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Question

An independent variable in an experimental study, which is manipulated by the investigator at his will, is technically known as:

The correct answer is

Treatment variable

Understanding Variables in Experimental Studies

In experimental research, variables are crucial elements that investigators study and manipulate to understand cause-and-effect relationships. The question asks about a specific type of variable in an experimental study that is manipulated by the investigator.

Let's break down the key terms and concepts:

  • Experimental Study: A research design where the investigator actively intervenes or manipulates one or more variables to observe their effect on another variable.
  • Variable: A characteristic or attribute that can vary in value or kind.
  • Independent Variable: The variable that is presumed to be the cause in a cause-and-effect relationship. It is the variable that the investigator manipulates or changes.
  • Dependent Variable: The variable that is presumed to be the effect. It is the variable that is measured to see if it changes as a result of the independent variable manipulation.

The Manipulated Independent Variable: Treatment Variable

When an investigator actively manipulates an independent variable, introducing different levels or conditions of this variable to different groups or participants, this manipulated variable is often referred to as a treatment variable or experimental variable. The different levels of the independent variable are the 'treatments' being applied.

For example, if a researcher is studying the effect of different doses of a drug on blood pressure, the drug dosage is the independent variable. The different doses (e.g., 0mg, 10mg, 20mg) are the levels of the independent variable, and this independent variable can be technically called a treatment variable.

Analyzing the Options

Let's look at why the other options are not the primary technical term for an independent variable manipulated by the investigator:

  • Moderator variable: A variable that affects the strength or direction of the relationship between the independent variable and the dependent variable. It is not the independent variable itself being manipulated as the primary cause.
  • Interfering variable: A broad term often used interchangeably with extraneous variables or confounding variables that can influence the results and confuse the relationship between the independent and dependent variables. It's not the variable being deliberately manipulated as the intended cause.
  • Confounding variable: A type of extraneous variable that is related to both the independent variable and the dependent variable, making it difficult to isolate the effect of the independent variable. Like interfering variables, they are unwanted influences, not the variable of interest being manipulated.

Therefore, the term that specifically refers to an independent variable that is manipulated by the investigator in an experimental study is the treatment variable.

Summary of Variable Types in Experimental Research

Variable Type Role in Experiment Manipulation by Investigator?
Independent Variable (Treatment Variable) Presumed Cause Yes (Manipulated)
Dependent Variable Presumed Effect No (Measured)
Moderator Variable Influences the relationship between Independent and Dependent Variable Sometimes measured or selected, but not the primary manipulated variable of interest
Confounding Variable Extraneous variable related to both IV and DV, confusing the relationship No (Controlled or accounted for)

Conclusion on Independent Variable Terminology

Based on the definition of an independent variable in an experimental study being actively changed or varied by the researcher to observe an effect, the most appropriate technical term among the options provided is treatment variable. This highlights the active intervention or 'treatment' applied by the investigator.

Revision Table: Key Research Variable Terms

Term Simple Description Investigator's Action
Independent Variable The variable that is changed or manipulated. Manipulates or varies it.
Treatment Variable Specific term for the independent variable that represents different conditions or interventions applied. Applies different 'treatments' or levels of the variable.
Dependent Variable The variable that is measured to see if it changes. Measures it.
Confounding Variable An outside variable that affects both the independent and dependent variables. Tries to control or minimize its effect.
Moderator Variable A variable that changes how the independent and dependent variables are related. May measure it to understand its effect.

Additional Information on Experimental Design and Variables

Understanding how variables function is fundamental to designing sound experimental studies. The goal is to isolate the effect of the independent (treatment) variable on the dependent variable by controlling for or accounting for other variables like confounding variables.

  • Experimental control is used to minimize the influence of extraneous variables.
  • Random assignment is a common technique to distribute potential confounding variables equally among different treatment groups.
  • Operational definition is required for all variables, clearly specifying how they will be measured or manipulated.
  • Different experimental designs (e.g., pre-test/post-test, control group designs) employ specific strategies for manipulating the independent variable and measuring the dependent variable effectively.

The terminology used for variables can sometimes vary slightly across different fields of study, but in the context of experimental manipulation by an investigator, "treatment variable" is a very common and accurate term for the independent variable.

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Important Questions from Components of Research - Teaching

  1. Match List I with List-II: List I gives sampling methods while List II provides their description.

    List I

    List II

    (Sampling method)

    (Description)

    (A) Stratified sampling

    (I) The units/members are chosen to represent various areas of characteristics so defined

    (B) Cluster sampling

    (II) Every unit had an independent and equal chance of being picked up

    (C) Systematic sampling

    (III) The units are groups and are chosen intact

    (D) Dimensional sampling

    (IV) The members are selected using the interval obtained by N/n – the N = Aggregate, n = desired sub-aggregate

    Choose the correct answer from the options given below:
  2. Identify the probability sampling procedures from the following:

    A. Quota sampling

    B. Stratified sampling

    C. Dimensional sampling

    D. Cluster sampling

    E. Systematic sampling

    Choose the correct answer from the option given below:

  3. If a sample survey of the same 100 households is conducted in a particular village, annually for five years, the data so collected will be described as :

  4. In the process of drawing a random sampling which of the following process is in order of sequence?

  5. An investigator wants to conduct a study on politically active student-leaders in educational institutions. Which of the following methods of sampling would be most appropriate?

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