So if we find these problems in...

Regression assumptions]]>

I'm trying to run a generalized linear mixed model and there are issues generating output. When I try to run any GENLINMIXED on a specific dataset, whether it be with syntax like I included below or using the menu, no error message pops up, but my output simply displays the syntax again. I was wondering if anyone has encountered this issue before and, if so, how you went about this. Thanks so much for your help and time.

Best,

George

GENLINMIXED

/DATA_STRUCTURE SUBJECTS=ID...

GENLINMIXED not producing output]]>

I now plan to run a regression analysis of forest cover (dependent) against temperature (independent) to try to see how much temperature explains cover change. However, I'm confused about...

De-trending before regression analysis]]>

I've done several linear regression.

Now I would like to test if my residuals are normally distributed.

That is how my Q-Q Plots look like:

But I'm not sure what to make of the Q-Q Plots. Most of them are pretty much on the line, except for the beginning and ending.

What do you think?]]>

I am currently preparing my research for ethics submission but trying to establish an accurate sample size using G*Power.

Apologies in advance if I do not explain this accurately and will try to simplify it as much as possible.

I have three groups that will be determined based on test scores. Let's say G1, G2, and G3.

In the experiment I am going to be comparing each group on several different measures (6 and 1 confounding variable).

Will this require a MANOVA?

As one of...

Multivariate Analysis of Variance]]>

I need help with the SPSS syntax.

I want to change the measurement level of each variable from NOMINAL to SCALE. If I take out the IF block and write out the command one at a time (so set each variable to Nominal afterwards), it works. But I would like to have it in the DO REPEAT block.

1. How would I have to change this so that the command works?

Code:

```
DO REPEAT #i = Variabel1 to Variabel100.
IF (#i = Variabel1 OR #i = Variabel4 OR #i = Variabel10 OR #i = Variabel13 OR #i...
```

Can you use finite population corrector in getting the sample size of an analytic study?]]>

I am gonna model multiple linear regression. Do you think that normality of residuals assumption is met according to the P-P plot?

Also, consider the homoscadasticity assumption according to the scatter please.

I am writing my Bsc. thesis, what should I do if these two assumptions are not met?

Sincerely ]]>

I am conducting a study and I am struggling finding an appropriate test for my hypothesis.

Here is the setting:

I have two independent measures. A is a categorical variable (e.g. gender) and B is an interval variable (e.g., SAT-score). My dependent variable C is ordinal.

First I expect to find that gender has an influence on C. Second I expect that B has an influence on C. And third I expect that the influence of A on C is stronger the higher B is.

Can someone help me find an...

Interaction-Test]]>

Var(y)=Ex[var(y/x)]+varx[E(y/x)]

In next step I want to prove the title-mentioned formula using Taylor series expansion.]]>

Jay believes that the Democrat will be elected in a presidential election with probability 5/8. Mike believes the Republican will be elected with probability 3/4. Neither gives third party candidates any chance at all. They agree to bet $10 on the outcome at even odds. (Thus Jay will pay Mike $10 if the Republican wins, and he will pay him $10 if the Democrat wins.)

What is Jay’s and Mike's expected dollar gain?

How would you be...

Probability Problem]]>

I'd like to calculate the pooled standard error of mean for a trial in a factorial arrangement but I don't know how to do that.

How should I calculate the Pooled SEM for the main effects and for the interaction effects?

For example:

A factorial arrangement between

Country Age Response

A 30 105

A 30 89

A 30 106

B 60 90

B 60...

Calculating Pooled SEM]]>

I am conducting a binary logistic regression with dependent variable Conversion (0 = No, 1 = Yes) and three independent variables; Group (Control vs Experimental), Customer Type (New vs Existing Customer) and Culture (UK and US). As you can tell, all variables included are dichotomous binary variables. I am looking to test moderating effect of culture on...

SPSS: Testing moderating effect in binary logistic regression]]>

https://www.sealedenvelope.com/power/continuous-superiority/

https://www.stat.ubc.ca/~rollin/stats/ssize/n1.html

I am guessing the explanation is banale - the second calculation is for one sample compared...

Factor 2 difference between online sample size calculations - what am I or someone soon to be sorry missing?]]>

I am conducting a binary logistic regression with dependent variable Conversion (0 = No, 1 = Yes) and three independent variables; Group (Control vs Experimental), Customer Type (New vs Existing Customer) and Culture (UK and US). As you can tell, all variables included are dichotomous binary variables. I am looking to test moderating effect of culture on...

Moderating Effect (Interaction) in Binary Logistic Regression]]>

I'm doing empirical research for the first time and have the following setup:

- 1 dichotomous DV (purchase referral)
- 2 dichotomous IVs: Purchase type (good vs. service), Customization (standard vs. customized)

Interpretation of logistic regression results]]>

I need to run a regression on a proportional DV in SPSS. It would seem I need to run a GLM, but I have no idea what model to use for my proportional DV in SPSS. I was wondering if anyone had any idea?

Thank you!

Tobias]]>

I have two independent measures of my dependent variable. I hypothesized that one of the two is better in prediction the dependent variable. Let’s imagine that I would have measured the height of a bottle with (a) a ruler and (b) just my hand span. I want to be able to say that a predicts the height of a bottle better than b. Does anyone know how I can compare the two predictions? Can you recommend any papers on that topic? I know that I could compare correlation coefficients but I...

Compare regression coefficients]]>

The original post was from a new member Yser but I have the same concern, does anybody can help with a though ?

I am dealing with unbalanced designs (I am comparing groups with different sample sizes) in PERMANOVA (Permutational Multivariate Analysis of...

Unbalanced designs in PERMANOVA and Resampling Methods]]>

Comparing group means with drastically different sample sizes]]>

He stresses the use of robust methods in dealing with outliers. My question is how many and how serious do the outliers have to be to change your method. I think most data, mine has thousands of points, will have some serious outliers. There are many ways to define and detect outliers - but I remain unclear when you should be concerned about them to do things like transformations, robust regression, changing the...

regression issues]]>

for example with n=4: ranks 1, 2, 3, 4 you could get group1 has 1 + 2 = 3, or 2 + 3 = 5...

Obviously there will be (n chose n1) distinct ranks, but some of the sums will be redundant. For example 1 + 4 = 2 + 3. How to determine the number of combinations contributing to each of the possible sums?]]>

I am trying to determine which is the correct test to use for my research.

Briefly, I am carrying out forensic research where I am measuring the quantity of DNA in different locations in peoples vehicles, I selected the same 5 locations around the driver area of 20 different vehicles. (steering wheel, door handle, indicator/wiper, handbrake/gear stick & central console). I carried out a 1 way ANOVA to compare the different groups of areas with each other and found no statistical...

Nested/Hierarchical ANOVA]]>

I'm an engineering student and encountered a problem to which I did not find a solution yet, and wondered if someone could give me the benefit of their expert opinion.

I'm going to perform an experiment in which I'll cook an egg using standing electromagnetic waves, only for a short period of time. This way there are only some regions that are cooked (regions A,B,C and D). The goal is to measure the distance between these regions as accurately as possible and tell something about the...

Best way to say something about the accuracy of a measurement]]>

I have a complete data set for individual ungrouped elements, each element reaching a terminal state value ranging anywhere from 0 to 1. These are shown in attached "TerminalStatesByElements...". Mean terminal state...

How to optimally group data for analysis of percentiles and conditional tail expectation?]]>

]]>

I have come across this in a book and I have a question about how to recreate this. When trying to calculate the residuals in a autoregression model, where do these constants (A,B) come from?

Thank you

Matt]]>

Would someone please help me and assist or just do the required stats needed to find the answer?

Each box has a guaranteed number of guaranteed cards in each box. So if one obtained the total number of cards in each box, in this case 600, which is distributed into packs each giving 3 cards. with a total of 200 packs. There are some rules associated with what...

Duel Links Card Pull Probability]]>

Help with analysis of 2 x 2 crossover study]]>

Using the example from the ordinal package clm() vignette from the wine data:

Although nominal effects weren't really necessary for the contact variable here, I'm using it for a simple reproducible example.

Because z values are provided in...

Ordinal Package Help! Nominal Effects & Variables]]>

I am performing a repeated-measures ANCOVA in SPSS with following characteristics:

- Dependent variable: weight loss (with three points in time)
- Independent variable: conscientiousness
- Covariates: gender, age, depression

- Which assumptions do I need to check and how to handle violations?
- In the measurement of the...

Repeated-measures ANCOVA - Handle assumptions and missing data (SPSS)]]>

Code:

```
COMPUTE inclOndrzGeweig=1.
IF (MISSING(geslacht | Leeftijd | RSES1_T0 | RSES2_T0 | RSES3_T0 | RSES4_T0 | RSES5_T0 | RSES6_T0 | RSES7_T0 | RSES8_T0 | RSES9_T0 | RSES10_T0 | gewichtobj | gewichtobj_t1 | gewichtobj_t2)) inclOndrzGewEig=0.
```

Multivariate logistic regression?]]>

First post on here, but would really appreciate any help anyone can give as I am stumped on the below question:

Four such ropes are randomly selected and joined end-to-end to form a single rope; the strenth of the combined rope is equal to the strength of the weakest of the 4 selected ropes. Derive...

Combining normal variables homework question]]>

I need to do a power analysis in G*power for my study. My research is part of a larger study for which the data is already collected, so my sample size is predetermined for me. I don't have access to the actual data yet. (note: I will be looking at a patient group and a control group over 3 different time points. The patient group have already completed treatment prior to the first time point and so there is no interventions during the study, it is just observational of each group's...

Post hoc power analysis]]>

I have data on employee exit status. This data is for employees’ status (still employed/exited) for all the employees that have been employed or exited so far in an organisation, so it is a population data. I am analysing the data and looking for the correlation of the employees’ status and other variables such as start year, department, education level, etc. In this analysis I will be controlling for race.

My question is, since this is a population data I don’t see the need...

Using racial distribution for a population data as a reference]]>

I am investigating if the comovement of the green bond market and other markets has changed pre covid-19 and during Covid-19. The plan is to use ARCH/GARCH on the logged returns of the respective marekts to attain their volatility over time. Then I will use dynamic condidional correlation on the vector of volatility to attain the comovement over time.

To the problem :

When running the the Augmented Dickey-Fuller (ADF) tests, the p-value is 0.000 for all respective markets...

Augmented Dickey-Fuller test null rejected. AR(1) in ARCH(1) p-value of 0.000]]>

What is the best and correct way to present it statistically? T-score?]]>

I will start by saying that I am novice in Bayesian statistics, so I am really sorry if I mixed up some notion. I’m currently doing a research on the effect of heat on some bone microstructure. I want to test if there is any difference on the size of structure when exposed to heat. I have 45 bone, and each of these 45 bones has N=120 non-heated microstructure and N=120 heated microstructure, approximately. I wanted to do a Bayesian Mann-Whitney U test (in JASP) for non-heated...

Correction for multiple bayesian test (a lot of...)]]>