Questions tagged [analysis]

For questions dealing with the applied analysis of a specific dataset or design of experiment. Posts tagged analysis are requesting statistical consulting assistance from the network. Questions tagged analysis need to be phrased appropriately.

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How do I perform a content analysis in SPSS? [closed]

I am struggling to find the right statistical test for a content analysis. I have categorized and coded the different variables (e.g. text length) and generated the Excel file for the analysis. The ...
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Potential direct effect of moderator on independent variable [duplicate]

I am looking at the effect of a moderator variable (MV) on the association between my independent variable (IV) and my dependent variable (DV). I have now come across a theoretical paper which ...
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Time series data in regression analysis

I'm making a regression analysis in Python to find out the dependence between the stock price and several variables : my dependent variable - share price of company, independent variables - price of ...
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Ordinal Regression - Using a Continuous Attribute of 3 Categories as a Covariate as a Proxy for the Categories

I'm conducting an ordinal regression with SPSS 28. I have 3 subsets in my data (n=87 total, mostly equally distributed between the subsets) that represent 3 different scenarios where study ...
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How to determine uncertainty of data from a bayesian posterior distribution

I am a bit confused as to how we determine the uncertainty of a set of data from Bayesian Analysis. In my specific case, I am asked the following: Assume $f(x,x_0)$ as the correct model for the ...
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Statistical analysis of carbon dioxide flux data

I have been measuring flux of CO2 in (mmol m-2 d-1) from two different rivers and I now want to do a statistical analysis using IBM SPSS but I'm not sure where to start. One lake is showing negative ...
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Power with a hierarchical multiple regression analysis [duplicate]

I was wondering how to calculate the power with the below data? I did a hierarchical multiple regression with two models. There are a total of 87 participants and the alpha level is 0.05.
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How to calculate your power in GPower? [duplicate]

I was wondering how you calculated the power via Gpower with these results? There are a total of 87 participants and the alpha level is 0.05.
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How to calculate power?

I was wondering how you calculated the power via Gpower with these results? There are a total of 87 participants and the alpha level is 0.05. It is a longitudinal design in which I performed a ...
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repeated measures design vs. MANOVA power analysis

My collaborator and I are building a study where participants will read some profiles that vary for 3 dimensions each having 3 levels (9 profiles in total). For each profile participants will have to ...
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How to test a hypothesis (python) - customers with larger fares are more likely to travel alone?

How to test my hypothesis - the larger the fare the more likely the customer is to be travailing alone? ...
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What's the best way to analyse changes in 1 DV due to 2 IVs and numerous covariates across 3-waves in R?

I need some help deciding how to model/analyse some data. As I'm still selecting a model I don't have code to share right now. The research situation is as follows: a 3-wave experimental study (wave1: ...
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How to represent ranked ANCOVA in a violin plot?

When I did ANCOVA, I did not find normality and equality, so I did ranked ANCOVA(nonparametric tests) using SPSS. well.. I think that if I use just ANCOVA(parametric tests), I could create the violin ...
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Regression with multiple dependent variables

I am looking to derive the regression equation for the data in the table below however i am faced with two problems, using Excel, regression equation can't be derived due to the NAs in the data multi-...
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Question about proper Data Analysis methods for A Discrete Dataset

everyone. I am a fourth-year statistics student and I wonder if I could have some recommendations for proper analysis methods for this dataset. The dataset contains var1, var2, var3, var4, var5, var6 ...
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What part of a dataset do I apply a traditional, statistical analysis to linear regression?

Note: I've edited my question as recommended below by @EdM. Suppose I have a supervised learning problem on a sizeable tidy dataset with real values—-e.g., the dataset has 100,000 rows or observations....
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What analysis should I use?

I performed an experiment where 20 participants were measured on the same 4 conditions. There are 2 factors: Conditions(left, right, up down) and orientation (near, far). Trying to find if the ...
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3 categorical variables analysis

apologies if this question is obvious. I am trying to determine what type of analysis I should run for an observational study I am doing. The variables are sleep (sleep deprivation <7 hours or ...
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Mediation Analysis with Only Indirect effect

currently doing a mediation analysis for the following research framework (A -> mediated by C-> E) With such a framework, there's an indirect effect of mediation and no direct effect. Can the ...
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Combining earnings report data with customer satisfaction survey data

There is a popular Kaggle dataset on airline CSAT. It is a customer satisfaction survey using features of inflight services and travel procedures such as ...
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One or multiple regression/s?

Say your equation in a paper has 6 coefficients, one being your main interest (dummy for Disability == Having at least one disability: coded 0/1). This estimation is done. BUT you want to dig deeper, ...
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Can I pool data sets answering identical question for different examples for moderation multiple regression analysis?

I am currently doing research on the moderation effect of the aim on factors (independent variables) that influence technology acceptance (dependent variables). My research is as follows: Group A had ...
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Kaplan Meier estimator which form to use

I'm seeing different forms of kaplan meier estimator. The most intuitive one for me is $$ \hat{S}(t) = \prod_{i=1}^{j}(1-\hat{h}_{i}) $$ but my textbook uses $$ \hat{S}(t) = \prod_{r=1}^{i}\frac{n-r}{...
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Which statistical test should I use to evaluate my hypothesis?

My hypothesis states that "Multiplayer Game is more enjoyable than the single-player game" and lets suppose I have 2 variables one categorical with two categories and the other one is ...
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How to implement 'Multiple Complete Random Imputation' as described by Kroh (2006)?

I am a PhD student trying to perform an exploratory factor analysis on response data from a set of 5 attitudinal Strongly disagree/Strongly agree Likert items for a survey study I am working on. The ...
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Missing Data in Exploratory Factor Analysis due to participant's inability to respond (i.e. Not applicable)

I am a researcher working on some data analysis for a questionnaire study on the influence of environmental context on portable media listening experiences. The main section of my questionnaire ...
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Is Factor Analysis what I am looking for?

I have a calls dataset with ~20 variables and I'm trying to determine what combination of variables lead to a "Win" or a "Loss". For example, when variable A is high and variable B ...
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Advice on type of analysis

I do not have much experience in statistics, so I am reaching here for advice. Just feeling a bit lost to start with! I have data on 100 trees, for each of which I have the following attributes: ...
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Statistical test for questionnaire with various components

I was asked to analyze a research questionnaire that consists of a Likert scale, a checklist, and questions with yes, no, and don't know as response, as part of the pilot testing. I was struggling ...
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What tests to carry out when all variables are categorical?

Edit 1 - Actually the "upcoming concept related to how employees work" is 4 day work week... i am trying to find perception of employees of 4 day work week...The employee has various ...
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How to cluster data based on temperature values and time

I'm having an issue analyzing data of oil temperature over time (vehicle engine oil). My goal is to detect the parts where the temperature cools down over time in this "exponential decay" ...
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Taking quantities sold into account with Market Basket Analysis

When performing a Market Basket Analysis you can calculate the 'support', 'confidence' and 'lift' of the Antecedants products (LHS) and consequents products (RHS). However, if I want to use a Market ...
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Which statistical test to use? (Repeated measure, ordinal DV)

I ran a pilot study and now that I have the data, I've become confused on how to analyze it. Participants were simply given a list of ~50 behaviours and asked to rate on a Likert scale (1-9): ...
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What methods to do for analysis

So i am designing a study where there are 2 groups of students. One group which is part of Y number of departments have not received trainingA. The other group of students which are part of X number ...
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Regression for a data frame of bicycle services

I have a data frame of bicycle services from Juanary 2020, that look like this Travel_Id User_Id Gender Start_time End_time Origen_Id Destiny_Id Age Duration Day Lat_Ori Lon_Ori Lat_Des Lon_Des ...
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A times series problem with variable length and time shifted sequences

I would like to get some guidance (maybe papers, algorithms to try) on a times series problem and I don't know how to approach it, as I am a novice in the domain. The problem brings several challenges ...
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Representative Sample of large dataset

If you wanted a representative sample to analyse interactions/posts, but couldn't pull the huge amount of data online has(billions/millions of records), how would you go about getting your sample for ...
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Mediation analysis with covariates SAS

I am conducting a mediation analysis to analyze the effects on moral reasoning towards AVs. I already detected a suitable mediator and do now want to examine the effect of possible covariates (age, ...
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Statistical analysis single group without controls

I will be working on scientific research where I am looking at the outcomes of a single group of cases. Unfortunately we don't have any comparable cases where the same level of detail is available and ...
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Why is the Wilcox test not significant for this data?

The 2 data.frame count values look quite significantly different to me, so I'm wondering why the output of the Wilcox test is not "significant." Here is ...
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How are R-square and mean absolute error related? Which is more important for evaluating performance?

I have some data which is divided into training and test. I ran regression using training data and got an R-square value of 0.8, and a mean square error of 10 using the original and predicted values ...
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Does a higher score on 2 social behavior questionnaires, relatively often precede a lower score on a complaints questionnaire, using 3 time points

I would like to link a quantitative outcome measure/dependent variable (score on a questionnaire) to the scores on two questionnaires measuring the same construct (quantitative independent variable, ...
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Which analysis for whether more likely to give response matching stimuli than not?

This is probably incredibly basic but I'm a bit lost. What analysis would you suggest to identify whether participants are more likely to make a choice (out of 4 categories) which matches the ...
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What is the best statistical test to compare the competitiveness of 10 football/soccer leagues within a time range?

I was wondering what stat test is the best to find out which football/soccer league is the most competitive. The leagues that I would choose for this analysis are either based on the countries that ...
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What is the result of $\frac{\partial^2 \ell(\beta)}{\partial \beta \partial \beta^T}$?

For logistic regression model, the log-likelihood function can be written as $$\ell(\beta)=\sum_{i=1}^N(y_i\beta^Tx_i-\log(1+e^{\beta^Tx_i}))$$ This is a $(p+1)$ nonlinear equations in $\beta$. To ...
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Compositional data using R and difference between groups?

could you please help me in my research. I have a problem that can summarize: Is there a difference between stores in terms of the share of sales percentage in the 4th quarter. ...
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How would you approach this odd pre/post research design?

I have obtained two datasets. The pre where users were designated by a unique ID were asked to state what sources they used to make their decisions. Their decisions involve making a binary choice of ...
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How to compare time series with different time stamps

My data consists of several time series of the form $A_i = [ (t^i_0,x^i_0), (t^i_1, x^i_1), \ldots, (t^i_{n_i}, x^i_{n_i})]$ for $i \in \{1, 2, \ldots 20 \}$ $B_j = [ (t^j_0,x^j_0), (t^j_1, x^j_1), \...
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Analyzing relationships in 5 time series (cointegration)

I don't have a dependent variable in this case. 5 time series correspond to 5 different sections of the same company. I want to analyze the relationships between the sections based on these 5 time ...
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Quantifying Similarity of Survey Responses

I have 6 survey responses with Likert scale questions and some basic demographic information. The 6 responses are pulled from the same group. They all met my selection criteria (School principals ...
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