Which of the following have been considered as threat to internal validity in research? A. Randomisation B. Generalisability C. Maturation D. History E. Instrumentation Choose the correct answer from the options given below.
C, D and E only
Understanding Internal Validity in Research
Internal validity is a crucial aspect of research study design. It refers to the extent to which you can be confident that the observed effect in a study is truly caused by the independent variable (the treatment or intervention) and not by other extraneous factors.
In simpler terms, if a study has high internal validity, you can be reasonably sure that the intervention being tested is the actual reason for the change observed in the outcome.
Identifying Threats to Internal Validity
Several factors, known as threats to internal validity, can interfere with concluding that the independent variable caused the effect. These threats are alternative explanations for the study results. Let's examine the options provided:
- A. Randomisation: Randomisation is a technique where participants are randomly assigned to different groups (e.g., treatment group, control group). This process helps to distribute potential confounding variables evenly across groups, making the groups comparable at the start of the study. Therefore, randomisation is a method used to strengthen internal validity, not a threat to it.
- B. Generalisability: Generalisability refers to the extent to which the findings of a study can be applied or extended to different populations, settings, or situations outside of the study. This concept relates to external validity, not internal validity. While important, generalisability is not considered a threat to internal validity itself.
- C. Maturation: Maturation refers to changes that occur within participants over time naturally, independent of the intervention. These could be biological changes (e.g., getting older, stronger, or more tired) or psychological changes (e.g., becoming wiser, more experienced, or less motivated). If a study takes place over a long period, maturation could explain observed changes rather than the intervention. Thus, maturation is a significant threat to internal validity.
- D. History: History refers to specific events that occur during the course of the study, outside of the study itself, which could affect the outcome variable. These events might occur in the community, institution, or even on a national level. For example, if a study on stress reduction is happening during a major economic downturn, the downturn (history) could influence stress levels, potentially confounding the effect of the intervention. History is a threat to internal validity.
- E. Instrumentation: Instrumentation refers to changes in the measurement tools, techniques, or procedures used to collect data during the study. This could involve changes in how an observer scores behaviour, a different version of a test being used, or equipment drift. If the way the outcome is measured changes over time, it becomes difficult to determine if observed changes are due to the intervention or changes in the measurement itself. Instrumentation is a threat to internal validity.
Analyzing the Options as Threats to Internal Validity
Based on the analysis:
- Randomisation (A) is not a threat; it enhances internal validity.
- Generalisability (B) is not a threat to internal validity; it relates to external validity.
- Maturation (C) is a threat to internal validity.
- History (D) is a threat to internal validity.
- Instrumentation (E) is a threat to internal validity.
Therefore, the factors considered as threats to internal validity among the given options are Maturation, History, and Instrumentation.
| Option | Concept | Relationship to Internal Validity |
|---|---|---|
| A | Randomisation | Enhances internal validity |
| B | Generalisability | Related to external validity |
| C | Maturation | Threat to internal validity |
| D | History | Threat to internal validity |
| E | Instrumentation | Threat to internal validity |
Conclusion on Threats to Internal Validity
The options that represent threats to internal validity from the given list are Maturation (C), History (D), and Instrumentation (E).
Revision Table: Key Validity Concepts
| Concept | What it means | Example Threat (Internal Validity) |
|---|---|---|
| Internal Validity | Is the observed effect caused only by the intervention? | History, Maturation, Instrumentation, Testing, Selection Bias, Mortality/Attrition, Regression to the Mean |
| External Validity (Generalisability) | Can the results be generalised to other people, places, times? | Interaction of Selection and Treatment, Interaction of Setting and Treatment, Interaction of History and Treatment |
| Construct Validity | Does the measure really capture the concept intended? | Poorly defined constructs, mono-operation bias |
| Statistical Conclusion Validity | Is there a relationship between variables, and how strong is it? | Low statistical power, unreliable measures, violation of statistical assumptions |
Additional Information on Research Validity
Understanding different types of validity is essential for evaluating the quality and applicability of research findings. While internal validity focuses on the cause-effect relationship within the study context, external validity concerns the applicability of those findings beyond the study.
A study can have high internal validity but low external validity, or vice-versa. For example, a highly controlled lab experiment might show a clear cause-effect but might not reflect real-world conditions (high internal, low external validity). Conversely, a survey of a diverse population might be generalisable but less able to isolate a specific cause due to lack of control (low internal, potentially high external validity).
Researchers often strive to balance internal and external validity, depending on the goals of their study. Techniques like random sampling (for external validity) and random assignment (for internal validity) are employed, though achieving both perfectly in a single study can be challenging.
Important Questions from Ethics in Research - Teaching
Given below are two statements:
Statement I: At every step of research, genuineness is to be vouched. Hence the issue of research ethics becomes germane.
Statement II: ICT application in research is supportive and facilitative rather than mandatory and absolute.
In the light of the above statements, choose the most appropriate answer from the options given below:
Identify those stages/steps of research in which ethical considerations become relevant.
Code:
(a) Identifying and defining research question.
(b) Postulating relationships among variables to advance a solution.
(c) Collecting data through use of research tools.
(d) Defining the population and sampling procedure.
(e) Data analysis and procedure employed.
(f) Reporting procedure of findings/ results.
The ethical considerations in research include:
(A) Free copying from books and journals
(B) Informed consent
(C) Avoiding plagiarism
(D) Proper referencing
(E) Privacy as an insignificant issue
Choose the correct answer from the options given below :
UGC-CARE has been set up for promoting
A. Quality research
B. Academic integrity
C. Publication ethics
D. Inclusion and access
E. International collaborative research
Choose the correct option from those given below:
Given below are two statements:
Statement I: Every research institute has to enforce research ethics in order to ensure the credibility and meaningfulness of human inquiry
Statement II: ICT and its use in research has abetted ethical lapses in the conduct of research wherever it has been put in place.
In the light of the above statements, choose the most appropriate answer from the options given below:
