An independent variable in an experimental study, which is manipulated by the investigator at his will, is technically known as:
Treatment variable
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:
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.
Let's look at why the other options are not the primary technical term for an independent variable manipulated by the investigator:
Therefore, the term that specifically refers to an independent variable that is manipulated by the investigator in an experimental study is the treatment variable.
| 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) |
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.
| 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. |
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.
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.
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 :
The element that differentiates between stratified and quota sampling techniques is
List I contains the characteristics of a validity measure and List II the type of validity. Match List I and List II and choose the correct answer from the code given below.
List I (Characteristic of validity measure) | List II (Type of validity) | ||
(a) | Measure of product or performance | (i) | Content validity |
(b) | Measure of unobservable psychological entity | (ii) | Predictive validity |
(c) | Measure of representation of substantive knowledge structure | (iii) | Concurrent validity |
(d) | Extent of agreement between two measures | (iv) | Construct validity |
Which of the following techniques is NOT covered under non-probability sampling?
Identify from the list of characteristics given below these which are related to a good hypothesis in a research:
a) Simplicity of explanation
b) Plausibility of explanation
c) Highly difficult to verify the postulated relations
d) Not related to an existing theory
e) Relationship formulated among variables having conceptual clarity
Choose the most appropriate answer from the options given below: