If the entire population was tested that would be a census. Rather, most studies aim for a representative sample. If you are expecting every person in every nation on earth to be tested before the results are acceptable to you, which is what you imply, then you have an unreasonable and unrealistic, anankastic expectation. By the way, a s…
If the entire population was tested that would be a census. Rather, most studies aim for a representative sample. If you are expecting every person in every nation on earth to be tested before the results are acceptable to you, which is what you imply, then you have an unreasonable and unrealistic, anankastic expectation. By the way, a study does not need to show " ... randomized subjects, control group and double blind and of course statistically significant difference in outcomes ..." unless it's using an experimental design. Experimental designs are great, especially for establishing causation, but they'renot always practical or appropriate. They're not much used in astronomy or in evolutionary biology and in numerous other disciplines. Observational designs are more often used. You don't seem to understand research design beyond high school level.. Differences in "outcomes" implies that there is an experimentally manipulated independent or predictor variable and a dependent or criterion variable. That's fine for vaxx and drug studies and many other studies but is entirely unsuited to many other topics studying cross-national differences in intelligence. Prove me wrong. Design an experiment to assess cross national differences in intelligence. Post your design here, if you're a good person and well intentioned. What is the independent variable that you are going to manipulate? How will you manipulate it? What groups are your subjects to be randomly assigned to and why? What is your dependent variable? Will you use nominal, ordinal rank or interval or ratio scaling to measure changes on the dependent variable? By what statistical method will you analyze your data? State your null and alternative hypotheses.
If the entire population was tested that would be a census. Rather, most studies aim for a representative sample. If you are expecting every person in every nation on earth to be tested before the results are acceptable to you, which is what you imply, then you have an unreasonable and unrealistic, anankastic expectation. By the way, a study does not need to show " ... randomized subjects, control group and double blind and of course statistically significant difference in outcomes ..." unless it's using an experimental design. Experimental designs are great, especially for establishing causation, but they'renot always practical or appropriate. They're not much used in astronomy or in evolutionary biology and in numerous other disciplines. Observational designs are more often used. You don't seem to understand research design beyond high school level.. Differences in "outcomes" implies that there is an experimentally manipulated independent or predictor variable and a dependent or criterion variable. That's fine for vaxx and drug studies and many other studies but is entirely unsuited to many other topics studying cross-national differences in intelligence. Prove me wrong. Design an experiment to assess cross national differences in intelligence. Post your design here, if you're a good person and well intentioned. What is the independent variable that you are going to manipulate? How will you manipulate it? What groups are your subjects to be randomly assigned to and why? What is your dependent variable? Will you use nominal, ordinal rank or interval or ratio scaling to measure changes on the dependent variable? By what statistical method will you analyze your data? State your null and alternative hypotheses.