Define internal validity and state the components of internal validity
Internal validity is the extent to which a research design includes enough control of the conditions and experiences of participants that it can demonstrate a single unambiguous explanation for a manipulation, that is, cause and effect.
The level of control in a research design directly relates to internal validity or the extent to which the research design can demonstrate cause and effect. The more control in a research design, the higher the internal validity. Experimental research designs have the greatest control and therefore the highest internal validity; nonexperimental research designs typically have the least control and therefore the lowest internal validity.
Components of internal validity
Initial Equivalence – Prior to manipulation of the causal variable, participants in the different conditions are the same (on the average) on all measured/subject variables
Ongoing Equivalence – during manipulation of the causal variable, completion of the task, and measurement of the effect variable, participants in the different conditions are the same (on the average) on all manipulated/procedural variables except the causal variable.
Define internal validity and state the components of internal validity
Q85 Define the following four [4] Types of Validity: [4 Marks] (a) Internal validity. (b) External validity. (c) Construct validity. (d) Statistical validity
Define the term selection bias and describe whether this phenomenon can affect internal validity.
Define the concepts internal and external validity. Discuss why we say that for some experiments an attempt at increasing one type tends to jeopardize the other type. research methods-psy230
16)Define internal validity: a. The extent to which we can draw causal conclusions about a study such as random and systematic error, confounding, and selection bias b. Exchangeability or how comparable the study group is to otherand explains generalizability or transportability 17. Define external validity: a. The extent to which we can draw causal conclusions about a study such as random and systematic error, confounding, and selection bias b. Exchangeability or how comparable the study group is to otherand explains...
Question 4 The difference between internal and external validity is best described as: Internal validity tells us if the inferences drawn from the study population are true of the study population whereas external validity tells us if the inferences drawn from the study population are true of the target population. Internal validity tells us if the inferences drawn from the population being studied apply to other populations whereas external validity tells us if the inferences drawn from the population being...
Give an explanation of a threat to internal validity and a threat to external validity in quantitative research. Next, explain a strategy to mitigate each of these threats. Then, identify a potential ethical issue in quantitative research and explain how it might influence design decisions. Finally, explain what it means for a research topic to be amenable to scientific study using a quantitative approach
Why are threats to internal validity, selectivity bias, statistical testing, and external validity important to evaluate in research literature?
Why are threats to internal validity, selectivity bias, statistical testing, and external validity important to evaluate in research literature?
How can internal and external validity be increased in an experiment
Random assignment strengthens a studies internal validity True False