Melissa Wolf
@melissagwolf.bsky.social
Interested in the design, validation, and analysis of self-report assessments. PhD from UCSB. Currently working in biotech. Happy to chat about AltAC!
Bad news: did you know that you can get desirable psychometric properties (high correlations, high reliability, good model fit) with *totally* meaningless survey items?
Good news: if you use the Response Process Evaluation method, you could prevent that from happening.
osf.io/preprints/ps...
Good news: if you use the Response Process Evaluation method, you could prevent that from happening.
osf.io/preprints/ps...
OSF
osf.io
February 1, 2024 at 7:25 AM
Bad news: did you know that you can get desirable psychometric properties (high correlations, high reliability, good model fit) with *totally* meaningless survey items?
Good news: if you use the Response Process Evaluation method, you could prevent that from happening.
osf.io/preprints/ps...
Good news: if you use the Response Process Evaluation method, you could prevent that from happening.
osf.io/preprints/ps...
Reposted by Melissa Wolf
PLEASE SHARE ☺️ Do you use a physical activity tracker like a Fitbit or smartwatch? Help us finish data collection for this 2-part study by telling us about your tracking experiences, and enter to win $30 and $20 to Amazon!
October 9, 2023 at 11:54 PM
PLEASE SHARE ☺️ Do you use a physical activity tracker like a Fitbit or smartwatch? Help us finish data collection for this 2-part study by telling us about your tracking experiences, and enter to win $30 and $20 to Amazon!
When creating a psychological instrument, have you ever tested the interpretability of your survey items within the target population?
October 10, 2023 at 6:09 AM
When creating a psychological instrument, have you ever tested the interpretability of your survey items within the target population?
Reposted by Melissa Wolf
New print w/@MelissaGWolf on dynamic fit index cutoffs.
Our software can now derive customized DFI cutoffs for ANY covariance structure model (CFA, SEM, mediation, bifactor, etc.) and supports normal, non-normal, categorical, and missing data (and any estimator) 1/9
psyarxiv.com/4r9fq
Our software can now derive customized DFI cutoffs for ANY covariance structure model (CFA, SEM, mediation, bifactor, etc.) and supports normal, non-normal, categorical, and missing data (and any estimator) 1/9
psyarxiv.com/4r9fq
September 26, 2023 at 9:11 AM
New print w/@MelissaGWolf on dynamic fit index cutoffs.
Our software can now derive customized DFI cutoffs for ANY covariance structure model (CFA, SEM, mediation, bifactor, etc.) and supports normal, non-normal, categorical, and missing data (and any estimator) 1/9
psyarxiv.com/4r9fq
Our software can now derive customized DFI cutoffs for ANY covariance structure model (CFA, SEM, mediation, bifactor, etc.) and supports normal, non-normal, categorical, and missing data (and any estimator) 1/9
psyarxiv.com/4r9fq
When writing up results from a study that was pre-registered, do you reference your hypotheses from the pre-registration?
September 7, 2023 at 7:51 AM
When writing up results from a study that was pre-registered, do you reference your hypotheses from the pre-registration?
FYI, if you want to post a RMD file as a reprex on #StackOverflow or elsewhere, just put ~~~ at the beginning and end of the code. For example:
~~~
---
title: "My RMD"
---
Some text.
```{r}
library(tidyverse)
```
```{r}
head(mydat)
```
~~~
~~~
---
title: "My RMD"
---
Some text.
```{r}
library(tidyverse)
```
```{r}
head(mydat)
```
~~~
September 2, 2023 at 6:06 AM
FYI, if you want to post a RMD file as a reprex on #StackOverflow or elsewhere, just put ~~~ at the beginning and end of the code. For example:
~~~
---
title: "My RMD"
---
Some text.
```{r}
library(tidyverse)
```
```{r}
head(mydat)
```
~~~
~~~
---
title: "My RMD"
---
Some text.
```{r}
library(tidyverse)
```
```{r}
head(mydat)
```
~~~