## What is an important difference between statistics and parameters?

Parameters are numbers that summarize data for an entire population. Statistics are numbers that summarize data from a sample, i.e. some subset of the entire population.

## What do the social influence studies teach us about ourselves?

The social influence studies teach us about ourselves that the choice to resist or obey is made early on in a situation, attitudes are formed and then behavior follows. Ordinary people can be corrupted by evil situations and even eased into doing so via the foot-in-the-door phenomenon.

## What three components are necessary to realize the foot in the door phenomena?

And, they have three components: an affective component (feelings), a behavioral component (the effect of the attitude on behavior), and a cognitive component (belief and knowledge) (Rosenberg & Hovland, 1960).

## How do you know if a relationship is significant?

To determine whether the correlation between variables is significant, compare the p-value to your significance level. Usually, a significance level (denoted as α or alpha) of 0.05 works well. An α of 0.05 indicates that the risk of concluding that a correlation exists—when, actually, no correlation exists—is 5%.

## Which of the following is a statistical measure of the relationship between two variables?

The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. The values range between -1.0 and 1.0. A calculated number greater than 1.0 or less than -1.0 means that there was an error in the correlation measurement.

## What’s the meaning of cognitive dissonance?

The term cognitive dissonance is used to describe the mental discomfort that results from holding two conflicting beliefs, values, or attitudes. People tend to seek consistency in their attitudes and perceptions, so this conflict causes feelings of unease or discomfort.

## Which of the following provides the best guidance on the significance of an observed difference between two research samples?

Inferential statistics provides the best guidance on the significance of an observed difference between two research samples by using parametric or non-parametric tests as applicable.

## What is the foot in the door phenomenon quizlet?

Foot-in-the-door phenomenon. the tendency for people who have first agreed to a small request to comply later to a larger request.

## What does it mean when a difference between two groups is statistically significant?

sample to a population. When a difference between two groups is statistically significant, this means that… the difference is not likely to have occurred on its own, without the benefit of the independent variable.

Wilhelm Wundt

## How do you know if a t test is significant?

Compare the P-value to the α significance level stated earlier. If it is less than α, reject the null hypothesis. If the result is greater than α, fail to reject the null hypothesis. If you reject the null hypothesis, this implies that your alternative hypothesis is correct, and that the data is significant.

## What is a significant relationship in statistics?

The Meaning of Statistical Significance. If a relationship between two categorical variables is statistically significant it means that the relationship observed in the sample was unlikely to have occurred unless there really is a relationship in the population.

## What is most useful for helping Survey researchers avoid false generalizations?

Which of the following is most useful for helping survey researchers avoid false generalizations? Correlational research is most useful for purposes of..

## What is fundamental attribution error example?

The fundamental attribution error is the tendency people have to overemphasize personal characteristics and ignore situational factors in judging others’ behavior. For example, in one study when something bad happened to someone else, subjects blamed that person’s behavior or personality 65% of the time.

## Which of the following is a measure of the extent to which two factors vary together?

Cards

Term hindsight bias Definition the tendency to believe, after learning an outcome, that one would have foreseen it; the knew-it-all-along phenomenon
Term correlation Definition a measure of the extent to which two factors vary together, and thus of how well either factor predicts the other

## Which best describes the foot in the door phenomenon?

The foot in the door technique is a compliance tactic that assumes agreeing to a small request increases the likelihood of agreeing to a second, larger request. So, initially you make a small request and once the person agrees to this they find it more difficult to refuse a bigger one (Freedman & Fraser, 1966).

## Which measure of variation is most affected by extreme scores *?

The Median. An extreme score will skew the value to one side or the other.

## What is the point to remember in regards to the effects of attribution?

The point to remember: Our attributions—to individuals’ dispositions or to their situations—should be made carefully. They have real consequences. Attitudes are feelings, often influenced by our beliefs, that predispose our reactions to objects, people, and events.