Grouping codes according to drivers and themes. by Jennie Ochshorn (21300213)

Summary of the themes that emerged from each of the three research topics (RT). by Eve F. A. Kelly (21072144)

The main themes and associated subthemes of the results. by Ingrid Sørdal Følling (22537896)

Subjects:

Example of coding and theme development. by Kalpana Raghunathan (15997153)

“…Identified barriers and enablers aligned to five main themes related to the contextual level of impact: (i) healthcare system and systemic factors, (ii) patient and population, (iii) guidelines and standards, (iv) organisational capacity, and (v) health professional practice.…”

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

Schematic presentation of themes and categories. by Awole Seid (3839965)

“…The data were analyzed using an inductive thematic analysis approach with the aid of MAXQDA24 software.</p><p>Results</p><p>Three themes were identified: symptom burden and coping, individualized food choices, and unmet nutritional support needs. …”

Analytic themes on structural barriers to PrEP uptake, related codes, and manifestation of structural violence. by Patrick Mbullo Owuor (20776036)

Meta-aggregation of themes. by Jessica Allen (6163421)

Informants’ quotes on emotional regulation through food. by Ingrid Sørdal Følling (22537896)

Subjects:

Quotes about informants’ thoughts about food. by Ingrid Sørdal Følling (22537896)

Subjects:

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Trust change by gender. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by age group. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by education level. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by source of science information. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

Distribution of individual change in trust in science before and after the pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

Ethnic identity as a moderator among APIDA students. by Ronna Bañada (19233063)