Data Analysis

The questionnaire data was analyzed in several ways. The demographic data was analyzed and presented. The stressors, concerns, help-seeking sources, and coping behaviors were analyzed and presented using their means and standard deviations. Differences across individual variables such as gender, age, major, length of stay, and marital status were analyzed using unpaired t-tests.

The semi-structured interviews were digitally recorded and transcribed. The transcriptions were analyzed systematically for themes. Data was coded, categorized, and analyzed within the following areas: What are the primary stressors and concerns of these students? To whom do they usually turn for help in time of trouble or when psychologically depressed? What are the specific strategies they used in their life or study to deal with their stress? Data was organized into the following five broad categories: (1) personal concerns, (2) sociocultural concerns, (3) academic stress, (4) coping strategies, and (5) coping beliefs and suggestions for helping international students. Data was then grouped into subcategories. Themes were presented with examples of students’ statements to illustrate the theme.

 
Source
< Prev   CONTENTS   Source   Next >