If you were a psychologist studying the impact of family relationships on success in school in first through third graders, would you use quantitative or qualitative analysis? why? in addition, what type of study would you choose (cross-sectional, longitudinal, or sequential study)? what are the challenges to using the type of study you chose? (there are no wrong answers, but make sure that you use support from the text book to explain your response.)

Answer and Explanation:

I would incline toward quantitative investigation. Quantitative examination fundamentally give countless subjects. Its results can without much of a stretch be estimated. Results can be effectively appeared through target information. We can without much of a stretch recognize the connections between two factors.

Information gathered through quantitative research can without much of a stretch demonstrate the effects of causes and their belongings. These information can without much of a stretch be utilized to make forecasts. These quantitative looks into can be utilized for measurable and numerical investigation of information.

Quantitative research gives information through different surveys and polls. Different computational apparatuses and strategies can likewise be utilized on quantitative information.

Cross sectional investigation is otherwise called transverse examination. It is a kind of observational examination. It investigates information from a populace. It likewise contemplates of a particular point in time. Cross sectional examination meets a crisp example of individuals each time they are completed. Longitudinal investigations pursue a similar example of individuals after some time.

Consecutive investigation is blend of Longitudinal and Cross sectional examinations. It pursues a few contrastingly matured accomplices after some time. I would incline toward this consecutive sort of study. It incorporates different variables at same time.

It give an expansive base to playing with information. This can be useful in removing increasingly important data. Long haul impacts can likewise be assessed through this technique. We can without much of a stretch watch bigger impacts and patterns.

There is just weakness is that it is a costly strategy. There is likewise a major test to control every one of the components at same time. In the event that every one of the elements are not controlled in a well way, at that point it might cause a confused data. These haphazardness can be regularized uniquely through compelling treatment of information and different factors.

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