The advantages of secondary analysis in research are: (a) It is inexpensive. (b) There is no need to construct a measuring instrument. (c) Data archives are a valuable source. (d) Useful opportunity is provided to produce valuable knowledge. (e) Provides less time to understand data.
(a), (b), (c) and (d)
To determine the correct answer, let's analyze each of the provided statements about the advantages of secondary analysis in research:
- (a) It is inexpensive: Secondary data analysis involves using existing data collected by someone else, so costs related to data collection are minimized. Hence, this statement is true.
- (b) There is no need to construct a measuring instrument: In secondary analysis, researchers use pre-existing data, eliminating the need to design and implement new measuring instruments. This statement is also true.
- (c) Data archives are a valuable source: Archives provide a wealth of data that can be utilized for secondary analysis, making them a valuable resource. This statement is true.
- (d) Useful opportunity is provided to produce valuable knowledge: Secondary analysis allows researchers to generate new insights and knowledge from existing data, effectively exploiting the original data set. This statement is correct.
- (e) Provides less time to understand data: Understanding the context and methodology of previously collected data may sometimes require significant time and effort to ensure it is applicable and valid for the new research question. Thus, this statement is not necessarily true concerning secondary analysis benefits.
After evaluating each statement, we find that statements (a), (b), (c), and (d) are correct advantages of secondary analysis. Therefore, the correct answer is:
(a), (b), (c) and (d)
Similar Questions
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Statement II: The primary purpose of regression is prediction.
In the light of the above statements, choose the most appropriate answer from the options given below:
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Statement I : t-tests are appropriate only when the dependent variables being measured are continuous.
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A. SPSS
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Important Questions from Data Analysis
Match List-I with List-II :
List-I
List-II
(a)
The most commonly used method of computing correlation between two variables
(i)
Intra-class correlation
(b)
An ANOVA technique used for estimating reliability of a measure
(ii)
Inter-class correlation
(c)
A technique used for estimating reliability of multiple-trials tests
(iii)
Inter-tester reliability
(d)
A form of reliability that pertains to the testers
(iv)
Coefficient alpha
Select the correct option :
Given below are two statements
Statement I: Paired t-test is used to compare two related means (μ 1 and µ 2)
Statement II: The t-test is a method used for inferential statistics
In light of the above statements, choose the most appropriate answer from the options given below
Match the items of List I with the items of List II and choose the correct answer from the code given below.
List – I
List – II
a
X̅ chart
i
Number of defects
b
P chart
ii
Variations between samples
c
C chart
iii
Variations within samples
d
R chart
iv
Proportion of defectives Code
If mean, median, mode and standard deviation are known for a given data set, the Pearson's first skewness coefficient is equal to
Following are commands in SPSS-17 version for starting ANCOVA
(a) Analyze
(b) Multivariate
(c) Univariate
(d) General linear model
(e) Repeated measures
Select the correct sequence of commands from the options given below :
