Missing Data and Multiple Imputation Decision Tree

Woods, Adrienne D.; Davis‐Kean, Pamela E.; Halvorson, Max A.; King, Kevin M.; Logan, Jessica A. R.; Xu, Menglin; Bainter, Sierra A.; Brown, D. H.; Clay, James M.; Cruz, Rick A.; Elsherif, Mahmoud Medhat; Gerasimova, Daria; Joyal‐Desmarais, Keven; Moreau, David; Nissen, Jayson; Schmidt, Kathleen; Uzdavines, Alex; Dusen, Ben Van; Vasilev, Martin R.

doi:10.31234/osf.io/mdw5r

Cited by 20 publications

(23 citation statements)

References 32 publications

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“…We proceeded with multiple imputation. The Mplus imputation command was used to impute data for the independent variables with missing data with the exception of documentation status and gender as these are personal characteristics (Woods et al, 2021). It is also possible that students did not want to disclose if they held a liminal status.…”

Section: Discussionmentioning

confidence: 99%

Mental health help-seeking among Latina/o/x undocumented college students.

Ayón¹,

Ellis²,

Hagan³

et al. 2024

Cultural Diversity & Ethnic Minority Psychology

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Objectives: Informed by a social-ecological framework, this study nested undocumented students' individual mental health needs within micro-level campus factors and the macro-level immigration policy context to examine how these are associated with undocumented Latina/o/x college students' use of on-campus mental health services. Method: A large-scale survey was administered to 1,277 undocumented college students attending 4-year public universities in California. Only Latina/o/x respondents were included in this study (N = 1,181). Fifty percent of students attended a UC system (n = 589). On average, students were 21.84 years old (SE = .15), and most were women (75.3%, n = 890). Results: Greater level of mental health symptoms and perceived mental health need, and greater use of campus-wide resources and undocumented student services predicted greater likelihood of using on-campus mental health services. Greater perceptions of social exclusion due to the immigration policy context predicted lower use of mental health services. Conclusions: Results indicate that a greater use of resources and an inclusive campus environment, as well as efforts to minimize policy-related feelings of social exclusion, may facilitate undocumented students' professional mental health help-seeking. These findings emphasize the need to take multiple and multi-level ecological factors into account when considering mental health service use, particularly in the case of undocumented immigrants and likely other structurally marginalized groups. Public Significance StatementUndocumented college students face unique challenges due to their immigration status that not only compromise their mental health but also limit with their capacity to seek help from mental health professionals. This study nested undocumented students' individual mental health within campus and immigration policy contexts to examine how these are associated with students' use of on-campus mental health services. Findings show that greater perceptions of social exclusion deter undocumented students from seeking mental health services, whereas using more general campus-wide resources and undocumented student services increased the likelihood that they would seek services. Anxiety and depression symptoms as well as perceptions of mental health need were also strongly associated with mental health service use.

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Section: Discussionmentioning

confidence: 99%

Mental health help-seeking among Latina/o/x undocumented college students.

Ayón¹,

Ellis²,

Hagan³

et al. 2024

Cultural Diversity & Ethnic Minority Psychology

View full text Add to dashboard Cite

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“…"); (5) added complexity in the data analysis process; and (6) lack of guidelines that streamline the process by which missingness can and should be best handled. The latter is a key gap recently addressed by the decision tree associated with this manuscript (Woods et al, 2021) (see Table 1 for common misconceptions about multiple imputations).…”

Section: The Case For Multiple Imputation Over Alternative Methodsmentioning

confidence: 99%

“…Therefore, preregistering missing data decisions is ideal. We provide more information, including links to templates, in Woods et al (2021) at https://psyarxiv.com/mdw5r/.…”

Section: Optional But Recommended: Preregistration Of Missing Data Decisionsmentioning

confidence: 99%

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Best Practices for Addressing Missing Data through Multiple Imputation

Woods¹,

Davis‐Kean²,

Halvorson³

et al. 2021

Preprint

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A common challenge in developmental research is the amount of incomplete and missing data that occurs from respondents failing to complete tasks or questionnaires, as well as from disengaging from the study (i.e., attrition). This missingness can lead to biases in parameter estimates and, hence, in the interpretation of findings. These biases can be addressed through statistical techniques that adjust for missing data, such as multiple imputation. Although this technique is highly effective, it has not been widely adopted by developmental scientists given barriers such as lack of training or misconceptions about imputation methods and instead utilizing default methods within software like listwise deletion. This manuscript is intended to provide practical guidelines for developmental researchers to follow when examining their data for missingness, making decisions about how to handle that missingness, and reporting the extent of missing data biases and specific multiple imputation procedures in publications.

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“…The six participants did not differ in demographics and individual standardised test results (all Fs < 1) from the main group and their data were excluded from all further analyses. Following the advice of Woods et al (2021Woods et al ( , 2022, the rate of missingness for gender was 7% but was missing at random. model, the effect did not influence the interaction of orthographic precision, NHD, prime lexicality and relatedness.…”

mentioning

confidence: 99%

Orthographic precision for word naming in skilled readers

Elsherif

Frisson

Wheeldon

2022

Language, Cognition and Neuroscience

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Perfetti (2007) proposed that the quality of lexical representations affects reading. We investigated the role of lexical quality in decoding. Eighty-four adults read aloud words and pseudowords with dense and sparse neighbourhoods in a masked form-priming experiment. Individual-difference measures of language and cognitive processes were collected and entered into a principal component analysis (PCA). Compared to a non-overlapping control prime, we observed greater facilitatory formpriming for word targets with sparse neighbourhoods than those with dense neighbourhoods. A PCA component related to orthographic precision affected form-priming: people with low orthographic precision showed greater facilitation for words with sparse neighbourhoods, primed by pseudowords, than those with dense neighbourhoods. People with high orthographic precision demonstrated the converse, only when primed by words. For pseudoword reading, word primes facilitated more than pseudoword primes in people with low orthographic precision. People with high orthographic precision showed the opposite pattern.

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Missing Data and Multiple Imputation Decision Tree

Cited by 20 publications

References 32 publications

Mental health help-seeking among Latina/o/x undocumented college students.

Mental health help-seeking among Latina/o/x undocumented college students.

Best Practices for Addressing Missing Data through Multiple Imputation

Orthographic precision for word naming in skilled readers

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