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).
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 :
(II), (III) and (IV) only
Prediction of a continuous criterion (semester-end marks) is done with correlation and regression, where predictors must be variables that vary within the group being studied.
(I) Engineering specialization: if only civil engineering students are analysed, every case has the same specialization. A constant has zero variance and cannot predict anything, so it is excluded.
(II) Scores on logical reasoning: a continuous score that varies across civil students and can relate to academic marks. Usable as a predictor.
(III) Scores on spatial reasoning: likewise a continuous, varying measure relevant to engineering performance. Usable.
(IV) Parents' annual income: the passage says it was measured on a continuum, so it varies across students and can enter a regression equation as a predictor. Usable.
Hence, the answer is (II), (III) and (IV) only.
Similar Questions
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
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:
