Mann Whitney U Test - DV produces ordinal or interval type of data

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Mann Whitney U Test - DV produces ordinal or interval type of data - Independent Measures design - Exploring a difference between each condition (levels of the IV).

The teacher decided to conduct research with students on the course to decide which new books to choose. On a piece of paper, students had to rate (out of 10, with 10 being “We love this textbook – BUY BUY BUY”) the overall likelihood of choosing the student-centred psychology textbook. Out of 12 participants, 6 of the participants gave ratings for one of the textbooks (Textbook A), and the other 6 participants gave ratings for the other textbook (Textbook B). Mann Whitney U Test

Mann Whitney U Test

Step 1 Mann Whitney U Test

Step two and three Mann Whitney U Test

Step four N1 = group 1 N2 = group 2 R1 = sum ranks of group 1 U = observed value Step four Mann Whitney U Test

Wilcoxon DV produces ordinal or interval type of data. Repeated Measures design. Exploring a difference between each condition (levels of the IV). Wilcoxon

Psychologists were interested in knowing whether a group of students’ ability to memorise words was because of the ear that they used to hear the words during listening tasks. In order to investigate this, participants were individually presented with an audio recording of a list of words. These were randomly presented to the left or right ear. Participants gave two sets of scores – words remembered correctly from the left ear and words remember correctly from the right ear. When the mean and standard deviation were calculated, it was found that the data was positively skewed which suggested that the data was not normally distributed. As a result, a Wilcoxon’s was used to examine the difference between each ear and to see if the difference did not occur by chance. Wilcoxon

Wilcoxon

Wilcoxon

Wilcoxon

This is your observed value You will use this in the look up table Wilcoxon

Chi Square Checklist for using the chi-square test: DV produces nominal type of data Independent Measures design Exploring a difference between each condition (levels of the IV), or an association. Chi Square

On a recent trip to London, a research psychologist could not help but notice the number of people walking in streets with earphones. Surprised by this one afternoon, the research psychologist decided to conduct an observation. She observed the number of people with earphones in their ears and to see if there was a difference in the frequency between male and females. Chi Square

Chi Square

Chi Square

Chi Square

The actual number Worked out in the previous step Last step Chi Square

Binomial Sign test DV produces nominal type data Repeated Measures design Exploring a difference between each condition (levels of the IV). Binomial sign test

Two students wanted to examine whether their peers would be willing to share their French fries when in the school refectory. The two students wanted to know if a celebrity was sitting on their table or if students from another school were sitting on their table, would their peers be willing to share their French Fries. They hypothesised that students would be more likely to share with a celebrity Binomial sign test

Binomial sign test

Binomial sign test

Spearman Appropriate for variables that produces at least ordinal type of data Exploring a relationship between co-variables A correlational design has been used. Spearman

Fifteen students in a Psychology undergraduate course, where asked how long they have had their Social Media profile and were asked to rate, on a 5 point scale from 1= not at all to 5 = definitely , their beliefs about whether Facebook is an effective social media tool to connect with their friends. Spearman

Spearman

Spearman

Spearman

Spearman

Spearman

Spearman

Spearman

Spearman