203 results on '"Condon, David M."'
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52. Personality States of the Union
53. The Convergence of Self and Informant Reports in a Large Online Sample
54. Bottom Up Construction of a Personality Taxonomy
55. Descriptive, Predictive and Explanatory Personality Research: Different Goals, Different Approaches, but a Shared Need to Move beyond the Big Few Traits
56. Individual Differences and Differential Psychology
57. That Takes the BISCUIT
58. Bottom Up Construction of a Personality Taxonomy
59. EAPP / EAPA Expert Meeting, 6 to 8 September 2018, Edinburgh
60. William Revelle
61. The distinction between symptoms and traits in the Hierarchical Taxonomy of Psychopathology (HiTOP).
62. The role of personality in shaping pandemic response: Systemic sociopolitical factors drive country differences
63. Laying personality BARE: Behavioral frequencies strengthen personality-criterion relationships
64. Guest Editorial—“Green Open Access is ‘Just’ Publishing”
65. That takes the BISCUIT: A comparative study of predictive accuracy and parsimony of four statistical learning techniques in personality data, with data missingness conditions
66. Smaller is better: Associations between personality and demographics are improved by examining narrower traits and regions
67. Four‑Factor Imagination Scale
68. Smaller Is Better: Associations Between Personality and Demographics Are Improved by Examining Narrower Traits and Regions
69. Reliability from α to ω: A tutorial.
70. Does recall period matter? Comparing PROMIS® physical function with no recall, 24-hr recall, and 7-day recall
71. Adolescent BMI as a function of personality and cognitive ability across SES
72. The Four-Factor Imagination Scale (FFIS): a measure for assessing frequency, complexity, emotional valence, and directedness of imagination
73. Interindividual Age Differences in Personality Structure
74. The Four-Factor Imagination Scale (FFIS): A measure for assessing frequency, complexity, emotional valence, and directedness of imagination
75. Who Are the Scrooges? Personality Predictors of Holiday Spending
76. Abstract: Targeted Muscle Reinnervation at the Time of Major Limb Amputation Prevents Phantom Limb and Residual Limb Pain
77. Does recall period matter? Comparing PROMIS® physical function with no recall, 24-hr recall, and 7-day recall.
78. Who are the Scrooges? Personality Predictors of Holiday Spending
79. Reliability from alpha to omega: a tutorial
80. Capturing the stories of our lives: Examining the collection of life narrative data
81. Reliability
82. Development and Validation of the Consumer Health Activation Index
83. The SAPA Personality Inventory: An empirically-derived, hierarchically-organized self-report personality assessment model
84. Consumer Health Activation Index
85. Reliability
86. Health and Situations
87. Reconsidering What is Vital about Vital Signs in Electronic Health Records: Comment on Matthews et al. (2016)
88. An organizational framework for the psychological individual differences: Integrating the affective, cognitive, and conative domains
89. Reconsidering what is vital about vital signs in electronic health records: Comment on Matthews et al. (2016).
90. Leveraging a more nuanced view of personality: Narrow characteristics predict and explain variance in life outcomes
91. On replication research
92. A SAPA Project Update: On the Structure of phrased Self-Report Personality Items
93. A SAPA Project Update: On the Structure of phrased Self-Report Personality Items
94. Selected ICAR Data from the SAPA-Project: Development and Initial Validation of a Public-Domain Measure
95. Who Are the Scrooges? Personality Predictors of Holiday Spending
96. Selected Personality Data from the SAPA-Project: On the Structure of Phrased Self-Report Items
97. A Comparison of Human Narrative Coding of Redemption and Automated Linguistic Analysis for Understanding Life Stories
98. Comprehensive Health Activities Scale
99. Development and Validation of the Comprehensive Health Activities Scale: A New Approach to Health Literacy Measurement
100. A Comparison of Human Narrative Coding of Redemption and Automated Linguistic Analysis for Understanding Life Stories.
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