Question 1

In an experiment, what can affect the p value of our inferential statistics?

Accepted Answer

A)  The means of the group scores 
B)  The sample size 
C)  All of the other options 
D)  The standard deviation of the group scores 
A)  The means of the group scores 
B)  The sample size 
C)  All of the other options 
D)  The standard deviation of the group scores C

Question 2

If I wanted to know the middle data point from my dataset, what type of measure of central tendency would this be?

Accepted Answer

A)  Mean 
B)  Median 
C)  Mode 
D)  Standard deviation 
A)  Mean 
B)  Median 
C)  Mode 
D)  Standard deviation B

Question 3

In an ideal dataset you would want your data to have…

Accepted Answer

A)  a large amount of both within group and between group variance. 
B)  a large amount of between group variance, and little within group variance. 
C)  a large amount of within group variance, and little between group variance. 
D)  a small amount of both within group and between group variance. 
A)  a large amount of both within group and between group variance. 
B)  a large amount of between group variance, and little within group variance. 
C)  a large amount of within group variance, and little between group variance. 
D)  a small amount of both within group and between group variance. B

Question 4

Which of the following is a type I error?

Accepted Answer

A)  When you find an effect in your sample that exists in the real-world population 
B)  When you do not find an effect in your sample that doesn't exist in the real-world population 
C)  When you find an effect in your sample that doesn't exist in the real-world population 
D)  When you do not find an effect in your sample that does exist in the real-world population 
A)  When you find an effect in your sample that exists in the real-world population 
B)  When you do not find an effect in your sample that doesn't exist in the real-world population 
C)  When you find an effect in your sample that doesn't exist in the real-world population 
D)  When you do not find an effect in your sample that does exist in the real-world population

Question 5

What is meant by the term 'standard deviation'?

Accepted Answer

A)  It refers to how frequently a particular score is present in a dataset. 
B)  It refers to the number of responses that lie 25% above and below the mean of the dataset. 
C)  It refers to the maximum range of scores in the dataset. 
D)  It refers to the amount of variation in the scores around the mean. 
A)  It refers to how frequently a particular score is present in a dataset. 
B)  It refers to the number of responses that lie 25% above and below the mean of the dataset. 
C)  It refers to the maximum range of scores in the dataset. 
D)  It refers to the amount of variation in the scores around the mean.

Question 6

What is meant by a positively skewed dataset?

Accepted Answer

A)  The distribution of scores shows a tail of extreme scores at the higher end of the dataset. 
B)  The distribution of scores shows a tail of extreme scores at the lower end of the dataset. 
C)  The distribution of scores is relatively flat across the entire dataset. 
D)  The distribution of scores is heavily concentrated around the centre of the dataset. 
A)  The distribution of scores shows a tail of extreme scores at the higher end of the dataset. 
B)  The distribution of scores shows a tail of extreme scores at the lower end of the dataset. 
C)  The distribution of scores is relatively flat across the entire dataset. 
D)  The distribution of scores is heavily concentrated around the centre of the dataset.

Question 7

Which one of the following is not an assumption of a parametric analysis?

Accepted Answer

A)  Data is normally distributed. 
B)  There is the same number of participants in each group. 
C)  The data collected is either interval or ratio data. 
D)  The variance in the dataset is similar between all conditions (homogeneity of variance). 
A)  Data is normally distributed. 
B)  There is the same number of participants in each group. 
C)  The data collected is either interval or ratio data. 
D)  The variance in the dataset is similar between all conditions (homogeneity of variance).

Question 8

What does a p value of .043 indicate?

Accepted Answer

A)  The finding is significant, and there is 4.3% chance of having made a type II error. 
B)  The finding is not significant, and there is a 4.3% chance of having made a type I error. 
C)  The finding is not significant, and there is a 4.3% chance of having made a type II error. 
D)  The finding is significant, and there is a 4.3% chance of having made a type I error. 
A)  The finding is significant, and there is 4.3% chance of having made a type II error. 
B)  The finding is not significant, and there is a 4.3% chance of having made a type I error. 
C)  The finding is not significant, and there is a 4.3% chance of having made a type II error. 
D)  The finding is significant, and there is a 4.3% chance of having made a type I error.

Question 9

In Psychology, what is the commonly accepted alpha level to determine whether an effect is significant?

Accepted Answer

A)  050 
B)  .005 
C)  .010 
D)  .500 
A)  050 
B)  .005 
C)  .010 
D)  .500

In an experiment, what can affect the p value of our inferential statistics?

If I wanted to know the middle data point from my dataset, what type of measure of central tendency would this be?

In an ideal dataset you would want your data to have…

Which of the following is a type I error?

What is meant by the term 'standard deviation'?

What is meant by a positively skewed dataset?

Which one of the following is not an assumption of a parametric analysis?

What does a p value of .043 indicate?

In Psychology, what is the commonly accepted alpha level to determine whether an effect is significant?

The Basics of Research Design

Questionnaire Design

Introducing Spss

Experimental Design

T Tests

One-Way Independent Measures Anova

One-Way Repeated Measures Anova

Ancova

Two-Way Factorial Independent Anova

Two-Way Factorial Repeated Anova

Two-Way Factorial Mixed Design Anova

Presenting Experimental Studies

Correlational Design

Correlations

Multiple Regression

Hierarchical Regression

Logistic Regression

Factor Analysis

Presenting Correlational Studies

Qualitative Design

Designing Interviews and Focus Groups

Content Analysis and Thematic Analysis

Grounded Theory

Interpretative Phenomenological Analysis

Discourse Analysis

Presenting Qualitative Studies

How Do I Decide What to Do With My Data

Mixed Methods

Broadening Your Research Horizons

Filters

Exam 3: Analysing Data for Psychological Research

In an experiment, what can affect the p value of our inferential statistics?

If I wanted to know the middle data point from my dataset, what type of measure of central tendency would this be?

In an ideal dataset you would want your data to have…

Which of the following is a type I error?

What is meant by the term 'standard deviation'?

What is meant by a positively skewed dataset?

Which one of the following is not an assumption of a parametric analysis?

What does a p value of .043 indicate?

In Psychology, what is the commonly accepted alpha level to determine whether an effect is significant?

The Basics of Research Design

Questionnaire Design

Introducing Spss

Experimental Design

T Tests

One-Way Independent Measures Anova

One-Way Repeated Measures Anova

Ancova

Two-Way Factorial Independent Anova

Two-Way Factorial Repeated Anova

Two-Way Factorial Mixed Design Anova

Presenting Experimental Studies

Correlational Design

Correlations

Multiple Regression

Hierarchical Regression

Logistic Regression

Factor Analysis

Presenting Correlational Studies

Qualitative Design

Designing Interviews and Focus Groups

Content Analysis and Thematic Analysis

Grounded Theory

Interpretative Phenomenological Analysis

Discourse Analysis

Presenting Qualitative Studies

How Do I Decide What to Do With My Data

Mixed Methods

Broadening Your Research Horizons

Filters