Today I am working with a stats student who is completing a science degree. As a tutor and mentor for those in the social science, I do find it beneficial to expose myself to Other Ways of Doing Something.
At the mo I am watching a youtube vid to learn how to calculate Mu and another way of working out a population variance, using general science formulas.
Fun! Scary! Not as overwhelming as I first thought. Phew ~:-)
Expectation of Variance
Binomial distributions of a random variable (n, p).
Expectation, Indicator Random Variables and Linearity.
As a psych n stats tutor I read many a lab report. Following are some resources I gathered this evening, that aim to help you to enrich your critical writing and descriptive skills when writing a psychology lab report.
Note in the first video that APA 5th formatting style is used. Currently APA 6th is the required.
Also, I disagree with Stewart’s advice to students to not be explicit about random/non-random sampling used. How do you and I know, that you actually understand what you are saying by random, if you do not state it (with citation and date).
How to Format a Lab Report (Tables) Note that the Chemistry Lecturer does not align with APA 6th criteria. So, use the tips and tricks for creating Tables to align with APA expectations.
Lab Writing Tips is great as it provides sets of questions to be answered, and so each section of the lab report gets written. Then all you need do is flesh it out with evidence for examples etc.
Again, remember that APA 6th formatting style is what is expected of you as a student of psychology.
Demographics of participants enables identification of potential confounds, as well as noting variables that may control outcomes.
A wealth of background characteristics exist for each participant. So, your literature review will include scoping other’s designs for demographics collected, commented upon or ignored.
e.g., A study of refugee children requires attending to demographics specific to the topic, such as trauma and family support, as well as general demographics such as gender and age.
Alternatively, investigation of the demographics of happiness yielded the conclusion that, “… some of us are happier than others, and this variance helps to paint a portrait of the kind of people Americans are”.
Further reading about the importance of demographic data on participants can be read here: