regression analysis

Hello, I am running a multiple linear OLS regression on a DV with the following frequency distribution. The DV is the mean of 5 Likert-scale items (thus, pseudo-metric as common in social sciences). I know that the DV does not have to be normally distributed in multiple linear OLS regression...

I have log transform my model already, choose per capita variables but multicollinearity is still a problem. I plan to drop the variable which has the highest vif (over 200)... however, I read somewhere that I will be subjected to specification error/bias. I need to address this one since...

Hi guys! For some research we ran a regression analysis in Stata using the Difference in Difference method. this method uses a controlling group of countries to neutralise other effects than the effect of change in regulations. Afterwards we manipulated the data deviding it through year 2011...

I am running some analysis with mixed model with R. I get differents measures from differents persons (person as random effect), during this analysis and looking plots for each people vs measures I did not see too much differences for each person. Then I suspicious that my focus in mixed model...

My model for thesis is based on CRedit Rating of the firms and its categorized from AAA to CC from 8-1 (scale). The base paper states to use ordered probit regression and other reference paper says ordered logit model. I don't know any of the models. Can anyone guide me when to use such models...

I need to estimate the age of labor market entry for a given year (2016), but I can only use four explanatory variables: age, sex, income value, and the category in which the worker classifies himself (employee, self-employed, domestic worker, and employer). The data comes from a household...

Hi all, fairly new to statistics, so apologies in advance if the below is not suitable for this forum. I have a data set in which the behavior is fairly asymptotic with 0 over time. I'm wondering what would be the best type of regression model to fit this data given that logarithmic...

I examine the relationship between population density (PD) and the insurance density (ID) taking into account different market exploitations (ME) of an insurance company in municipalities. The correlation matrix (Pearson) shows the following relationships (all high signifikant): PD vs. ID (-)...

I have 139 subjects (ID), with measurements taken at two time points (Time1, Time2), at 148 brain regions, a dependent measure called volume, and a covariate called thickness. Each subject has 148 brain regions with volume and thickness measured twice I am trying to find out if there is a...

Hello, I’ve just joined and am in need of any help that I can get. Basically I wanted to test whether phubbing ( snubbing someone to use your phone) impacts relationship satisfaction, sense of self-worth and respect for your partner. Does anyone know what statistical analyses I would need to...

Hello all, I need help in understanding the regression result. The dependent variable is the travel distance difference within partners. The independent variable is age difference within partners. My question is how to interpret the association between age difference and travel distance...

Hello all, I need help in understanding the regression result. The dependent variable is the travel distance difference within partners. The independent variable is age difference within partners. My question is how to interpret the association between age difference and travel distance...

Hello everyone, It may sound really basic for some of you, but, can I use a hierarchical linear model if my participants are students nested within classes in two different schools? The independent variable is only one (my therapeutic intervention), and my design has two groups (experimental...

Hi, I need some help with a modeling query: I have fit 100,000 linear models: M ~ age + age^2, M is the frequency. I found 2,000 models were significant, but would like to narrow it down to find the most ‘extreme’ cases. Is this possible? Does anyone have any suggestions or any references...

So i have a binomial regression for predicting monthly spend on clothes based on shopping motivations; describing 65% of the variance. If I put in some demographics this explnattion goes higher to 69%. But can demographics be added to these models like this to get better results or should they...

Hi! I am currently writing my thesis, and stumbled upon a problem. I am testing an hypothesis in which I examine an interaction effect. Unfortunately, both the main effect and the interaction effects are significant (see image below). Right now I don't know what to report. So my questions are...

Hey :) I am currently working on my bachelor thesis in finance and I faced some problems regarding my dataset. I wanted to analyze the effect of leverage on the performance of companies and as many researchers before me, I wanted to use a multiple linear regression model. My tutor advised me to...

Hi, I am working on a replication of a research paper where I have to compile my own data to copy the regression done in the research paper. I have never done a regression like this before and I am not sure about the data I chose - I would appreciate any help and input. All the variables I...

Dear all, For my Master’s thesis, I have some difficulties with the statistical part of my research. I want to analyze the relationship between two variables: Investment in Innovation (R&D) --> Concentration Ratio 1. Research & Development (R&D) Investments in an industry 2. Concentration...

Hello everyone, I am analyzing the influence of some stores attributes (e.g., quality, price, in-store service, communication ...) on customer loyalty (more precisely share of wallet = how much a customer allocates to a specific store in %: 0-100). I transformed the dependent variables (share...