Advanced Analyses weekly questions

Pataasin ang iyong marka sa homework at exams ngayon gamit ang Quizwiz!

The regression equation for predicting number of speeding tickets (Y) from information about driver age (X) is: Y = -.065(X) + 5.57 How many tickets would you predict for a 20yo?

4.27

Name an omnibus test

ANOVA

why is it important to include ID numbers

Ability to check individual sets of data identify extremes and outliers

The introduction of planned change on one or more variables, measurement on a small number of variables, and control of other variables. Which research design is described here?

An experiment

What type of data do you need for a chi-square test?

Categorical

A moderator effect is where the size of the relationship between one variable and another variable is _______________ .

Different for the values of a third variable

effect size

Effect size is (usually) expressed as a value between 0 and 1 (i.e., a probability)

examples of nominal data

Gender, hair colour , where you live

Which of the following statements about outliers is not true?

Influential cases will always show up as outliers.

An independent-samples t-test can be used to assess

It assesses differences between two groups of participants

What should Levene's test be in order to use the 'equal variance assumed' row of a t-test?

It should be non-significant (p > 0.05)

In a multiple regression, when the IVs are highly correlated (i.e., > 0.90), which assumption is likely violated:

Multicollinearity

Can a measure be valid but not reliable?

No

How many dependent variables does a 2 x 2 factorial ANOVA have?

One

What is the process through which a conceptual variable becomes a measured variable?

Operationalisation

What does the operation "Recode Into Different Variables" do to the data?

Redistributes a range of values into a new set of categories and creates a new variable

not a main reason for missing data?

The analyst ignored the data point in SPSS.

A moderator effect is indicated if which of the following explains a significant proportion of the variance in the criterion variable?

The interaction

What does the Y intercept (b0) represent?

The predicted value of Y when X = 0.

The null hypothesis in the chi-square tests states that:

The rows and columns in the table are not associated.

Assuming a linear relationship between X and Y, which of the following is true if the correlation coefficient (r) equals -0.30?

The slope (b1) is negative.

Mediation has occurred when:

The strength of the relationship between a predictor variable and an outcome variable is reduced by including another variable in the model.

Mediation has occurs when

The strength of the relationship between a predictor variable and an outcome variable is reduced by including another variable in the model.

You have found a correlation of .42 between two variables in a sample of people. Why do you need to determine whether the correlation is statistically significant?

There might be a correlation in the sample but none in the actual population.

How many F values are calculated with a 2 x 3 mixed ANOVA?

Three

What is the purpose of a multiple regression?

To predict scores on a dependent variable from scores on multiple independent variables.

why is it important to add variable names?

You may forget what the variable is output is easier to read and understand enables better communication of data and teamwork

How many variables do you need to run a chi-square test for goodness-of-fit?

You should only have one.

A moderation effect is also known as _________.

an interaction effect

what are residuals?

difference between actual value and predicted value (error in the prediction)

If the content of a test looks as though it is measuring what it is supposed to, it is said to have high ____________ .

face validity

examples of ordinal data

first, second and third place

examples of ratio data

hight and weight

kurtosis

how flat or peaked a normal distribution is positive kurtosis - large thin peak negative kurtosis - flat peak

name the two main types of one-way ANOVA

independent measures ANOVA repeated measures ANOVA

Skew

is an indication of symmetry

omnibus test

it tells us there is a significant difference but we do not know precisely between which levels

If an interaction is significant, __________.

main effects are unimportant

Previous research has suggested that higher grades (X) predict higher happiness (Y). I think, however, grades are not the real reason that happiness increases. I hypothesise that good grades (X) boost one's self-esteem (M) which, in turn, boosts one's happiness (Y). If self-esteem explains the relationship between grades and happiness, we have a ______________ relationship between X and Y?

mediated

How many dependent variables does a 2 x 2 factorial ANOVA have?

one

Equivalent-forms reliability is also known as ________________.

parallel-forms reliability

A distribution that leans to the left and has a tail far out to the right is ___________ .

positive skewness

name ONE sampling method that is a probability method?

simple random

name three types of t-tests

single-sample t-test independent-samples t-test repeated-measures t-test

examples of interval data

temperature and time

A one-way ANOVA is similar to a t-test EXCEPT __________.

that in a one-way ANOVA, the IV can have more than two levels

what is tested in Factorial ANOVA

the difference between the slopes

interactions occur when

the effect of one IV changes over levels of another IV

ANOVA is based on

the f distribution

The most appropriate statistical test for an experiment with two independent groups and the dependent variable measured on an interval scale is:

the independent-samples t-test

In hypothesis testing, a Type 2 error occurs when:

the null hypothesis is not rejected when the alternative hypothesis is true.

What are degrees of freedom?

the number of values in the final calculation of a statistic that are free to vary

t-tests are based on

the t distribution

A dummy variable is used as an independent variable in a regression model when:

the variable involved is categorical.


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