Dustin Fife
Biographic Data
| ID | 4438487 |
|---|---|
| NAME | Dustin Fife |
| GIVEN NAMES | Dustin |
| FAMILY NAME | Fife |
| SIGNATURE | FIFE D |
| AFFILIATIONS | Rowan University |
| ORCID | 0000-0002-3368-968X |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Schizotypy and substance use as predictors of academic functioning among college students over time
The evaluation of non-specific risk indicators in improving detection of psychosis-spectrum liability
Psychosis-spectrum disorders remain a leading cause of disability for both individuals and society, with early identification and prevention efforts representing a promising avenue of research for addressing these concerns. One potential impediment to improving early risk identification is the historical focus on indicators thought to be exclusive to the psychosis-spectrum. This focus often comes at the expense of non-specific risk factors (e.g.,…
Young Mothers and Dating Violence
Purpose Young mothers are an understudied group at high risk for dating violence (DV) victimization and perpetration. Prior research has investigated depressive symptomatology as a predictor of DV in female adolescents and young women; however, minimal research focuses on young mothers, and the specific mechanisms influencing the relationship between depressive symptomatology and DV for young mothers remain elusive. Interpersonal competency is on…
Understanding the exploratory/confirmatory data analysis continuum
In light of the "replication crisis," some advocate for stricter standards and greater transparency in research methods. These efforts push toward a data analysis approach called "confirmatory data analysis" (CDA; see Wagenmakers et al., 2012). However, some (e.g., Baumeister, 2016; Goldin-Meadow, 2016) suggest that emphasizing CDA may restrict creativity and discovery. These scholars argued (sometimes inadvertently) for greater freedom to pursue…
The Eight Steps of Data Analysis
Data analysis is a risky endeavor, particularly among people who are unaware of its dangers. According to some researchers, “statistical conclusions validity” threatens all research subjected to the dark arts of statistical magic. Although traditional statistics classes may advise against certain practices (e.g., multiple comparisons, small sample sizes, violating normality), they may fail to cover others (e.g., outlier detection and violating li…
Estimating Incremental Validity Under Missing Data
A common form of missing data is caused by selection on an observed variable (e.g., Z). If the selection variable was measured and is available, the data are regarded as missing at random (MAR). Selection biases correlation, reliability, and effect size estimates when these estimates are computed on listwise deleted (LD) data sets. On the other hand, maximum likelihood (ML) estimates are generally unbiased and outperform LD in most situations, at…
Model Conditioned Data Elasticity in Path Analysis
Much research has been directed at the validity of fit indices in Path Analysis and Structural Equation Modeling (e.g., Browne, MacCallum, Kim, Andersen, & Glaser, 2002 Browne, M.W., MacCallum, R.C., Kim, C.T., Andersen, B.L., & Glaser, R. (2002). When fit indices and residuals are incompatible. Psychological Methods, 7, 403–421.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Heene, Hilbert, Draxler, Ziegler, & Bühner, 2011 Heene, M.…
The Assessment of Reliability Under Range Restriction
Though much research and attention has been directed at assessing the correlation coefficient under range restriction, the assessment of reliability under range restriction has been largely ignored. This article uses item response theory to simulate dichotomous item-level data to assess the robustness of KR-20 (α), ω, and test–retest under varying selection ratios. These estimators, both corrected and uncorrected for range restriction, were compa…
Understanding the exploratory/confirmatory data analysis continuum
In light of the "replication crisis," some advocate for stricter standards and greater transparency in research methods. These efforts push toward a data analysis approach called "confirmatory data analysis" (CDA; see Wagenmakers et al., 2012). However, some (e.g., Baumeister, 2016; Goldin-Meadow, 2016) suggest that emphasizing CDA may restrict creativity and discovery. These scholars argued (sometimes inadvertently) for greater freedom to pursue…
The Assessment of Reliability Under Range Restriction
Though much research and attention has been directed at assessing the correlation coefficient under range restriction, the assessment of reliability under range restriction has been largely ignored. This article uses item response theory to simulate dichotomous item-level data to assess the robustness of KR-20 (α), ω, and test–retest under varying selection ratios. These estimators, both corrected and uncorrected for range restriction, were compa…
Model Conditioned Data Elasticity in Path Analysis
Much research has been directed at the validity of fit indices in Path Analysis and Structural Equation Modeling (e.g., Browne, MacCallum, Kim, Andersen, & Glaser, 2002 Browne, M.W., MacCallum, R.C., Kim, C.T., Andersen, B.L., & Glaser, R. (2002). When fit indices and residuals are incompatible. Psychological Methods, 7, 403–421.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Heene, Hilbert, Draxler, Ziegler, & Bühner, 2011 Heene, M.…
Estimating Incremental Validity Under Missing Data
A common form of missing data is caused by selection on an observed variable (e.g., Z). If the selection variable was measured and is available, the data are regarded as missing at random (MAR). Selection biases correlation, reliability, and effect size estimates when these estimates are computed on listwise deleted (LD) data sets. On the other hand, maximum likelihood (ML) estimates are generally unbiased and outperform LD in most situations, at…
The Eight Steps of Data Analysis
Data analysis is a risky endeavor, particularly among people who are unaware of its dangers. According to some researchers, “statistical conclusions validity” threatens all research subjected to the dark arts of statistical magic. Although traditional statistics classes may advise against certain practices (e.g., multiple comparisons, small sample sizes, violating normality), they may fail to cover others (e.g., outlier detection and violating li…
Understanding the exploratory/confirmatory data analysis continuum
In light of the "replication crisis," some advocate for stricter standards and greater transparency in research methods. These efforts push toward a data analysis approach called "confirmatory data analysis" (CDA; see Wagenmakers et al., 2012). However, some (e.g., Baumeister, 2016; Goldin-Meadow, 2016) suggest that emphasizing CDA may restrict creativity and discovery. These scholars argued (sometimes inadvertently) for greater freedom to pursue…
Young Mothers and Dating Violence
Purpose Young mothers are an understudied group at high risk for dating violence (DV) victimization and perpetration. Prior research has investigated depressive symptomatology as a predictor of DV in female adolescents and young women; however, minimal research focuses on young mothers, and the specific mechanisms influencing the relationship between depressive symptomatology and DV for young mothers remain elusive. Interpersonal competency is on…
The evaluation of non-specific risk indicators in improving detection of psychosis-spectrum liability
Psychosis-spectrum disorders remain a leading cause of disability for both individuals and society, with early identification and prevention efforts representing a promising avenue of research for addressing these concerns. One potential impediment to improving early risk identification is the historical focus on indicators thought to be exclusive to the psychosis-spectrum. This focus often comes at the expense of non-specific risk factors (e.g.,…
Schizotypy and substance use as predictors of academic functioning among college students over time
Psychology (5 works) · Computer Science (4 works) · Mathematics (4 works) · Statistics (4 works) · Econometrics (3 works) · Advanced Statistical Modeling Techniques (2 works) · Artificial Intelligence (2 works) · Clinical Psychology (2 works) · Data science (2 works) · Reliability (semiconductor) (2 works)