Need some suggestions on sentiment analysis?

I am done with the component analysis and Cluster analysis and it is time for my paper to have a discriminant analysis that I have no idea about!

In a single organization in Heracles, will operationalizing an organization-level construct like "degree of centralization" at the individual level by surveying all employees (survey method) rather than units or department's heads and managers (institutional method) be considered a sound operationalization practice? And how does it affect analyzing the relationship between a set of such organizational constructs? References to literature will be much appreciated.

Hello,

I'm hoping to add some quantitative analysis to a thematic part of a larger study. I have not done any quantitative work for 10+ years so I'm a little rusty. I also don't have access to SPSS so am hoping for something workable in excel. 

I have two groups of participants (n=32, n=18) who have each responded to survey and interview questions which have resulted in the emergence of a series of themes. I would like to analyse whether certain characteristics of the participants (e.g. gender, sexuality) make them more likely to give responses that map to certain themes. Is a chi-test the most appropriate / achievable approach to do so?

Thanks,

Sarah 

I have data sets from multiple phases of a pilot study in which a digital alternative was proposed for government-led mosquito surveillance. As an example, in the first phase, I designed for 5 Ministry of Health officers to assess 80 mock premises each, 40 with the digital tool and 40 with pen-and-paper. I planned to block by MOH officer, use premises inspection tool as my independent variable of interest, have 40 replicates, and analyze predefined time and accuracy dependent variables. Due to work-day related time constraints, I have varying numbers of completed replicates per MOH officer. Further, due to secondary processes at work (e.g., natural limits for my dependent variables, a learning curve with the digital tool for MOH officers unfamiliar with tablets, plus the user variable I blocked for), my data is non-normal. I've pursued the Sheirer-Ray-Hare test as a possible nonparametric assessment alternative, forfeiting excess replicates from individuals who completed more of the study than the MOH officer who completed the least, but I'm concerned that its esoteric status will obfuscate my conclusions. Further, in one subsequent phase, only 4 replicates were achieved, which fails to satisfy the Sheirer-Ray-Hare requirement for 5 replicates per block.  

If I take the mean value of what I intended to be individual replicates, I can theoretically treat my analysis as simply a paired t-test. The replicates were collected in succession all in one session, though MOH officers rotated between using digital vs paper tools every 20 mock premises (sidenote: MOH officers were randomly assigned which collection tool they started with and at which premises they started). Per Shapiro-Wilk normality assessment, my non-normality issue is nullified. However, I am concerned about the appropriateness (re ethics) of this statistical maneuver, in addition to losing all the power behind the replicates we collected. Any advice?

I would like to study if communication patterns between ex-partners/ex-spouses change over time, so I am looking for a validated scale regarding communication style between ex-partners (not their communication frequency or content of the communication) to include in a quantitative questionnaire.

Thank you very much in advance!

Can anyone help me, in multilevel model variant of triangulation design, does it really matter whether qualitative or quantitative comes first such as the ones in explanatory (start with quantitative) and exploratory (start with qualitative) ? Thanks.

This is a quantitative research with a sample of 60 event attendees

Questionnaire divided in 3 sections:

- 4 questions. Demographics: gender, age, nationality, qualification 

- 6 questions. Sustainable practices (knowledge)

- 9 questions.  Attitudes towards sustainability 

Background: I'm using an online survey company to launch a questionnaire nationally. The survey is to identify factors affecting online shopping intention, so there will be a lot of scale questions, as well as respondents' demographic information. I'm asking the company to get 50 responses before carrying on the full survey.

Question: Would you suggest some quick stat tests using the pilot data, to check if the responses are of high quality? (whether the profile is diversified / whether they answered the questions carefully / etc)

Many thanks for your help!

Li

I am using AMOS for data analysis so i need an instrument that have 3 or more then 3 items. i shall be very thankful.