[PDF] Variables in research - Sites/USP PDF complemento-aula-1.pdf

4 oct 2020 · variables while designing quantitative research projects A variable incites It is thus important to define the variables to facilitate accurate

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Discuss what it means to operationally define a variable, and describe some examples operational definition of stress might be one's score on a Stress Inventory in This webpage has a brief video (PPT video, about 8 minutes) about scales

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Chapter 4 Developing Research Questions: Hypotheses and Variables variable(s) and dependent variable(s) is a very important step in the research process

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Dictionary definition of research is a careful investigation or inquiry with something else ▻ To test a hypothesis of a casual relationship between variables

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theory, hypothesis, and variable—will be defined or further expanded upon Based on the definition, a theory is a statement that attempts to make sense

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3 nov 2018 · to interpret focusing on some research problems: Identify culture, variables for study, review literature Significance of the research

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Why is the null hypothesis important for statistical test? ➢ What is the a process that is modeled via a set of random variables *** Main Body weight study

[PDF] An operational definition is how we (the researcher) decide to

in our study (variable = anything that can be measured) ◦ There are usually hundreds of ways to measure a DV (e g behavior) ◦ Understanding

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INR

ODUCTION

Variable" is a term frequently used in research

pr ojects. It is pertinent to define and identify the v ariables while designing quantitative research pr ojects. A variable incites excitement in any r esearch than constants. It is therefore critical for beginner s in research to have clarity about this t erm and the related concepts. V ariable, to put in layman statement is something that can change and or can have more than one val ue. ''A variable, as the name implies, is 1" something that varies". It may be weight, height, anxi ety levels, income, body temperature and so on.

Each of these properties varies from one person

t o another and also has different values along a con tinuum. It could be demographic, physical or social and include religion, income, occupation, t emperature, humidity, language, food, fashion, et c. Some variables can be quite concrete and clear, such as gender, birth order, types of blood group etc while others can be considerably more abstract and v ague. "Variable is a property that takes on different 2 3 values''. It is also a logical grouping of attributes. A ttributes are characteristics or qualities that describe an object. For example if gender is a v ariable then male and female are the attributes. If r esidence is the variable then urban, semi urban, rur al become the attributes. So attributes here describe the residence of an individual. It is pertinent for a researcher to know as how cert ain variables within a study are related to each other . It is thus important to define the variables to f acilitate accurate explanation of the relationship betw een the variables. There is no limit to the nu mber of variables that can be measured, although the more variables, the more complex the s tudy and the more complex the statistical analysis. Mor eover the longer the list of variables, the longer the time required for data collection.V ariables can be defined in terms of measurable f actors through a process of operationalization. It w ill convert difficult concepts into easily under standable concepts which then can be measur ed, empirically. "It is essential to define the t erm as variables so that they can be quantified and measured. That is, the variable have to be able t o work for you to operate, or becomes 4operational". Ther e are different types of variables and having t heir influence differently in a study viz.

Independent

& dependent variables, Active and at tribute variables, Continuous, discrete and ca tegorical variable, Extraneous variables and

Demogr

aphic variables.

The independen

t variable is the antecedent while the dependent variable is the consequent. If the independen t variable is an active variable then we manipula te the values of the variable to study its af fect on another variable. In the above example, we alter anxiety level to see if responsiveness to pain reduction medication is enhanced. Anxiety lev el is the active independent variable.

Dependen

t variable is the variable that is affected by the independent variable. Responsiveness to pain reduction medication is the dependent v ariable in the above example. The dependent v ariable is dependent on the independent variable V ariables are often characteristics of research subjects, such as their age, health beliefs, or w eight etc. ''Variables which cannot be man ipulated are attribute variables and the v ariables that the researcher creates are the active 2variables''. Active variables can also be i ndependent variables. E.g. effectiveness of INDEPENDENT & DEPENDENT VARIABLE

ACTIVE AND ATTRIBUTE VARIABLES36 IJRRMS 2013;3(4)

V ariables in research K aur SP IJRRMS

VOL-3 No.4 OCT - DEC 2013 |||| R

eview Article A ttribute variable is a variable where we do not alt er the variable during the study. It can also be the independen t variable, but it has limitations. Some a ttribute variables are age, gender, blood group, color of eyes, etc. We might want to study the effect of age on weight. We cannot change a person's age, but we can study people of different ages and we ights. "An active variable in one study could be an a ttribute variable in another study''.

Sometimes

variables take on a wide range of values on a continuum. ''A continuous variable can assume 1 an infinite number of values between two points''. If we consider the continuous variable weight: betw een 1 and 2 Kg, the number of values is l imitless: 1.005, 1.7, 1.33333, and so on.

Continuous

measures in actual use are contained in a range each individual obtains a score within the 1 range.On the other hand, a discrete variable is one that has a finite number of values between any two points, representing discrete quantities. C ategorial variables, belongs to a kind of m easurement called nominal. In nominal measur ements there are two or more subsets of the set objects being measured. "They have a simple requirement that all the members of the subse t are considered the same and all are assigned 2 the same name (nominal) and the same numeral". That is, they can be measured only in terms of whether the individual items belong to certain dis tinct categories, but we cannot quantify or even r ank order the categories. The variable gender, for e xample, has only two values (male and female). V ariables that take on only a handful of discrete non q uantitative values are categorical variables. C

ONTINOUS, DISCRETE AND CATEGORIAL

ARIABLESEXTRANE

OUS VARIABLES

It happens sometimes that after completion of the s tudy we wonder that the actual result is not what we expected. In spite of taking all the possible measur es the outcome is unexpected. It is because of extraneous variables. Variables that may affect r esearch outcomes but have not been adequately consider ed in the study are termed as extraneous v ariables. Extraneous variables exist in all studies and can affect the measurement of study variables and the relationship among these variables. "Extr aneous variables that are not recognized until the study is in process, or are recognized before the study is initiated but cannot be controlled, are 5referred to as confounding variables". Certain e xternal variables may influence the relationship betw een the research variables, even though r esearcher cannot see it. These variables are called i ntervening variables. For example, girl's knowledg e and practices helps in maintaining mens trual hygiene. Here, motivation, mother and f riends, mass media, are some intervening v ariables which may also help in maintaining mens trual hygiene. Thus, if these two factors are not controlled it would be impossible to know wha t the underlying cause really is. IJRRMS 2013;3(4)

DEMOGRAPHIC

VARIABLES:

"Demogr aphic variables are characteristics or attri butes of subjects that are collected to 5describe the sample". They are also called sample char acteristics. It means these variables describe s tudy sample and determine if samples are r epresentative of the population of interest. A lthough demographic variables cannot be m anipulated, researchers can explain r elationships between demographic variables and d ependent variables. Some common d emographic variables are age, gender, occupati on, marital status, income etc. communic ation board in meeting the needs of the in tubated patients. Communication board is an 'active independent variable' as it can be modified accor ding to the needs of the patients or according to the requirement in the study and it is r esearcher's concept. It is also the cause i.e. independen t variable. ."When categorical variables takes on only two va lues, they are sometimes referred to as 1 dichotomous variables". Some examples of dichot omous variables and multiple variables are: IJRRMS

VOL-3 No.4 OCT - DEC 2013 |||| K

aur SP. Variables in research37

REFERENCE

Sth1.Polit Denise F., Beck CT. Nursing Research, Principles and Methods. 7 edition. Pliladephia: LippincottWilliams & Wilkins;

2004.

p 29-32,37-38.nd2.Kerlinger Fred N. Foundation of Behavioral Research. 2 edition. U.S.A: Holt, Rinehart and Winston, Inc; 1983. p 29-40.rd3.Earl Babbie. The Practice of Social Research. 3 edition. Belmont:Wadsworth publishing Company; 1983. p 20-21.

Aparna Bhaduri, Marie Farrell. Health Research: A community - based approach. WHO: Regional office for South East Asia.

Series

No 12 .p 70th5.Nancy Burns, Grove Susan.K. Understanding Nursing Research. 4 edition. Missouri: Elsevier Publication; 2007. p 125-129.V

ARIABLESEXAMPLES

Dichotomous

Gender: Male and female

V ariablesType of property: Commercial and residential Pr egnant and non pregnant

Alive and dead

HIV positive and HIV negative

E ducation: Literate and illiterate T richotomous Residence: Urban, semi urban and rural V ariablesReligion: Hindu, muslim, and Christianity.

Multiple

Blood groups: A,B,AB and O

V ariables38 IJRRMS 2013;3(4) ME

ASURING VARIABLES

In or der to do an analysis, the variables have to be quantifi ed; this means measuring giving values and scale. Sometimes identification of variables and determining how to measure them looks quite simple, but due to vaguely defined variables measuring can be difficult too. There are four levels of measurements on a continuum of discrete and con tinuous: nominal-scale, ordinal-scale, interval- scale and ratio-scale. Nominal scale is used when the variables can be categorized but cannot be r anked. E.g. gender, marital status, race, diagnosis, blood group etc. Ordinal scale is one were the v ariables are categorized that can be ranked. Eg. Lev els of pain mild, moderate or severe. Interval s cale measures equal numerical distances betw een the intervals. It can be categorized, as we ll as ranked. Eg. difference between 70 degree and

80 degree will be same as the difference

betw een 30 degree and 40 degree. So the interval is of 10 degree in both the categories. Ratio scale measur es variables which can be categorized, r anked, have equal intervals and can represent a con tinuum of values. Thus, the most difficult part of planning a research s tudy is identifying the research variables and r esearch design. Considerable time and thought needs to be given to this step. Once the key v ariables have been identified, then the researchquotesdbs_dbs7.pdfusesText_13

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