I'm the complete opposite, I've done no work in a week and worse stillive barely thought about my Phd! No idea how I'm going to write up if this s my work motivation. Still had a nice break, managed to see lots of family and go running. I need to panic myself. note to self: "YOU ARE GOING TO A CONFERENCE NEXT WEEK AND NEED TO PRODUCE A POSTER!"

I'm the complete opposite, I've done no work in a week and worse stillive barely thought about my Phd! No idea how I'm going to write up if this s my work motivation. Still had a nice break, managed to see lots of family and go running. I need to panic myself. note to self: "YOU ARE GOING TO A CONFERENCE NEXT WEEK AND NEED TO PRODUCE A POSTER!"

Anyone see this? I'd love to be publshed and these kids are at age 8!

http://www.wired.com/wiredscience/2010/12/kids-study-bees/

In don't partcularly like my title, it's too long and the average word length in it is ridiculous! I've used variations on the same title throughout my PhD and always thought I'dcome up with something better in the end...I didn't!

OOH and forgot I put a christmas hat on my picture!

I kind of am. We had a house chrsitmas dinner last night, and my boyfriend has decorated the front room and the snow makes it all chrstmassy :-) But then I have to get a poster done for a conference first week in Jan, when I'd much rather be wrapping pressies, buying the last few things I have to get. I really can't afford to take any time off but am going to see family for about a week and it's going to be hard to sit down and do anty writing while away.

I'm not sure if I'm understanding right, but think you want to know whether costs are highly important in your sample (ie people respond with 4/5).

I'm kinda musing so don't know how helpful any of this is.......

You could do a chi sqaure test of the number selecting each category against the nul hypothesis that scores are equally spread accross all categories.....except this null hypothesis assumes that people are equally likely to selct all values on the scale, when people are actually less likely to select the extreme values. I suppose you could get ound this by collapsing 4 and 5 together and 1 and 2 together.

Another idea could be to compare scores accross the 15 items on questionnaire to see which are most important. But I don't know how that fits your hypotheses.

I'm not sure I'd use means and medians with the data you have as it is ordinal rather than scale, and you can't really argue that the difference between strongly disagree and disagree is the same as the difference between disagree and indifferent for example.

My lack of career aspirations sometimes puts me off academia. I don't really want the stress of being a prof. I don't want to be influential and top of my field.
I'd like to do research I enjoy, have a good work life balance, a family etc but I'd also like job security.......sometimes wonder whether academia is going to allow that.

I've got a twitter account but barely go on there. I spend enough time procrastinating that I don't need more distractions so I'm not putting the effort into getting into it.

It's better to be safe, plus the Uni may itself shut today. Mine does at the first sign of snow (well is a hilly campus and the buses struggle to run there)

I thought r was used as effect size in correlations, but this can be converted to other efffect siz measures (such as Cohen's d) so maybe this is what your supervisor wants. Or maybe they just want you to explicitly state whether it is large, medium or small. Probably best to check with them, especially if they are not a stats guru they may not know r is the effect size.

Glad to hear it went well. I did wonder.
I like buses. There's a company here that runs on old cooking oil. Smells a bit funny but the drivers are always friendly. :p

Buses have a bad rep but aint that bad really.

The do's and don'ts somewhat depend where abouts you are, when I lived in Liverpool it was acceptible to talk to the fellow passenger (or at least I rarely had a journey where I escaped being talked to!) in London definitely not!

I generally pod up, and hope to find a copy of the metro to pass the journey. Other acceptible bus past times are books, reading academic work, playing on my phone and knitting.

Thank the driver when getting off (except in London, where I don't think it is common practice, certainly wasn't when i lived there) and don't expect to get change for a £20. WHere I live will usually change a £10 but sometimes you have to put up with a small amount of moaning!

Vest top
Wooly jumper
Jeans
normal socks
Boots

Came to Uni as it is a darn site warmer in my office that at home. Also convinced OH to drive me as he had spent ages this morning de-icing the car in case he got called up to work, and I suggested that if he drove me it would mean that wasn't a waste of time!

Hmm, if it helps this is what the manual says it is doing...

Even when search is not problematic it is important to ensure that the Ex-Gaussian distribution provides an adequate model of the data. RTSYS allows evaluation of the Ex-Gaussian model, both graphically, through plotting the Ex-Gaussian curve on a histogram of the data (see Figure 5), and inferentially, through a c2 test. The c2 is calculated by comparing the observed and expected number of RTs in each of a series of categories which span the range of the RT distribution.

A difficulty with c2 testing is choosing the width of the categories, especially when the scale of distributions may vary widely. D'Angostino and Stephens (1986, p. 69) recommend the use of c2 cells with equal probabilities under the fitted distribution, citing a reduction in bias and better small sample properties. Unfortunately, determination of the width of equal probability bins requires search using the integral of the Ex-Gaussian pdf, an operation more computationally expensive than parameter fitting itself. Instead, RTSYS uses categories with equal numbers of data points, approximating equally likely Ex-Gaussian categories for reasonable fits. The user may select the number of categories or allow RTSYS to automatically select 2n^2/5 categories (a heuristic suggested by D'Angostino & Stephens, p.70). When a category produces less than 5 expected or observed values, RTSYS collapses the category with the following category to ensure that the assumptions of c2 testing are not violated.