🔍Validity and reliability are key factors in meaningful research results.
🌡️Bias can influence research outcomes, both intentionally and unintentionally.
🎯Demand characteristics and the placebo effect can impact participant behavior.
📚Sampling techniques aim to represent the target population for research.
🔬Replicating studies is essential for scientific validity and credibility.
What is validity in research?
—Validity refers to the extent to which an assessment tool accurately measures the variable of interest. It assesses how well the tool measures what is happening in the real world.
What is reliability in research?
—Reliability is the extent to which assessment scores remain constant across time settings or raters. It ensures consistency in measurements and outcomes.
How does bias affect research outcomes?
—Bias can influence research outcomes either intentionally or unintentionally. Researchers may have preconceived notions or expectations that affect the procedure or outcome of the study.
What are demand characteristics?
—Demand characteristics are cues or cues participants pick up on during a study that lead them to behave in a way they believe is desirable or expected by the experimenter.
Why is sample size important in research?
—Sample size is important in research to ensure reliable results. Larger sample sizes increase the likelihood that the findings are representative of the population and can be generalized to a larger group.
00:00Meaningful research results depend on overcoming challenges such as validity and reliability in measures used.
00:16Validity assesses how accurately an assessment tool measures the variable of interest in the real world.
00:38Reliability ensures that assessment scores remain constant across time settings or raters.
01:21Research can be biased by the way a study is conducted, such as experimental bias and demand characteristics.
01:57Bias can also play a role in participants' behavior, such as the placebo effect.
02:34To avoid bias, double-blind procedures are used, where both the experimenter and participant are unaware of group assignments.
02:47Sampling techniques aim to select a representative group of participants from the target population.
03:17Random sampling, where all members of the population have an equal chance of being selected, is encouraged.
