Q. No. 85 – 89 are based on the following paragraph. Read the following paragraph and answer the five questions that follow : A researcher collected the data on logical reasoning and spatial reasoning from 200 students (equal number of boys and girls) of engineering college covering the specializations of civil and computer engineering by using a stratified sampling method. Information about students marks in the semester-end examination and information about the parents’ annual income was also collected (both the variables were measured on a continuum).
Which of the following could be treated as IV/s in the study if scores on logical reasoning are to be treated as outcome variable ? (I) Gender (II) Engineering specialization (III) Marks in semester-end examination
(I) and (II) only
An independent variable in this kind of study is a grouping factor whose levels define the groups being compared on the outcome. With logical reasoning scores as the dependent (outcome) variable, the grouping factors built into the sampling plan are the natural candidates.
(I) Gender: the sample has equal boys and girls, so gender is a two-level categorical factor and can be treated as an IV. True.
(II) Engineering specialization: civil versus computer is another two-level categorical factor and can be treated as an IV. True.
(III) Marks in semester-end examination: this is a continuous measure of the student's own performance, collected as additional information. It is not a manipulated or grouping factor in the 2 × 2 design, so it is not treated as an IV for comparing logical reasoning scores. Not included.
Hence, the answer is (I) and (II) only.
Similar Questions
If a researcher was interested in predicting the marks in semester-end examination of civil engineering students only, then which of the following could be treated as predictor variables ?
(I) Engineering specialization
(II) Scores on logical reasoning
(III) Scores on spatial reasoning
(IV) Parents’ annual income
Codes :
Which of the following are alternative names for the independent variable (usually denoted by x) in linear regression analysis ?
(i) The regressor
(ii) The regressand
(iii) The causal variable
(iv) The effect variable
“Amount of training (IV) leads to increased muscle mass and better muscle memory, which affects overall exercise performance (DV).” In this example, increased muscle memory is .................... .
A constant variable can take values :
In a study, effect of yoga and meditation class on sleep quality of the exercisers, what type of variable is yoga and meditation class ?
An intervening variable is :
Important Questions from Variables - Teaching
- Match List I with List II
List I List II Variables Characteristics A. Experimental I. Cannot be altered by researcher B. Organismic II. Uncontrolled but have significant effect on dependent variable C. Assigned III. Manipulated D. Dependent IV. Measurable, can't be manipulated V. Is the presumed cause of dependent variable
Choose the correct answer from the options given below: Extraneous variables are
I. Uncontrolled variables
II. Manipulated variables
III. Non manipulated variables
IV. Distracting variables
Codes :
Given below are two statements, one labelled as Assertion (A) and the other labeled as Reason (R) :
Assertion (A) : Independent variables are manipulated by the researcher to see their effect on dependent variables.
Reason (R) : As they lead to the prediction of hypothesized extraneous variables.
In the context of the above two statements, which of the following statement is correct ?
Match the following :
List – I (Variable) List – II (Explanation) a. Independent variable i. It can take on any value from a range of values. b. Dependent variable ii. It is what a researcher wants to eliminate. c. Continuous variable iii. It is systematically varied by the researcher. d. Control variable iv. It is what the researcher wants to explain. Match the LIST-I with LIST-II
LIST-I
Types of variableLIST-II
MeaningA. Extraneous Variable I. A factor that could possibly influence the results and that is kept out of the study. B. Dependent Variable II. A kind of independent variable such as age, sex that cannot be manipulated. C. Control Variable III. A factor that could affect the relationship between the independent and dependent variables but that is not included or controlled. D. Moderator Variable IV. The effect of the independent variable.
Choose the correct answer from the options given below:
