Muhammed Konari
Included all types of data collection.Includes primary data collection and secondary data collection. Described each and every classification of Data collections which are included in KTU Kerala.
Scaling is the process of measuring or ordering entities with respect to quantitative attributes or traits. With comparative scaling, the items are directly compared with each other .In non -comparative scaling each item is scaled independently of the others.
Measurement is a procedure for assigning symbols, letters, or numbers to empirical properties of variables according to rules. A Scale is a tool or mechanism by which individuals are distinguished as to how they differ from one another on the variables of interest to our study There are four levels of measurements: nominal, ordinal, interval, and ratio. The measurement scales, commonly used in marketing research, can be divided into two types; comparative and non-comparative scales. A number of scaling techniques are available for measurement of attitudes. There is no unique way that you can use to select a particular scaling technique for your research study.
It Covers basic tool-kit of scales that can be used for the purposes of marketing research. The measurement scales covered are into two groups; comparative and non-comparative scales. The examples further simplifies the Understanding.
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The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
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Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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Phyto-Pharmacological Screening, New Strategies for evaluating
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2. SCALING:
According to Edwards, It can be defined as,
”Procedure for the assignment of numbers (or other
symbols) to a property of objects in order to impart
some of the characteristics of numbers to the properties
in question”.
3. Types of Scales:
There are basically four types of measurement scales.
They are:
1) Nominal Scale
2) Ordinal Scale
3) Interval Scale
4) Ratio Scale
4. i) Nominal Scale:
•This is the fundamental form of measurement scale.
•This scale is used to categorize or classify the object.
•The values represented in this scales need not be
necessarily quantitative values, this makes it
qualitative in nature.
Example:
1) Gender of a person:
a) Male b) Female
2) Educational status of a person:
a)Literate b)Illiterate
5. ii) Ordinal Scale:
•This scale seeks to RANK the given data on the basis
of its characteristics.
• The respondents are required to rank the objects from
highest to lowest preferential order.
• In this scale, the responses have nominal properties
and also go a step further and attempt to relatively
quantify the data by assigning values.
6. ii) Ordinal Scale: cont…
Example:
Consumers may be asked to rank five popular brands of
automobiles on a scale of 1 to 5, with 1 representing the most
preferred and 5 representing the least.
1) Maruti Suzuki __________
2) Hyundai __________
3) Tata Motors __________
4) Ford __________
5) Renault __________
7. iii) Interval Scale:
•In this scale, relative values are assigned to the
variables.
•This scale is improvement over ordinal scale.
•In this the difference between two variables is equal.
Example:
1) The difference between 100 degrees and 110 degrees
is same as the difference between 60 degrees and 70
degrees.
8. iii) Interval Scale: cont…
Example:
2) What is your age? (choose the answer)
a) Below 10 years _______
b) 10 to 20 years _______
c)20 to 30 years _______
d) 30 to 40 years _______
9. iv) Ratio Scale:
•It is the most refined and sophisticated form of scale.
•In ratio scale the variables do not have a relative value
but an absolute value.
•In this the absence of any characteristic denoted with
the value zero.
For Example:
1)100 Kelvin is twice as hot as 50 Kelvin
2)100 Kg is twice as heavy as 50 Kg
10. SCALING TECHNIQUES
1) Guttman scale
2) Likert Scale
3) Semantic Differential Scale
Note: The above three scaling techniques comes under
rating scales.
11. 1) Guttman Scale:
• This scale is generally formulated in a dichotomous format(
“agree” or “disagree” type statements).
• This scale is used to determine the level of specificity of an
attitude.
Example:
Checkmark the below statements with which you agree:
1) I love my father ( )
2) I love my father more than my job ( )
3) I love my father more than my home ( )
4) I love my father more than my mother ( )
12. 2) Likert Scale:
•This scale is one of the most widely used scales in research.
•These scales are mostly used in questionnaires in surveys.
•This scale is constructed with the help of five or seven points where
the levels of agreement are mentioned regarding a statement.
Example: A person may be asked to select the level of agreement on
the following statements.
Environment of a family affects the mental growth of a child:
1) Strongly disagree ( )
2) Disagree ( )
3) Neither agree nor disagree ( )
4) Agree ( )
5) Strongly agree ( )
13. 3) Semantic Differential Scale:
• It is constructed using seven points.
• At both the ends of the scale, two extreme values are
associated related to a concept.
• It is usually conducted to know the perceptions about
a brand or a company or a product etc.
• It allows comparing the company’s products with
other competitor products.
14. 3) Semantic Differential Scale: cont…
Example: The taste and quality of food in a restaurant:
Very satisfactory
a) +3
b) +2
c) +1
d) 0
e) -1
f) -2
g) -3
Very unsatisfactory