Currently unavailable: for regular students
Degree: Psychology (Bachelors) - Durham University
Hi! My name is Emily and I am a Durham University student studying Psychology. I have always had a love of academia and am particularly passionate about English, and of course my degree subject Psychology!
I have a vast amount of work experience with children and teens which has allowed me to develop my communication skills, patience and ability to build a professional but friendly rapport. Past experience includes mentoring a Year 7 form group, a guided reading scheme with a reception class from a local primary school, voluntary work at a summer camp for children with additional needs and working in a children’s play centre.
Furthermore, I have past experience in both teaching and tutoring which I believe has allowed be to gain insight and develop the skills needed to be a great teacher! Previous experience includes spending a summer in Romania as an English teacher and tutoring French children English via videoconference.
What will our sessions be like?
I believe that a successful session is one which is tailored to the need of an individual. Therefore, whether you need help revising specific content, general exam tips or key skills, we will work together focussing on the areas you need help with. Furthermore I will alter my teaching methods in order to suit your individual needs and learning style whether this be rote repetition, visual learning or mnemonic techniques. We will work together to the best results for you.
What exam boards and topics did I study?
Below I have listed the specific exam boards and topics I studied which may give you an indication of exactly how much I will be able to help you, however as I previously stated I absolutely love English so I am generally well read and will hopefully be able to offer help with most GCSE literature texts. With regards to Psychology, I would hope that with it being my degree subject I will be able to help with most topics covered at A-Level :)
GCSE: English Language – AQA
GCSE: English Literature – AQA
Othello – William Shakespeare
Dr Jekyll & Mr Hyde – Robert Louis Stevenson
Of Mice and Men – John Steinbeck
Poetry Anthology – Sunlight on the Grass
Poetry Anthology – Moon on the Tides
A-Level: English Language – AQA
Language and Gender
Language and Power
A-Level: English Literature B – AQA
Selected Poems – Robert Browning
The Rime of the Ancient Mariner – Samuel Taylor Coleridge
The Road – Cormac McCarthy
The Great Gatsby – F. Scott Fitzgerald
The Yellow Wallpaper – Charlotte Perkins Gilman
Mrs Dalloway – Virginia Wolf
Dr Faustus – Christopher Marlowe
The White Devil – John Webster
Wuthering Heights – Emily Bronte
A-Level: Psychology –AQA
Biological Rhythms and Sleep
Intelligence and Learning
If you have any questions at all please feel free to send me a ‘WebMail’or book a ‘Meet the Tutor Session’. If you are interested in booking a session please remember to tell me your exam board, your topic and what you would like to cover in the session so we can make the session as helpful for you as possible!
|Psychology||A Level||£20 /hr|
|English Language||GCSE||£18 /hr|
|English Literature||GCSE||£18 /hr|
|Before 12pm||12pm - 5pm||After 5pm|
Please get in touch for more detailed availability
Knowing the difference between nominal, ordinal, interval and ratio data is important because these influence the way in which you can analyse data from experiments. For example, when data is collected from an experiment, the experimenter will run a statistical test on the data to see whether the results are significant. However, many statistical tests only work with certain types of data so it is important to identify what type of data you are working with.
(Plus, questions regarding the different types of data are very common in research methods papers, so if you are able to remember the differences it is an easy way to pick up marks in your exam!)
Nominal data is named data which can be separated into discrete categories which do not overlap. A common example of nominal data is gender; male and female. Other examples include eye colour and hair colour. An easy way to remember this type of data is that nominal sounds like named, nominal = named.
Ordinal data is data which is placed into some kind of order or scale. (Again, this is easy to remember because ordinal sounds like order). An example of ordinal data is rating happiness on a scale of 1-10.
In scale data there is no standardised value for the difference from one score to the next. This can be explained in terms of positions in a race (1st, 2nd, 3rd etc). This is ordinal data because the runners are placed in order of who completed the race in the fastest time to the slowest time, but there is no standardised difference in time between the scores. For example the difference in time between the runners in first place and second place is by no means the same as the difference in time between the runners in second and third place.
Interval data is data which comes in the form of a numerical value where the difference between points is standardised and meaningful. The most common example of interval data is temperature, the difference in temperature between 10-20 degrees is the same as the difference in temperature between 20-30 degrees.
Ratio data is much like interval data – it must be numerical values where the difference between points is standardised and meaningful. However, in order for data to be considered ratio data it must have a true zero, meaning it is not possible to have negative values in ratio data. An example of ratio data is measurements of height be that centimetres, metres, inches or feet. It is not possible to have a negative height. When comparing this to temperature it is easy to consider the difference between interval and ratio (which may be a little confusing at first!), as it is possible for the temperature to be -10 degrees, but nothing can be – 10 inches tall.