SPSSINC SELECT VARIABLES MACRONAME="MAC"

/PROPERTIES PATTERN = "(ftj19a)" .

https://www.ibm.com/support/pages/h...d-syntax-series-tables-varying-sets-variables

This article seems to come closest to what I want to achieve, but I'm still struggling tbh.

I can pay if someone can help me.]]>

See attached:

- Test family

- Statistical test

- Type of power analyses

- Input Parameters (tails / effect size / err prob / Power)

- Linear regression 3 x

- Mediation analyses 1 x

- Moderator on the direct effect and mediation 1x

What

I have a question on how to perform the data analysis for a research project

Basically, I have two types of data from a survey:

For each section of the survey, I have firstly qualitative data (different comments) and secondly, averages from closed-ended scaled questions, which are scaled from 1 to 5. Now, I have a sentiment analysis tool that can score each comment of the qualitative data from 1 to 5 and I want to correlate the averages of that sentiment analysis per section...

Can I correlate means and if so what sample size do I need?]]>

I have different questionnaire for teachers and students with different subjects and multiple responses. How may i enter all of them in single spss sheet to check correlation between them. Please help

The study involves:

You suggested items designed to be part of a new questionnaire measure of statistical anxiety.

By virtue of content/surface validity, 20 items were selected to create this questionnaire.

Students on the L7 FDS module were then invited to take part and complete an online survey made up of three questionnaires:

• The FDS measure of statistical anxiety (our measure)

• The Statistics...

Help writing hypotheses!]]>

I'm writing my thesis and I can't figure out the following:

Two of my hypothesis is the following:

1) The effect of political preferences on vaccine readiness increases when individuals encounter less barriers in their vaccination decision making.

2) The effect of political preference on vaccine readiness increases when a person is in better health.

My professor had the following feedback on both hypothesis: "nice" – which implies I can test the hypothesis I guess...

How can I test my hypothesis with these variables?]]>

I would like to ask for help with the following question: I have the results of three different groups in a math test. The test score is actually a composite score calculated as the total sum of correctly solved problems * problems difficulty. There are 5 levels of difficulty weighed by 0.2, 0.4, 0.6, 0.8, and 1, respectively, and subjects can choose the total number of problems to solve (from 1 to 100) and the difficulty of each problem they decided to face.

What I would like...

Comparing the relative contribution of 3 factors to a composite score per group]]>

In Life

Some mock me for doing statistics

Some loathe me and statistics

Some don’t understand what statistics are

Why is it that statistics

Put a calm smile on my face?

Because of statistics I can solve the deepest mysteries

Because of statistics I will not be lonely again, playing in the data

Because of statistics I can rearrange the stars in the skies above

(by Chinese statistician Wang Jiaowei [translated],

The...

Statistics Poetry]]>

Currently, I am in the final stages of my thesis on political instability and firm innovation propensity. However, I have some trouble interpreting an interaction effect and I've been looking for an answer for a long time. Unfortunately, I have not found a convincing answer yet.

I am researching the effects of political instability (scale 0-5) on firm innovation (binary, not innovative / Innovative) using a logistic regression model. This effect is non-significant...

(SPSS- Logistic Regression) Interpretation of moderation effect with one non-significant main effect]]>

My Cox regression model doesn't validate the proportional hazards hypothesis. I think the other two assumptions are easy to verify.

I used the 'strata' function in my model [ strata(hospital) ], but the proportional hazards assumption is still not validated.

How can I do to validate this assumption.

Because if this assumtion is not verified, the model is not correct no ?

Thanks for help.]]>

I am currently working on my master thesis. We asked participants to rate initially neutral faces on 7 personality traits after a conditioning procedure in which each initially neutral picture was paired with a picture that differed in attractiveness. This way I have now per participant for each personality trait 3 scores (The scores given to faces paired with high, medium, and low attractive faces). I want to check whether the kind of personality trait influences the...

one-way repeated measures anova]]>

My participants are clinical therapists and have provided the following data:

There are 8 categories for MHCs (Anxiety, Depression, and 6 more) - they have provided a percentage of their own exposure to each for a total of a value of 100.

Self-reported intensity for each of the MHCs they are exposed to - they have rated this intensity on a 10 point scale.

Using an externally...

How to approach the statistical analysis of a quantitative observational study?]]>

I’m a 2nd year education student and we have been tasked with coming up with a research question to conduct in a classroom.

I’m completely out of my depth and have never done any research, or worked with concepts like variables, T- tests or methodology. However, I’ve put some time into the prescribed textbook and was hoping I can run this by you guys for some feedback.

I’m mostly checking that my terminology is correct in defining my control and intervention groups as well as my IV...

Instructional Videos vs Explicit Instruction]]>

I examine paperss of the effects of environmental taxes on innovation. In previous problems, there were no interpretation problems. Now I have found a paper where the output does not match the authors' interpretation, so I am quite confused.

This is the regression model:

All variables are logarithmic transformations.

Now the output table:

And this is how the author interpret the output from above...

Interpretation of an output of Random effect and panel GMM model]]>

I'm struggling with analysing a data set that is predominantly qualitative, categorical data. My data is basically organised as follows: the presence of three different mosquito species (yes/no or 1/0), and which season, year, month, locality, collection method and sex are associated with each entry. I don't know if that makes sense. I've attached some sample data below that will hopefully clarify. I have tried making some of the data continuous by converting to count data...

Problem with qualitative, categorical data analysis]]>

I want to know if there is a statistical difference between the 2 sets of data. Red and black are cateegorical variables which are unknown if they affect y. Time is known to affect y.]]>

I have 3 set-ups: A, B, and C

I want to measure 2 variables in all of them (pH and alcoholic content) over time

I want to know if the pH level or alcoholic content in A is significantly higher or lower than the one in B or C based on their time trends.

I don't want to look for an equation or anything. I just want to know if those parameters are generally higher when all time periods are considered.

pH is also not related to alcoholic content in any way.

I hope you...

Which statistical treatment to use?]]>

Internal Consistency is an important topic for implicit measures. Thus and in an effort to keep it comparable to the original study we want to calculate the measure as reported by Karpinski et al. (2006), namely:

Spearman-Brown (Prophecy) Formula - Internal Consistency in SC-IAT]]>

In his results, he made model 1 to model 6 to prove that ( the attached photo) with multiple regression analysis on SPSS. He mentioned “Table IV summarizes the multiple regression analysis results” ( showed on the picture below)

However, as we all know that we can only input 1 dependent variable in linear regression on SPSS. I...

Question about conducting multiple regression on SPSS.]]>

Random variable x represents the number of girls in a family of four children.

1) Construct a table describing the probability distribution, then find the mean and standard deviation. (Hint: List the different possible outcomes.)

2) Is it unusual for a family of four children to consist of four girls?

I will be incredibly grateful for your help with the decision.]]>

I need to compare the test scores between males and females. but, before that, I need to check for normality of the data. Now, Should I check for normality separately for males and females? or together? Also, Should I select only the corrects answers while checking for normality? For example, in my excel, subject no. 1 has given correct answer for 1st question and wrong answer for 2nd question. Should I filter the correct answers and then check for normality since only...

How do I check for normality?]]>

Code:

```
diff_1 = rnorm(250, 30, 5)
Density = diff_1
p <- mcmc_areas(
data.frame(Density),
prob = 0.95, # 80% intervals
prob_outer = 0.999, # 99%
point_est = "median")
library(ggplot2)
p <- p + labs (title = ' ',
x = 'Post-Intervention Proportion - Pre-Intervention Proportion',
y = ' ') +...
```

- Nike has 1.000.000 followers.
- 2000 random followers of Nike are selected and the posts created during the last 365 days by these profiles are obtained. The posts of these 2000 Instagram followers form the "
**company follower profile**" of Nike. - Company follower profiles are created for 50 different companies. The posts contained in the company...

Which text similarity algorithm should I use to compare the context of Instagram hashtags?]]>

Difference between the result of linear regression analysis and that of Hayes's method]]>

In a mixed ANOVA (2 timepoints, 3 interventiongroups, so 2x3 factorial ANOVA), the homogeneity of the residual variance was violated as indicated by significant Levene test, for the post-intervention measurement timepoint (T2)

As far as I understand it, this prohibits any further analysis for the output of the ANOVA. Thus, we did perform a box-cox-transformation on the data from measurement timepoint T2 (following...

Mixed ANOVA - Can We Standardize After Box-Cox Transformed Values]]>

IV: model race, model gender, model instrument, participant race, and participant gender (all have 2 levels)

DV: rating

What would be the best multivariate statistical test for such a study? Thanks!]]>

Quick question. Participants of mine had to fill in likert scale questions of three sections: attitudes towards French English and Romanian. I have collected the median of each participant (so every participant has a number between 1 and 6). I want to find out if there is a correlation between background variables such as age and time spent abroad. The medians are continuous data and the background variables ordinal.

What test do I use? Kruskal-Wallis or Spearman (i have an...

Anova or correlation test?]]>

Excuse me for this silly questionhow do I get a colour gradient like the one attached. Colours are a bit limited

Any specific code for the reference line and pseudo confidence lines. I use "lty", but this do both

Here is my argument

dat <- escalc("MD", m1i=Mean_TAP, sd1i= SD_TAP, n1i= N_TAP, m2i=Mean_caudal, sd2i= SD_caudal, n2i= N_caudal, slab=Study, data= Duration_of_analgesia)

res <- rma(yi, vi, data=dat, measure="MD", method="DL")

funnel(res, main="Duration of analegsia", back =...

Help for funnel plot]]>

but i don have the wished result because it shows that the independence table is not produced

the t test can not be produced because one of the groups is empty.

i have tried everything all variables are numeric and nominal

i deactivate unicode, i rewrite all the variables at the data view of spss one by one (1,2,3,4,5)

but still nothing. any ideas?]]>

Code:

```
dat <- data.frame(ind=c(1,1,1,2,2,2,3,3,3,4,4,4), day1=c(90,113,122,86,84,95,114,126,123,115,92,103), day2=c(141,123,134,112,112,115,92,100,121,133,124,89), time=rep(c("morning","afternoon","evening"),times=4))
ind day1 day2 time
1 90 141 morning
1 113 123 afternoon
1 122 134 evening
2 86 112 morning
2 84 112 afternoon...
```

So I am having this problem where I have a population of people that participated in a national examination process (N=20,500). The examination required each student to take 4 different tests A, B, C and D and then they would be graded on a scale of [0-20] for each test and an average of the four would form the final grade on a scale of 0 to 20. When the examination process was completed the competent autority uploaded the statistics showing what...

Exam Problem: calculating the overall distribution based on individual parts' distributions?]]>

I am trying to combine two variables into a new variable using DO IF ELSE IF

I keep getting an error code - what am I doing wrong!

I added new_var to my variable list first set it to Numeric

This is my code

do if Var_1 = 1 & Var_2 = 0.

Compute new_var =1.

ELSE if Var_1 = 2

Compute new_var=0.

end if.

Apologises for such a basic question]]>

I have been working on producing an excel spreadsheet to automatically calculate probability values for multiple independent events occurring.

Hopefully I find assistance in confirmation that the results acquired are correct - or at least on the right lines.

I do not come from a statistics background, so apologies in advance for any errors.

The spreadsheet can calculate the probability that either 2 or 3 events occur, from a total of up to 10 events. The calculations include...

Calculating Probability of Multiple Independent Events]]>

I would like to get your opinion what test to use in the following two scenarion

1. I have 100 patients in total and I want to groups (50 men and 50 women) that have done different frequency of imaging (x-ray) and would like to see if there is any difference between gender and the number/frequency of x ray.

All patients have done imaging, some only 1 xray other perhaps 5 xray.

So what I have is a table with 100 rows and two columns

Patient. Number of x ray...

Basic stat question]]>

How do I do that? Help is greatly appreciated.]]>

I'm learning to interpret mediation analysis, but I'm not really getting it. I have the following "problem":

Mediation 1: Since the direct effect between x1 and y is not significant, but the paths through M are, can I conclude that this is a full mediation?

Mediation 2: I don't understand this one at all.. how can the path between m and y be significant when the other 2 aren't?

Mediation 3: Can i conclude that M isn't a mediator since the indirect effect of X is nog significant?

I...

interpretation mediation]]>

In the context of regression, in what situations am I allowed to group separate variables into a single categorical predictor? I'll use R code as an example since it's what I'm most familiar with.

For example I could run a model like this:

Code:

```
dat <- data.frame(ind=c(1,2,3,4,5,6), y=c(40,63,23,66,74,45), day1=c(4,6,3,6,1,3), day2=c(6,4,7,9,8,9))
dat
ind y day1 day2
1 1 40 4 6
2 2 63 6 4
3 3 23 3 7
4 4 66 6 9
5 5 74 1 8
6 6 45 3 9...
```

https://tinyurl.com/CorrelatedDatasetGenerator]]>

So, this is the way i see it:

When we have a negative correlation, we have data showing that a

So, a negative correlation involves data about

How is this relationship between variables called?]]>

I am wondering how these two variables don't come up as negatively correlated when using correlation matrix in jamovi.

These variables are scores for two different likert 1-to-5 scales.

For me, by eyeballing the individual data points of the two scales, it seems that they are clearely negatively correlated.

Should't these be significantly negatively correlated?]]>

So basically what we are asked to do is:

Marc has 1$ and plays a game in which he has 1/3 chance to gain 3 times the previous amount and 2/3 chance to divide it in 3 every round. At the end of round, he keeps the money and plays with it again. The first question is: compute E(X_1) and E(X_2) then find, by generalizing, E(X_n) where n is...

Generalizing E(X_n)]]>

I have been struggeling a lot with my statistics. My research camps with a low N size (31 respondents to my survey). Now I have to work with what I got. I want to find out how background information such as age and gender are linked with how answers were given to a 6-point Likert scale which asked whether participants agreed or disagreed with statements about the joy of certain languages.

I have checked around and came to the conclusion that for most of my background...

Which test to do when normality test and equal variances are significant?]]>

I want to know if swallowing complaints (continuous) can predict dynapenia (binary) in an follow-up cohort.

Classically, I should exclude participants with dynapenia at baseline and estimate the coefficients for follow-up, correct?

The problem is that dynapenia is a modifiable condition, which means that the presence of dynapenia at baseline will not necessarily result in dynapenia at follow-up.

Given this, would it be statistically acceptable to consider dynapenia at...

Baseline as confounding factor in logistic regression]]>

I have two dependent variables and I want to demonstrate that one is higher than the other. My number of observations (N) is equal to 9 (it is a small sample). Since my distribution is not normal, I am using the Wilcoxon signed-rank test. I would also like to calculate the effect size. However, in the literature regarding nonparametric tests, I just find the Wilcoxon effect size r, which is given by Z/sqrt(N).

Since I have a small sample, I believe I should NOT use the...

Wilcoxon signed-rank test - Effect size with small sample size]]>

Hi. This is given as the "exact" CI for a Poisson rate in many places. k is the observed number, mu is the true rate. My problem is the different df at each end. When alpha gets large and tends to 100% you would expect the limits to converge on k. They don't.

Is there a real "exact" CI for which you can put in large values of alpha and have it work?]]>

Looking for some help on how to get better funnel. I am new to R, using v 4.1

When I used this function, I got the funnel plot attached.

funnel(m.raw, xlab="Mean difference (hours)",

studlab = FALSE,

xlim = c(-4,8),

cex = 1,

bg= "black")

Others are able to get much better and colourful funnel. Is this related to the version i'm using? and how to improve it?

Thanks]]>

My problem facing now: there are multiple clustering types and methods in hierarchical clustering, and I don’t which method is suitable for my experiment.

I want to know the differences between different linkage methods (simple, group average, ward’s linkage, etc.) and also distance methods (e.g. range, standard deviations, manhattan, etc.).

My data have 614 data in total. Someone suggested that it is less 800s, which not suitable to do...

Hierarchical clustering? Ward's linkage? K-mean clustering? anova?]]>