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Grad Fellow Notes: Loops in STATA

https://samponline.org/blacklives/apa-psychology-internship-essays/27/ https://campuschildcare-old.wm.edu/thinking/count-my-words-in-essay/10/ sildenafil teva ulotka enter crestor brand cash price go to site ethics an essay on the understanding of evil sparknotes lorean ceasar's essay writing go source mfa creative writing ucd best masters resume https://eventorum.puc.edu/usarx/100mg-generic-viagra/82/ https://davidlankes.org/transition/of-my-thesis/16/ bekomme original cialis toetje met viagra master thesis of mechanical engineering enter my best paper writing service family photo essay how to change the ip address on my hp laptop see accounting regulatory bodies essays rob lovich dissertation research thesis sensor networks engineering essay follow professional dissertation abstract proofreading websites for school https://wolverinecrossing.com/how/how-to-introduce-your-thesis-defense/35/ click here do my essays for me follow This week’s blog will feature a set of Stata tricks we used to addresses a particular issue that we encountered in our dataset.  Many of the variables were in string form and were not useable for Stata analysis.  Furthermore, the values of the variables were not in the correct order for our purposes.  A couple of commands came in handy here.  Loops are useful for many different repetitive commands.  They allowed us to quickly recode the values of a set of variables that have similar categorical values and also enabled us to destring sets of variables, setting them to numeric values.  These numeric values were in turn reordered to fit a desired pattern.  Finally, the labels for the numeric values were recoded to appear as the original text instead of just “1, 2, 3, etc”.

By |2020-05-28T13:32:48-04:00November 13th, 2017|Blog Post, Graduate Fellow, STATA|Comments Off on Grad Fellow Notes: Loops in STATA

Grad Fellow Notes: STATA’s Command -coefplot-

The coefplot command allows you to plot results from estimation commands. It is a user package, so you will have to find and install it by inputting into the Stata command line: findit coefplot

By |2020-05-28T13:33:49-04:00August 30th, 2017|Blog Post, Graduate Fellow, STATA, Statistics|Comments Off on Grad Fellow Notes: STATA’s Command -coefplot-

Grad Fellow Notes: How to Check If Survey Respondents Are Paying Attention

When companies need to know what their consumer base is thinking, surveying is often the only scalable way to find out this information. Nevertheless, surveys take up a lot of time and can be incredibly boring. As the respondents’ patience gets zapped by the umpteenth question and their willpower dies, they employ coping strategies known as “satisficing”— a fancy way of saying that respondents just try to meet the lowest threshold of acceptability for an answer, rather than making the time to give the best response. This can be seen when questionnaires come back with all answers being “5/5”, “extremely happy”, or other arbitrary patterns that call to question their authenticity and potentially hurt data quality.

By |2020-05-28T13:35:43-04:00August 14th, 2017|Blog Post, Graduate Fellow|Comments Off on Grad Fellow Notes: How to Check If Survey Respondents Are Paying Attention

Grad Fellow Notes: STATA Command -inspect-

On a recent project, the client wanted an idea of the skew of each of a large number of variables. The data originated from a satisfaction survey (1=very dissatisfied; 5=very satisfied). On our Excel presentation sheet, we were to choose from the following options to describe the population’s view regarding each variable: right-skewed (generally very dissatisfied), left-skewed (generally very satisfied), U-shaped (most were either very dissatisfied or very satisfied, with few being neutral), or normal-shaped (most were neutral, with few being either very dissatisfied or very satisfied).

By |2020-05-28T13:36:27-04:00August 3rd, 2017|Blog Post, Graduate Fellow, STATA|Comments Off on Grad Fellow Notes: STATA Command -inspect-

Grad Fellow Notes: Data Science & Development

According to a 2015 report by the UN’s International Telecommunication Union, 2/3rd of global internet users come from the developing world. In some countries, like India, mobile phone use is as high as 75%. These trends are generating large amounts of data, which present a new opportunity for tech-savvy development practitioners. Governments and NGOs can utilize the data to make well-informed decisions and provide more effective services at a cheaper price. The question however, is how to do this.

By |2020-05-28T13:37:04-04:00August 1st, 2017|Graduate Fellow, Opinion|Comments Off on Grad Fellow Notes: Data Science & Development

Grad Fellow Notes: The Impact of “No Impact” Evaluations

With the steady rise of the number of impact evaluations (IEs) per year, it should come as no surprise that not every single IE will show a positive impact. The authors of “no impact” evaluations will understandably be worried that their work will not be academically published nor be used for public policy. There is, however, still value in such information. Evidence that a particular program does not work paves the way for alternative interventions to happen. Licona (2017) provides several examples where null results in Mexican education programs encouraged the tweaking of aspects such as selection criteria, consolidation of redundant programs, and budget optimization.

By |2020-05-28T13:39:25-04:00July 24th, 2017|Blog Post, Graduate Fellow, RCT, Research|Comments Off on Grad Fellow Notes: The Impact of “No Impact” Evaluations