What statistical analysis should be used for Likert-Scale Data with 6 groups?

We polled an online survey to 2 groups. We received 56 responses. Category choices for respondents were: 'Satisfied', 'Dissatisfied', and 'Neither satisfied or dissatisfied'. What type of statistical analysis could be used to determine a) differences between the 2 groups, and/or b) differences between the 3 types of responses to questions?

Measurement tool is unipolar 5 points Likert scale, Question: In your opinion, how influential is each of the following factors (i.e. appearance, price, performance … so on (nominal data)) in consumer decision-making when buying a product? (Answer options: Not influential, slightly influential … so on). Aim: determination of hierarchical rank between different factors (e.g. X>Y>Z (X=2Y, X=3Z)), to conclude factor X is the most important factor and X=2Y in consumer decision-making when buying a product. If you can suggest a similar study example also ı will be really thankful.

I am trying to determine whether there is an association between time spent online and reported problems. I have divided my participants into two groups: the low user group and the high user group. I would like to see if there is a difference between the two groups. I used a Likert-Scale for my questionnaire, where the participants could either strongly disagree, disagree, neither agree nor disagree, agree, or strongly agree with a number of statements regarding various issues related to their Internet habits. Does anyone know what kind of statistical analysis I should use in order to determine whether there is an association or not?

I'm hoping to get some help choosing the appropriate statistical analysis of Likert scale data collected from a pre- and post-intervention survey. These questions asked participants to rate their perceived skill level with various competencies on a scale of 0 (no knowledge - 6 (very knowledgeable). The same survey was used each time and the sample was the same group of 8 participants. The survey was conducted anonymously and unfortunately, reliable identifiers were not assigned to each participant. My question is, beyond simple things like descriptives and crosstabs to compare means, are there other statistical analysis that I could run? Would paired samples t tests be valid without having identifiers for participants since both variables have data from the same group and 100% response rate? Thank you for your help, this is a mixed-methods study and quantitative analysis is definitely my weaker area. I'm using SPSS for analysis if that matters.

Hello everyone, I am currently working on my thesis where I am analyzing if some factors have impact on purchasing behavior. 15 of the questions in my survey were were Likert Scale (1-5) and I would like to use them as independent variable. Total money spend would be dependent variable and I would also like to use income and gender and some other stuff as independent variable. What statistical analysis would you recommend me to analyze my data? I converted my Likert scale data into factor data with 5 levels and now I am lost.

Can I use OLS or would you recommend something else?

Any help would be really appreciated

Hello everyone!

I'm working on my master thesis survey and I have some problems analyzing the Likert data. In particular I asked respondents to rate their agreement (strongly disagree, disagree, agree, strongly agree) about the importance of 7 practices during a negotiation process. Every Likert question corresponds to one practice. My intension is understanding if the importance they address to each practice is associated somehow with the years of work experience (where the years of work experience are categorized as "less then 1" "between 1 and 3" and so on). Does anyone know what kind of statistical analysis I should use in order to determine whether there is an association or not?

I am doing my phd thesis in second year and need to consult you about survey scale, my survey will be online and I am not sure which scale helps prevent bias responses: bipolar (2statments) VS unipolar (one statement)?

Some research saying that bipolar reduce the bias and helps for more reliability and validity, but I have some concerns about how participants respond on two statements easily without difficulty, also how creating bipolar survey online! Unipolar 7-point scale with one statements is still good, very common and can be trusted as well!

Actually it is a baffling matter!

Can you help me with that please?

Thanks and Best Regards,

Kemo

And the scores on the questionnaire are on a likert scale e.g. 1 = none, 2 = rarely, 3 = a few times, 4 = often, 5 = very often, should you then undertake a 'descriptives' test in SPSS to get the mean scores to see at which time point the scores were higher? As I have just done this but I have a result of Mean=3.24 (time point 1) and Mean=3.70 (time point 2). Should I round the two numbers off to i) time point 1 mean = 3 (a few times) and ii) time point 2 mean = 4 (often)?

I am concerned about the survey's validity and reliability. Alternatively, different scales can avoid 'common method bias'. What are your views...