Given below are two statements
Statement I An explanatory correlational design explains the degree of association among two or more. variables
Statement II In prediction correlational design, the investigator identifies variables that will positively predict an out come
Choose the correct answer.
Analyzing Correlational Research Designs
This question requires us to evaluate two statements about correlational research designs. Correlational research methods explore the relationships between different variables.
Statement I Analysis: Explanatory Correlational Design
Statement I suggests that an explanatory correlational design serves to explain the degree of association among variables. While it's true that correlational studies measure the strength and direction of relationships (associations) between variables, the term 'explains' can be nuanced. Correlational research quantifies how variables move together but does not establish causation or explain the underlying reasons *why* they are associated. It describes the relationship ('what') rather than explaining the cause ('why'). In the context of distinguishing between different correlational approaches, this description might be considered imprecise if 'explains' implies causal reasoning, which correlation cannot provide.
Statement II Analysis: Prediction Correlational Design
Statement II defines a prediction correlational design as one where the investigator identifies variables that can positively predict an outcome. This statement accurately captures the essence of predictive correlational research. The goal is to use the measured association between variables to forecast or predict the value of a criterion variable (the outcome). Identifying variables that have a strong relationship with the outcome allows researchers to make predictions about future occurrences or results based on the values of predictor variables. This focus on prediction is the defining characteristic of this design.
Determining the Correct Statement
Comparing the two statements:
- Statement I describes a function related to measuring association, but the term 'explains' might be too strong if interpreted causally.
- Statement II clearly and accurately defines the primary purpose of a prediction correlational design – using identified variable relationships to predict outcomes.
Therefore, Statement II is a correct description of prediction correlational design.
Important Questions from Research Design
Design used in experimental research in which groups are randomly formed and that controls most sources of invalidity is known as
‘Which of the following are the complete experimental research designs?
(A) Factorial design
(B) One group after-only design
(C) Before-after design with one experiment and two control groups
(D) Latin square design
(E) One-group before-after design
Choose the correct answer from the options given below:
- Identify the stages which may form part of a Research Proposal outline.
A. Data Fabrication
B. Methodology
C. Review of related literature or earlier studies
D. Specifying objectives
E. Stating Problem
Choose the correct answer from the options given below: - Select the option based on the Assertion (A) and Reason (R) :
Assertion (A): Extraneous Variables can influence the results of a research study.
Reason (R): Extraneous variables are not controlled by the researcher. - ____________ is to explore the data without prior hypthesis.
