RESEARCH NOTES( measurement scale)
what are the types of measurement scale?
Types of measurement scales:
Measurement is central to any enquiry.
The greater the refinement in the unit of measurement of a variable, the greater the
confidence, other things being equal, one can place in the findings.
S.S.Stevens has classified the different types of into four categories:
• Nominal or classificatory scale
• Ordinal or ranking scale
• Interval scale
• Ratio scale
The nominal or classificatory scale:
A nominal scale enables the classification of individuals, objects or responses into
subgroups based on a common/shared property or characteristic.
A variable measured on a nominal scale may have one, two or more subcategories
depending upon the extent of variation.
For example, ’water’ or ‘tree’ have only one subgroup, whereas the variable “gender”
can be classified into two sub-categories: male and female. ‘Hotels’ can be classified
into —- sub-categories.
The sequence in which subgroups are listed makes no difference as there is no
relationship among subgroups.
The ordinal or ranking scale:
Besides categorizing individuals, objects, responses or a property into subgroups on
the basis of common characteristic, it ranks the subgroups in a certain order.
They are arranged either in ascending or descending order according to the extent a
subcategory reflects the magnitude of variation in the variable.
For example, ‘income’ can be measured either quantitatively (in rupees and paise) or
qualitatively using subcategories ‘above average’, ‘average’ and ‘below average’. The
‘distance’ between these subcategories are not equal as there is no quantitative unit of
measurement.
‘Socioeconomic status’ and ‘attitude’ are other variables that can be measured on
ordinal scale.
The interval scale:
An interval scale has all the characteristics of an ordinal scale. In addition, it uses a
unit of measurement with an arbitrary starting and terminating points.
For example,
Celsius scale: 0*C to 100*C
Fahrenheit scale: 32*F to 212*FThe ratio scale:
Attitudinal scales: 10-20
21-30
31-40 etc
A ratio scale has all the properties of nominal, ordinal and interval scales plus its own
property:the zero point of a ratio scale is fixed, which means it has a fixed starting
point. Since the difference between intervals is always measured from a zero point,
this scale can be used for mathematical operations.
The measurement of variables like income, age, height and weight are examples of
this scale. A person who is 40 year old is twice as old as one who is 20 year old.
Constructing hypotheses:
As a researcher you do not know about a phenomenon, but you do have a hunch to
form the basis of certain assumption or guesses. You test these by collecting
information that will enable you to conclude if your hunch was right.
The verification process can have one of the three outcomes. Your hunch may prove
to be: 1. right;
2. partially right; or
3. wrong.
Without this process of verification, you cannot conclude anything about the validity
of your assumption.
Hence, a hypotheses is a hunch, assumption, suspicion, assertion or an idea about a
phenomenon, relationship or situation, the reality or truth of which you do not know.
A researcher calls these assumptions/ hunches hypotheses and they become the basis
of an enquiry.
In most studies the hypotheses will be based upon your own or someone else’s
observation.
Hypotheses bring clarity, specificity and focus to a research problem, but are not
essential for a study.
You can conduct a valid investigation without constructing formal hypotheses.
The functions of hypotheses:
• The formulation of hypothesis provides a study with focus. It tells you what
specific aspects of a research problem to investigate.
• A hypothesis tells you what data to collect and what not to collect, thereby
providing focus to the study.
• As it provides a focus, the construction of a hypothesis enhances objectivity in a
study.
• A hypothesis may enable you to add to the formulation of a theory. It enables
you to specifically conclude what is true or what is false.Step 4. PREPARING THE RESEARCH DESIGN
Research design is the conceptual structure within which research would be
conducted.
The function of research design is to provide for the collection of relevant information
with minimal expenditure of effort, time and money.
The preparation of research design, appropriate for a particular research problem,
involves the consideration of the following :
1. Objectives of the research study.
2. Method of Data Collection to be adopted
3. Source of information—Sample Design
4. Tool for Data collection
5. Data Analysis– qualitative and quantitative
1. Objectives of the Research Study: Objectives identified to answer the research
questions have to be listed making sure that they are:
a) numbered, and
b) statement begins with an action verb.
2. Methods of Data Collection: There are two types of data
Primary Data— collected for the first time
Secondary Data—those which have already been collected
and analysed by someone else.