Question: In The Context Of Psychological Research, What Does The Word “significant” Mean?

Which sentence describes a type I error in significance testing?

Which sentence describes a Type I error in significance testing? A type I error involves deciding that one variable has a relationship with another, when really it does not; A researcher conducts a study and finds a statistically significant correlation between eating pizza and aggression.

What are the big five personality traits that were derived from the factor analytic method?

What are the Big Five personality traits that were derived from the factor analytic method? extraversion, neuroticism, conscientiousness, agreeableness, and openness.

What is the correct term for a pattern of variation that is noted in a given data set psychology?

Variability (also called spread or dispersion) refers to how spread out a set of data is. Variability gives you a way to describe how much data sets vary and allows you to use statistics to compare your data to other sets of data. The four main ways to describe variability in a data set are: range.

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What value or benefit does a researcher gain by calculating a correlation coefficient rather than simply describing the relationship as a positive correlation or a negative correlation?

What value or benefit would a researcher gain by calculation a correlation coefficient rather than simply describing the relationship as a positive or negative correlation? It would give us a more in depth understanding of the correlation.

What is the relationship between Type 1 and Type 2 error?

A type I error (false-positive) occurs if an investigator rejects a null hypothesis that is actually true in the population; a type II error (false-negative) occurs if the investigator fails to reject a null hypothesis that is actually false in the population.

What is an example of a type 1 error?

In statistical hypothesis testing, a type I error is the mistaken rejection of the null hypothesis (also known as a “false positive” finding or conclusion; example: ” an innocent person is convicted “), while a type II error is the mistaken acceptance of the null hypothesis (also known as a “false negative” finding or

Which personality has the highest liking towards curiosity?

Openness. This trait features characteristics such as imagination and insight.1 People who are high in this trait also tend to have a broad range of interests. They are curious about the world and other people and eager to learn new things and enjoy new experiences.

Why are the Big 5 personality traits important?

The Big Five personality theory gives a simple blueprint to understanding others, improving relationships by knowing why people behave the way they do. The Big Five personality theory gives a simple blueprint to understanding others, improving relationships by knowing why people tend to behave the way that they do.

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Who developed the Big Five personality traits?

Who developed the big 5 personality traits? Originally developed in 1949, the big 5 personality traits is a theory established by D. W. Fiske and later expanded upon by other researchers including Norman (1967), Smith (1967), Goldberg (1981), and McCrae & Costa (1987).

What are the patterns of variation?

There are operating differences between shifts, changes in processing methods, temperature and humidity differences, equipment differences, raw material changes, or other differences.

What is the first step in almost every investigation of data?

What is the first step in almost every investigation of​ data? Make an appropriate graph.

What is central tendency in psychology?

Central tendency is a statistical measure that identifies a single score as representative of an entire distribution. The goal of central tendency is to find the single score that is most typical or most representative of the entire group.

What are the 4 types of correlation?

Usually, in statistics, we measure four types of correlations: Pearson correlation, Kendall rank correlation, Spearman correlation, and the Point-Biserial correlation.

What is an example of zero correlation?

A zero correlation exists when there is no relationship between two variables. For example there is no relationship between the amount of tea drunk and level of intelligence.

How do you determine if there is a correlation between two variables?

The correlation coefficient is determined by dividing the covariance by the product of the two variables’ standard deviations. Standard deviation is a measure of the dispersion of data from its average. Covariance is a measure of how two variables change together.

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