what is an operationsl definiton of religion to be usedin a research project

Ane of the keys to successful research, in addition to careful planning, is the use of operational definitions in measuring the concepts and variables nosotros are studying or the terms we are using in our research documents.

The specific style in which a variable is measured in a detail study is called the operational definition.

It is critical to operationally ascertain a variable in club to lend credibility to the methodology and to ensure the reproducibility of the results of the written report. Some other study may identify the same variable differently, making it difficult to compare the results of these two studies.

To brainstorm with, the operational definition is different from the dictionary definition, which is ofttimes conceptual, descriptive, and consequently imprecise.

In dissimilarity, an operational definition gives an obvious, precise, and communicable meaning to a concept that is used to ensure comprehensive cognition of the thought by specifying how the idea is measured and applied within a particular set of circumstances.

This definition highlights 2 important things about an operational definition:

• It gives a precise meaning to the spoken or written word, forming a 'common language' betwixt ii or more than people.
• It defines how a term, word or phrase is used when it is applied in a specific context. This implies that a word may have dissimilar meanings when used in different situations.

An operational definition must exist valid, which implies that it should measure what it is supposed to measure. It must too be reliable, meaning that the results should be the same even when done by unlike people or by i person at different times.

An operational definition ensures a succinct description of concepts and terms every bit applied to a specific situation to facilitate the collection of meaningful and standardized data.

When collecting data, it is important to define every term very clearly in order to assure all those who collect and analyze the data have the same agreement.

Therefore, operational definitions should be very precise and be framed to avoid variation and confusion in estimation.

Suppose, for case, and we want to know whether a professional journal may be considered as a 'standard periodical' or not. Here is a possible operational definition of a standard journal.

We set in advance that a journal is considered standard if

• It contains an ISSN number.
• It is officially published from a public or individual university or from an internationally recognized inquiry organization;
• It is peer-reviewed;
• Information technology has a recognized editorial /advisory board;
• Information technology is published on a regular basis at least once a yr,
• It has an impact gene.

Thus, the researcher knows exactly what to look for when determining whether a published journal is standard or not.

The operational definition of literacy rate as adopted past the Bangladesh Agency of Statistics (BBS) in their Vital Registration System is equally follows:

"Percentage of the population of age vii years and above who tin can write a letter among the full population."

In sum, an operational definition serves 4 purposes:

• It establishes the rules and procedures the researcher uses to measure the variable.
• Information technology provides unambiguous and consistent meaning to terms/variables that otherwise tin can be interpreted in dissimilar ways.
• It makes the collection of information equally well as the analysis more than focused and efficient.
• It guides what blazon of data and information nosotros are looking for.

By operationally defining a variable, a researcher is able to communicate a mutual methodology to another researcher.

Operational definitions lay down the ground rules and procedures that the investigator will utilise to find and record behavior and write down facts without bias.

The sole purpose of defining the variables operationally is to go on them unambiguous, thereby reducing errors.

How to operationalize a variable?

In fact, at that place is no hard and start dominion for operationally defining a variable. Operational definitions may vary, depending on your purpose and the fashion y'all choose to measure them.

Neither are at that place any universally accepted definitions of all the variables. A researcher tin logically choose a definition of a variable that will serve his or her purpose.

Whenever possible, operational definitions used by others in their work of expert standing could be used and so that the results can be compared.

Suppose a study classifies students according to the grades they received: A, B, C, etc. But the task is not that easy if you lot must decide which students fall in which form since there is seldom any universal rule for grades. To do this, yous need an operational definition.

In the goiter prevalence survey of 2004a person was classified as iodine scarce for a urinary iodine excretion (IUE) <100 pg/50 and severely iodine-scarce for a urinary iodine excretion (IUE) <20 pg/Fifty. One may choose a unlike threshold, besides, in defining the iodine deficiency.

As another example, suppose it is intended to assess the noesis of mothers on family unit planning. A set of twenty questions has been designed such that for every correct answer, a score of 1 will be given to the respondents.

Suppose further that we desire to make 4 categories of knowledge: 'no cognition,' 'low knowledge,' 'medium noesis' and 'loftier knowledge.' We make up one's mind to define these knowledge levels as follows:

High knowledge = fifteen or more than correct answers.

Medium noesis = eight to 14 correct answers

Low noesis = 1 to vii correct answers

No noesis = No right answers.

One might, withal, cull a different range of scores to defining the knowledge levels.

Based on the body mass index (BMI), for case, the international wellness run a risk classification is operationally defined every bit follows

Classification	BMI category (kg/one thousand1)
Underweight	=     <eighteen.five
Normal weight	=     18.five-24.9
Overweight	= 25.0-29.9
Obese	=      30 and over

For the classification of nutritional status, internationally accepted categories already exist, which are based on the so-called NCHS/WHO standard growth curves. For the indicator 'weight-for-age' for example, children are assessed to be

• Well-nourished (normal) if they are above 80% of the standard.
• Moderately malnourished (moderate under-weight) if they are betwixt 60% and 80% of the standard.
• Severely malnourished (severe under-weight) if they are below threescore% of the standard.

Nomenclature of the nutritional status can also exist made on the basis of the weight-for-age Z-score (WAZ) values. The Z- score of cutting-off values are:

Parameters	WAZ
Well-nourished (normal)	= < -2.0
Moderately malnourished	=     <-iii.0 to <-2.01
Severely malnourished	=     <-3.0

A farmer may be classified equally landless, medium, and big, depending on his possession of landholding size. Ane such classification is as follows:

Category	Acres of country
Landless	<.01
Medium	.01 – 0.5
Big	0.5

Similarly, a concern firm may exist classified every bit being large, medium, or small in terms of its investment, capital, and a number of employees or assets, which may vary widely by type of business concern firm.

In demographic research, a person may be categorized equally a child, those who are under five years of age, adolescent in the age range 12-19, adults aged 20-65, and old aged 65 and over.

Non but that, but variables also need operationally defined, the terms that indicate the relationship between variables needs to be defined.

For example, in many stated hypotheses, nosotros use such terms every bit 'frequent,' 'greater than,' 'less than,' 'pregnant,' 'higher than,' 'favorable' 'different' 'efficient' and the similar.

These terms must be conspicuously and unambiguously divers then that they make sense and let the researcher to measure out variables in question.

Consider the following hypothesis.

• Visits of Family unit Welfare Administration will motivate the women resulting in significantly higher utilize of contraceptives.

'Visit' is the independent variable to which we might acquaintance numbers 0, 1, two, to mean the frequency of visits fabricated during a stipulated period. The term 'college use' may mean a charge per unit (dependent variable) higher than before.

This tin can be measured as the departure of the present and the past charge per unit or betwixt a post-test and a pretest measurement:

Difference =.Average CPR (pretest) – Average CPR (posttest)

Just how much 'college' volition be regarded as significant? Thus the term' significant' needs to be divers clearly. Nosotros may make up one's mind to statistically verify at a 5% level with a probability of at to the lowest degree 95% that the difference in usage level is significant.

Thus the operational definition of terms non but tells us the significant of their utilise but too the style of measuring the divergence and testing its statistical significance, thereby accepting or rejecting the hypothesis.

In a report on the comparison of the performance of nationalized commercial banks (NCB) and private commercial banks (PCB) by Hasan (1995), i of the hypotheses was of the post-obit course:

• PCBs are more efficient than NCBs in the private deposit collection.

The term 'more than efficient' was assessed past testing the statistical significance of the differences in the mean deposits of the 2 banks in questions at a 5% level.

The concept of operational definition also applies to other technical terms that are not universally defined. Here are some examples of such terms with their operational definitions:

Operational Definition of Terms
Terms	Definition
Demography	The enumeration of an entire population of a defined area.
Population	The universe of units from which a sample is to be selected.
Consent form:	A written agreement signed by a subject and by a researcher concerning the terms and weather of a subject area'southward voluntary participation in a study.
Vignette	A brief description of an event or situation to which respondents are asked to react.
Hypothesis:	Informed speculation, which is fix to exist tested about the possible human relationship betwixt 2 or more than variables.
Residuum sheet:	Description of the arrangement in terms of its assets, liabilities, and internet worth.
Dependent:	(Population aged < 15)+ (Population anile >65).
Reliability:	The degree to which a measure of a concept is stable.

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Source: https://www.iedunote.com/operational-definition

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