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What is another word for cross-sectional?

Pronunciation: [kɹˈɒssˈɛkʃənə͡l] (IPA)

There are several synonyms for the term "cross-sectional," which is used to describe a type of research or analysis that takes place at a single point in time. One common synonym is "snapshot," which refers to the idea that the data is taken at a specific moment and captures a certain set of circumstances. Other possible synonyms include "static," "synchronously," and "instantaneous." Each of these terms emphasizes the idea that the data is collected at a specific moment and provides a snapshot of a particular set of conditions. No matter which word you choose to use, the idea behind cross-sectional research remains the same: to gain a snapshot or instantaneous view of a given phenomenon.
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Synonyms for Cross-sectional:

What are the paraphrases for Cross-sectional?

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What are the hypernyms for Cross-sectional?

A hypernym is a word with a broad meaning that encompasses more specific words called hyponyms.

What are the opposite words for cross-sectional?

Cross-sectional is a term that describes a particular research design, often used in social sciences, that studies a population at a particular point in time. It refers to an approach that is intended to capture a snapshot of a group, with a focus on exploring relationships between variables. The antonyms for cross-sectional are longitudinal, prospective, and panel studies. Longitudinal studies track changes in the population over time, while prospective studies aim to predict outcomes based on a set of variables. Panel studies combine elements of both, by tracking a particular population over time while collecting data on specific variables. Each of these approaches has its advantages and disadvantages, and researchers must choose the best approach to suit their research question.

What are the antonyms for Cross-sectional?

Famous quotes with Cross-sectional

  • One thing all of us admired about Friedman's book on consumption was the way Friedman integrated the aggregate time-series evidence and cross-sectional survey evidence. He gave a unified explanation of very different samples in a single theoretical model.
    Milton Friedman

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