1	At what point do you feel like you have enough variables in your multivariate analysis? You can always find something else that will influence a new variable, so by that logic each causal model would be a bowl of spaghetti. (Hector Biaggi)
2	I remembered that you have mentioned it is better to avoid create an index. So what’s a better solution to measure a concept if there are many relating questions included in the questionnaire? (Xinyi Gong)
3	How do you determine a proper (or appropriate) amount for a weight? (Matthew Jahns)
4	How do you know you're done with a literature review? (Ryan Jessee)
5	For the abstract, I have difficulty separating it from a summary, how would I make it more concise for my final paper? (Samantha Miyares)
6	How to come up with the structure of literature review? (Szu-Min Yu)
7	What is hierarchical multiple regression (same as regular multiple regression)?  (Jennifer Zhang)
8	What's the best strategy to narrow down research topic to make it manageable but also take into account all the possible explanations? (Xinyi Zhang)
9	How to solve the problem of reverse causation? Specifically for education and ses outcome (eg. people may know that higher educational degrees leads to the wanted higher ses status, thus pursue higher education.)  (Haowen Zheng)
10	Should we put some STATA data analysis results in the proposal? (Qian Zhu)
11	Is it possible to have a variable that both moderates and mediates? If so, how does that look in terms of a model? Or does mediating encompass moderating as it completely moderates the effect? (Hector Biaggi)
12	How to deal with self-selection bias except for dealing with them as control variables? (Xinyi Gong)
13	How should we be conceiving our practical research schedule? (Matthew Jahns)
14	What happens if your hypothesis is wrong and none of your statistical tests are significant?  (Ryan Jessee)
15	Your way to read stacks of paper efficiently. (Ruichan Ma)
16	In terms of validity, what are research experiments weakest in terms of establishing? (Peter Mattingly)
17	The Zimbardo experiment arguably gave the field of social psychology very valuable insight into human behavior. How does one gauge the "acceptable" amount of harm in situations like these? (Christine Nguyen)
18	When trying to understand the causal relationship between multiple variables, when is it appropriate to use path analysis? (Sandhya Ramakrishnan)
19	How detailed should our proposals be at this stage? (Katherine Smith)
20	There are some literatures in the introduction. So how do I know what literatures should be put in the intro rather than literature review? (Szu-Min Yu)
21	I encountered this question when I was doing LR. How to disentangle period and cohort effects? Especially in the case of using births cohorts to analyze the effect of family background on outcome (eg. prestige of first job). (Haowen Zheng)
22	For analyzing data, if I am still not sure what kind of statistical model I could use at this point, then how to address this part in my proposal? (Qian Zhu)
23	Could we talk a little more about the alternatives to p-values and where/how they might add something to a project like this? When are they most-often used? (Roberta Barnett)
24	How do you decide what p-value to test against (other than the standard .05)? (Jennifer Zhang)
25	One of the suggested readings talks about propensity scores. I don't quite understand it. (Hector Biaggi)
26	I met IRB approval issue when I apply for my data source, could you please discuss how to cope with that? (Xinyi Gong)
27	Your way to decide whether an article is reliable, which is talked in the book The Craft of Research, but I'd like to learn Prof. Jackson's approach. (Ruichan Ma)
28	What would be the main thing(s) to consider if I were debating whether or not to do a cross-sectional versus a panel design research project? (Peter Mattingly)
29	What if I continue to encounter new article that has already addressed the question I want to study? I know for this time my LR is not exhaustive, does it mean that I cannot settle entirely on the research topic (at least by now)?  (Haowen Zheng)
30	What are the essential requirements for identifying a causal effect? (Peter Mattingly)
31	What is the best way to connect the importance of research with popular current events or a news cycle? (Roberta Barnett)
32	In studying social mobility, how do I attribute the changes? For example, how do I tease out structural changes vs. growing impact of education itself? (Haowen Zheng)
33	"What specific questions will it investigate (what will it look at in the data that corresponds to the theoretical issues? " How should we think about this differently from the questions in the theories/hypotheses section? (Roberta Barnett)
34	How to narrow down a question when your topic is too broad? (Ruichan Ma)
35	If I were to investigate the GSS to determine the effect of educational attainment on one's self-reported happiness, what kind of research design would this be? (Peter Mattingly)
36	How do you differentiate the fine line between "exploitative" research and informative research? (Christine Nguyen)
37	What are the different formal ways of stating a hypothesis? Could you please elaborate and give examples of the following types a) If-then statements, b) mathematical statements, c) continuous statements, d) difference statements. (Sandhya Ramakrishnan)
38	How should we conceptualize our methodology if it is not purely causal? (Katherine Smith)
39	When I submitted my task 8 assignment, you mentioned that studying state population sizes may be difficult, could you elaborate? (Samantha Miyares)
40	Would it be possible to get track changes/comments on the rough draft? So that we have more individualized and targeted feedback. (Xinyi Zhang)
41	How would you analyze state populations in a topic like mine? (Samantha Miyares)
42	Do we have to draw the graph of paths of the model in the thesis? (Szu-Min Yu)
43	What else can you use to test for moderator effects other than multiple regression? (Jennifer Zhang)
44	If I were interested in conducting a project with a deductive research design, what is the first thing I should consider? (Peter Mattingly)