I am involved in the writing of a thesis, where two raters are running a test-retest study to test the intra- and inter-rater reliability of a clinical test. Here the Standard Error of Measurement (SEM) needs to be reported, and the following formula should be used: SEM=SD x √(1-ICC). I have read similar research papers, but I see that they have used different SDs. In SPSS (ICC analysis) the section "Item statistics" provides the SD for both rater 1 and rater 2, and one under "Scale...

Calculating SEM in test-retest study (ICC)]]>

In some cases this excluded group is very small, maybe 12 out of 16 thousand cases. Other times it is not. The point is I want to compare...

Comparing to excluded group]]>

I am working on fish length-weight relationship: log W = log

This is what I got using...

bayesian fish length-weight relationship]]>

I've a question which regression model to use? I've the following model:

Taxavoid= PC + Before/after + PC * Befor/after

tax avoid = continious

where PC is ratio variable of political party/ i coudl have used 1 or 0 (REPvsDEM) but, I use ratio, more info. PC= REP / (DEM+REP) so ratio on republican contribution.

Before/after =eventdate 1 is after 31.12.2017, before 0.

my range of financial data I use of the companies is 2015-2019.

My res question is if there is more tax avoid after...

FE, RE, OLS Cluster?]]>

I want to conduct a study in which 15 raters will rate 100 photo's of cutaneous nevi. These 15 raters are divided into three groups of five people based on their level of training and expertise. To evaluate the level of agreement between the raters within each group, I will use the kappa statistics as described by Fleiss. Now comes the hard part for me. How do I compare the level of agreement between the three groups? I'm having a hard time finding out which statistical test I...

how compare the kappa of different groups?]]>

Should I use repeated measures ANOVA or one-way ANOVA?]]>

I'm really confused with how to run my logistic regression model (I have a dichotomous dependent and 8 nominal cat/continuous independent variables), I also have 3 separate random variables which I want to include in the model. I've looked at mixed model analysis but it's not a multilevel model, I've also been looking at syntax for how to add my random effects. This there a way to run the regression below whilst including some random effects.

This is my current syntax:

LOGISTIC...

Running Logistic Regression with Random Effects in SPSS (not Multilevel)]]>

I have a question about William's method (comparison of correlation coefficients). I am running it in R with the 'psych' package. I can confidently compare correlation coefficients with each other and that is really cool for a baby R user like me.

I read the initial paper by Williams, and I vaguely understood the math, but he refers to regression coefficients and not correlation coefficients. In psych literature, however, I have come...

Question on William's method (Steiger Test)]]>

I have calculated RMSD for two different simulation to decide how large the error/standard deviation is.

How can I decide if the RMSD-value is small enough to show that there is no significant difference between the simulations?

thanks]]>

The data is divided into a number of different lots of categories that i want to test for statistically significant difference between

for exanoke one lot is after hours or normal hour presentations

another group is reason for presentation - there is about 5 say runny nose, cough, chest pain, injury, depression

How do I work out minimum sample size AND

whcih test should i use

i thought originally chi...

sample size and best test to use nominal categorical data]]>

I want to run a simple Cross-lagged panel model on SPSS AMOS. My data only consists of 2 variables and 2 measurement time points.

Unfortunately I can´t find any tutorial on youtube how to run cross-lagged panel analysis with AMOS.

Does anybody know a tutorial or step-to-step guide about how to run simple cross-lagged panel analysis with AMOS?

Thanks in advance!]]>

I got Data from an Experiment with four Conditions of different Treatment and I want to know if the HRV improved significantly over the course of the therapy.

In all the examples I saw before, the Variable Time & Time_numeric always resembled the same timepoints for all participants.

In my Experiment it was not possible to keep the interval between the sessions identical, due to different workschedules of the participants, so I'm asking...

Questions about a Growth Model Calculation I want to perform]]>

My spouse and I received a second dose of the pfizer vaccine on Jan 14 and traveled to the USA on Jan 17. Our four children did not receive the vaccine, and no one in the family has any indication of having covid previously. Due to covid restrictions, we were unable to return home (outside of USA) until Feb 23. On Feb 15, my wife and I...

Real life probability riddle]]>

I recently posted this question in another website, reposting it here in case I get any answers. I'm relatively new to this, so maybe I don't include all the information necessary in order to solve this, or I should post it in another forum - please let me know in that case.

Our problem is the following:

We are trying to run an exploratory factorial analysis (EFA) using fa function from...

Warning "The estimated weights for the factor scores are probably incorrect" in fa function (psych)]]>

Question

Is their sufficient evidence to indicate a difference in mean serum uric acid levels between normal individuals and individuals with Downs's syndrome. the data consist of serum uric acid readings on 12 individuals with Down's syndrome and 15 normal individuals. The means are x̄1 is 4.5 mg/100 ml and x̄2...

Calculating the difference between two population means]]>

Could anyone explain how I create such clustered bar graphs in SPSS? I want the clusters divided by interactions and I want to show the mean (+errorbars) of each of the three variables (advice-only, dialog history, empathy). Probably I need to put the interactions on the y-axis (?!) but what do I do then?

I was also wondering if I perhaps need to create a new variable to summarize waterintake1, waterintake2, waterintake3 but I don't know how to design this new variable.

The attached...

Clustered bar graphs]]>

CLASS '2FL'n '10FL'n / PARAM=REFERENCE REF=Last;

So if you have 0 and 1 is 0 last or 1.

It appears that this only allows last or first. You can not set ref=1 or 0. I am not sure what ordered last or first means.]]>

I am puzzled by something we have observed, and was hoping someone might have some suggestions as to how to proceed.

In our dataset, the probability of the zero...

Bias in Zero-One Inflated Beta Regression?]]>

I have a set of population with multiple risk factors:

- Every population member can have a combination of 30 different risk factors.

- Every risk factor can have a score from 0 to 10 depending on population members' characteristic.

- So for example,

-Member-1 can have 4 risk factors with risk scores as (8,3,6,4),

- Member-2 can have only 2 risk factors with risk scores (9,10),

- Member-3 can have 6 risk factors with risk scores as (4,3,3,4,3,4)

Question...

Relative risk score depending on amount of inherent risks and size of each inherent risk]]>

]]>

In doing regression analysis, I am sometimes confused with whether I should use a continuous predictor variable (e.g., age in years) or re-group it into a categorical variable (e.g., 5 age groups: 18 to 24, 25 to 34, 35 to 44, 45 to 54, and 55+). What is the best way to decide?

Any comments or references are welcome. Many thanks.

James]]>

I am running a LMM (using the lmer4 package) with the following structure: lmer(Response~F1+F2+F3+(1|R1)+(1|R1:T2)+(1|R2))

For my research question I would like to quantify how much of the overall variance is explained by each indvidual fixed and each random effect. In other words I would like to be able to say something like: xy% of the overall variance are explained by the fixed effect F1, yz% of the overall model variance are explained be the interaction of the random effects R1...

Obtaining the individual, relative variance contributions of fixed and radnom effects of an LMM in R]]>

I have simulated the velocity in an object using fluid dynamics in transiet mode using different mesh-sizes. When the mesh-size is increased the accuracy of the simulation will increase. However, to a point there will be mesh independency, but the simulation variables (e.g. velocity of flow) will of course still vary across the different mesh-sizes but the difference in the variables will decrease with increasing mesh-size. I want to figure out which of the mesh-size will be...

the use of RMSD and NRMSD]]>

I have a database with measurements at t = 1 (baseline) and t = 2 (after treatment), and I want to assess whether the treatment causes a difference in the measurement. See the attached jpeg.file for a simplified hypothetical example: 15 participants, 5 are 80 years old, 5 are 60 years old, and 5 are 40 years old. They have scores on measurement 1 and 2; a paired t-test should be the best option (assuming normally distributed data, which is the case in the original database I am...

SPSS ANOVA / Multiple Testing]]>

I'm looking for the right statistical test for comparing some results I got after repeating a task with 3 different set ups.

The measuraments are based on kinematics, so I have an array of x,y,z of my ideal trajectory (green line) and arrays of x,y,z of the real trajectory (purple line) for each set up.

Something like that:

The goal is to compare the same task done by different users with the 3 different set ups in order to chose the one that guarantees...

right statistical test]]>

Use Chi Square Tables]]>

Both surveys have 10 questions.

The first survey has 25 responses and the second survey has 6 responses.

There is only 1 group for each survey.]]>

I want to compare a variable across these 3 independent groups, and since its distribution is not normal, I run a non-parametric test. The test tells me to reject the null hypothesis (p=.000). The mean rank for each group is as follow: Gr1= 70.68; Gr2= 84.76; Gr3= 52.31

From the pairwise comparison, looking at the adjusted significance values, I see that Group 2 and 3 are significantly different...

Kruskal-Wallis output problem]]>

I have a lot of problems dealing with outliers/choosing the model.

setting:

dependent variable:

- already transformed portfolio variable

- a lot of observation with the value = zero plus a lot of outliers on the upper end as usal with wealth data (want to have the ownership decision =zero in my analysis)

independent variables:

- risk

- wealth in general (also transformed)

regression:

-polinominal regression because the linktest failed with linear regression (passed...

Outliers/choosing the right model]]>

Round up to a whole number.

2. Suppose that 14% of a population carries antibodies to a virus. For a research project, you need 10 people with antibodies to the virus. How many people must you test to be 95% certain of getting at least 10 people with the...

Looking for different methods to solve these...]]>

Multiplicative Change]]>

I have recently graduated and now started working for an institution that provides training courses. I have a task where I have to conduct chi square test on two groups of participants who have received a course on communication. and I want to know if this course was effective or not. So I made 2 groups one of those who participated in the course and one who didnt (Other customers who did not participate in this course but they were already customers of other courses) I have...

Chi square test for total score- group comparison]]>

Problem : We have collected a nice set of data but we don't know for sure how to deal with it ! (Yes... not the right way to proceed indeed, but thats the situation right now...)

Context : Our structure provides help to health professionals (physicians) for situations that they consider too complex or time consuming to take on on their own. When some time consuming tasks that doesn't need their expertise can be delegated, they call us and we take care of it under their...

Which exploratory approach for paired binary data sets, multiple items in 2 categories, patterns in one category explaining patterns in the other ?]]>

I have a basic statistics exam coming up and while studying found the instructor's notes to be a little short in one area.

In the field of linguistics, separate ANOVAs for subjects and items are fairly common to get results that are generalisable for people as well as stimuli.

However, all she wrote about it is (and that's the part I don't understand) that for the VP analysis, the mean per

ANOVA - separate for subjects and items, and how to aggregate]]>

Many thanks for any help]]>

What statistical test - i'm thinking a series of Chi-squared tests, one for each of A, B, C, D or E?

As you can see i'm at an early stage here in...

Relationships in categorical data]]>

WARNING: some permutations returned missing valuesSee detail below:

conformability error

r(503);

When trying to run follow-up permutations after a multiple meta-regression, using the metareg command ? I would be so grateful for any help or if you could point me to a resource that covers this error.

Many thanks!]]>

I have conducted both ANOVA along with Post Hoc Test on SPSS. However, I have encountered a problem on the Post Hoc Tests. In particular, between the multiple comparisons and homogeneous subsets sections. My problem is under the multiple comparisons - the category 7 is not statically significant different between category 1 and 3 as p value is equal to 1.000 (marked with orange rows). Now, under the homogeneous subsets section the category 7 is not statically significant different...

SPSS - ANOVA test and & Post Hoc]]>

Was just wondering, would an output of GLM repeated measures without a covariant (only a factor with 4 levels) be the same for the same factor, regardless of the covariant, when getting a repeated measures ANCOVA output with the same data?

I thought that the only difference whould be that of the covariant row, but it looks like the whole output has been changed, with significant change turning insignificant.

Thanks]]>

Predicted values are derived from the lower equation in the figure. Given my limited math background, I'm struggling to understand the empty set symbol. I tried plugging in the values for education level eight, which according to the...

Predicted Tobit values equation Wooldridge]]>

I understand how to use the user interface to insert multiple covariates into a meta-regression. However, I am not sure how to interpret the output and to make sure that the software has controlled for multiplicity and covariate correlation - so that I can more confidently identify which covariates might significantly explain some of the heterogeneity, and to what extent.

I have read in Harbord & Higgins's 2008 Meta-regression in Stata that different...

Multiple Meta-Regression in Stata Help]]>

Is it possible to validate an existing published checklist that has not yet been validated with the authors' permission? If so, what steps would you recommend to use go about for testing validity and reliability? We do not want to create a whole new checklist on our own.]]>

I don't know what's wrong but I've been trying to compare the means of two independent groups using the independent t test in SPSS but I fail each time I try.

This is the message I get:

Warnings

The Independent Samples table is not produced.

a. t cannot be computed because at least one of the groups is empty. Also, it says a.t cannot be computed because the standard deviation of both groups are 0

Anyone help me solve this problem?]]>

How to show in a simplify scientific way the post-hoc test of 4 variables involved, when 3 by 3 variables are significant?]]>