In which type of study are the effects of age and the effects of time of measurement confounded with one another?

  1. Social Science
  2. Psychology
  3. Developmental Psychology

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117. Which statement best describes the basic premise of the cross-sectional research design?
a. Assess different age groups (e.g., 5-, 10-, 15-year-olds) at the same time (e.g., during the same week)
b. Assess the same age group (e.g., only 5-year-olds) at the same time (e.g., during the same week)
c. Assess different age groups (e.g., 5-, 10-, 15-year-olds) at different times (e.g., 5-year-olds in 2003, 10-yearolds
in 2004, and 15-year-olds in 2005)
d. Assess the same group (e.g., 5-year-olds) at different times (e.g., first test when kids are 5, then when they
are 10, and finally when they turn 15)

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In which type of study are the effects of age and the effects of time of measurement confounded with one another?

In which type of study are the effects of age and the effects of time of measurement confounded with one another?

In which type of study are the effects of age and the effects of time of measurement confounded with one another?

In which type of study are the effects of age and the effects of time of measurement confounded with one another?

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In which type of study are age changes measured?

Figure 4..

Which research design allows you to identify age effects cohort effects and time of measurement effects?

Longitudinal Research Designs. Longitudinal research involves beginning with a group of people who may be of the same age and background (cohort) and measuring them repeatedly over a long period of time.

What is the type of research in which people of different ages are compared at the same point in time?

Cross sectional research is a study in which subjects of different ages are compared at the same time. It is often used in developmental psychology, but also utilized in many other areas including social science, education and other branches of science.

Which type of research design would provide information about age change?

The benefit of a cross-sectional study design is that it allows researchers to compare many different variables at the same time. We could, for example, look at age, gender, income and educational level in relation to walking and cholesterol levels, with little or no additional cost.