Discover the world's scientific knowledge
With 160+ million publication pages, 25+ million researchers and 1+ million questions, this is where everyone can access science
You can use AND, OR, NOT, "" and () to specify your search.
What are the preferred methods of payment in US, EMEA, China? Is there a paper available with a trend analysis?
Currently, I am researching social media trends and their postage growth and decay rate on Twitter. I want to collect data in order to graph each individual trend. To do this, trends are being represented by hashtags posted by users (ex. the Ice Bucket Challenge would be represented by #IceBucketChallenge). My problem with all this is the program needed to collect the data. I have been researching Twitter analytics programs for some time now, but most of the programs I have found either have a limit in the number of posts available to collect or a limit in time. Do any of you guys know of a program that can collect the number of posts containing a certain hashtag per day that goes at least 1 or 2 years back on Twitter? Also I am not willing to pay over 50$ for this program. (Usernames for each poster are also needed for further research). I appreciate any suggestions. Thank you guys so much!
I'm studying on an educational reform in Turkey. The reform re-structured the system from 5+3 to 4+4+4. Related to this main purpose of my paper is determining the effect of this reform on student achievment at middle school. There is a good match between the first phase of this reform and implemenatation of TIMSS 2011 and 2015. I'm trying to do trend analysis based on 2011 to 2015 results, What is your opinion about using TIMSS data for this research?
After having some quite useful discussion with some colleagues (but not expert in this field) about two major methodological aspects of my PHD-Thesis I am still quite uncertain and still looking for useful references in order to justify my research design.
Currently, I examine the way language is used in “heated debates” / “crosstalk” charged with emotions due to a specific constellation, for examples during amateur football / soccer games.
Therefore, I choose a triangular (qualitative) approach (semi-conductive interviews, participant observation and content analysis) in order to generate hypothesis which will be tested through a standardized online-survey (classic sequential mixed-methods approach).
The semi-conductive interviews (one singular semi-standardized questionnaire) were being conducted by students from 2 different universities in 2 different cities, at 3 survey periods (autumn 2016, spring 2017 and autumn 2017), the participant observation was being conducted over one season likewise the content analysis of one chat protocol. Consequently, previous (even if superficial) results influences posterior findings (especially observation). However, I do not project to compare period 1 with period 2 or findings generated through observation with findings obtained through a content analyses of a chat protocol. It is rather about having a large amount of data in order to generate useful hypothesis which will be tested afterwards.
My questions are therefore:
1. Is it rather a longitudinal or a cross section study? Maybe something in between, like a (special) trend analysis? Do you know relevant and recent published literature?
2. Given that I chose to observe as a (secret) participant a group of football players (the idea to do so came by playing with them and hearing what they said) without having an “informed consensus”, I would like to know, if you have convincing arguments which “justifies” the procedure or if you know relevant literature dealing with this topic.
If anyone know the method of bias correction please kindly let me know. I am struggling in my research for this. My observed data period is 01.01.1985 to 31.12.2015.
Please if possible help me. I did downscaling by SDSM. But modeled data and the observed data are not correlated well. I am doing all the analysis by using excel. So kindly asking please give me an example calculation about bias correction of rainfall, temperature and evaporation in excel workbook