Research | Belonging Project | Wellbeing Project
Introduction & Background
Purpose:
Wellbeing is not clearly defined in the literature, and researchers struggle to fully encapsulate the complexity of the contrust. Traditionally, wellbeing has often been described using uni- or bi-dimensional models that examine only the psychological, psychosocial, or mental health aspects of wellbeing.
The primary aim of this study was to explore what other factors might be contributing to overall wellbeing, and to develop a novel scale that is more comprehensive and multidimensional than what has been previously available.
Other guidelines important to this research:
The goal of this project was to develop a novel scale that was specific to the developmental stage that I was most interested in studying, emerging adulthood. Emerging adulthood is usually defined as the first decade of adulthood (~18 - 28 years old). At the time that I conducted an extensive literature review, I could not find any wellbeing measures that were specifically tailored for this age group that solicited the opinions of my target population, leaving a major gap in the research literature.
In normal-people language, researchers were generally using scales intended for either children or fully-fledged adults, and the majority of these measures did not actually ask emerging adults how they felt or what was important to their wellbeing.
Finally, most of scientific research is done on WEIRD populations (and acronym for individuals coming primarily from westernized, educated, industrialized, rich, & democratic countries). Cultural differences have largely been left out of the discussion on wellbeing, and while I could not account for all cultural diversity, I wanted to acknowledge its existence in my research by oversampling in traditionally marginalized populations to the best of my abilities.
Doctoral Defense
Conceptual Framework
Due to the variance across definitions of wellbeing, it is important to include the specificities of the framework used for this study:
Examines wellbeing as a complex construct with multiple contributing factors
Uses a hermeneutic phenomenological approach to thematic analysis
Focused on the experiences of emerging adults in higher education
Views wellbeing through a western, individualistic lens
The Wellbeing Project
This project is broken into 3 distinct phases:
PHASE I - Pilot Study 1
PHASE II - Mixed Method Study
PHASE III - Pilot Study 2
My dissertation project was conducted on Phase II, therefore that will be the focus for this section.
All materials for Phase I are available upon request.
Primary Aims & Research Questions
Aim 1: Test the factor structure and reliability of a comprehensive, multidimensional measure of wellbeing
Aim 2: Assess the acceptability of the measure
Is this an acceptable meassure of multidimensional wellbeing?
Is this an acceptable measure of multidimensional wellbeing specifically for the target audience of emerging adults?
Are there dimensions of wellbeing that can be omitted or reduced for emerging adults?
Are there dimensions of wellbeing that need to be included or expanded on for emerging adults?
Aim 3: Test the convergent validity of the new measure
Aim 4: Assess the relationship of multidimensional wellbeing for individuals coming from historically marginalized populations
Aim 5: Develop a final measure of comprehensive, multidimensional wellbeing utilizing the integration of both the quantitative and qualitative data
PHASE II - Abstract
DEVELOPMENT OF A MULTIDIMENSIONAL MEASURE OF WELLBEING FOR EMERGING ADULTS
UTILIZING A CONVERGENT PARALLEL MIXED METHOD DESIGN
Kelley M. Wick, PhD
Advisor: Caron A.C. Clark, PhD.
Attempting to conceptualize wellbeing is difficult, and the current research literature does not offer a standard definition that encapsulates the complexity of this construct (Oades et al., 2021; Ryff, 1989), nor has there been a thorough consideration the impact of culture and societal standards of behavior on wellbeing (Krasko et al., 2022; Maccagnan et al., 2019; Voukeltau et al., 2019). Additionally, the emergence of a new developmental period between adolescence and true adulthood (emerging adulthood) offers an additional layer of nuance, as many of the traditional scales currently used to measure wellbeing are inappropriate for emerging adults (Baggio et al., 2017; Hossain et al., 2022; Nezlek & Humphrey, 2021; O’Connor et al., 2011; Sofija et al, 2021; Yunusova et al., 2021). A major gap in the current research literature is the reluctance in developing measures with the help of the target population. This dissertation was designed to address this gap by inviting emerging adults to have direct input into all stages of development for a novel measure intended to measure the wellbeing of them and their peers.
The aim of this study was to develop a novel measure of multidimensional wellbeing with 8 dimensions for the developmental stage of emerging adulthood, specifically tailored for those enrolled in college or university. Additionally, the primary questions were to assess the acceptability of the new measure using a convergent parallel mixed method design, where both quantitative and qualitative data are collected and analyzed simultaneously through separate processes before being integrated into one dataset to be analyzed together. This process was done through analysis of data from quantitative surveys data (Nsurveys = 312; Mage = 19.79 years old, SD = 1.37 years) alongside qualitative data consisting of personal narratives from the target population through focus groups (Nfocusgroups = 34; Mage = 23.26 years old, SD = 3.12 years).
Participants included a total of 346 individuals (71.69% female) from a large Midwestern university. Results indicated that increased levels of multidimensional wellbeing showed robust positive correlations with higher levels of happiness (r = .641, p < .001) and positive mental health (r = .740, p < .001) , as well as strong negative relationships with measures assessing the severity of symptoms associated with depression (r = - .611, p < .001) and generalized anxiety (r = - .539, p < .001). While confirmatory factor analysis did not support the originally hypothesized 8-factor structure, an adjusted 8-factor structure resulting from exploratory factor analysis and integration of qualitative data was supported, suggesting that further adjustment needed to be made to the dimensions to reflect the factor loading of items.
A second important aim for this study was to examine if multidimensional wellbeing was lower for participants who self-identified as belonging to one of 4 historically marginalized populations when compared with their peers. Results revealed significantly lower levels of wellbeing for students of color (p < .001, Cohen’s d = .629), students living with disability (p < .001, d = .629), students identifying as members of the LGBTQIA+ community (p < .001, d = .636), and students who grew up in lower socioeconomic households (p < .001, d = .618) when they were compared to their peers. The effect sizes associated with these results suggest that a significant portion of the variance in wellbeing can be attributed to subscribing to one of these marginalized identities, and these results are consistent with other studies in the literature (Nezlek & Humphrey, 2021; Suh et al., 1998).
A finalized measure of multidimensional wellbeing was ultimately developed with 8 dimensions: physical, life satisfaction/meaning, empathy, belonging, academic, holistic, burnout, and financial. Final reliability analysis revealed a Cronbach’s alpha of .928 for the total scale and α ranging from .810 to .932 for the subscales, with the exception of empathy (α = .576), which will be explored with further adjustments. After adjusting question stems, this project culminated in the Multidimensional Wellbeing Scale for Emerging Adults (MWB-EA), which is ready to be piloted in a future study.
Keywords: wellbeing, comprehensive wellbeing, emerging adulthood, wellbeing measure, historically marginalized populations
Original Pilot Study
PHASE I
Purpose: Phase I consisted of an extensive literature review on current wellbeing measures in order to determine what dimensions would be included in a novel multidimensional scale.
Participants (N = 93 participants)
Age: 18-76 years of age (Mage = 36.49)
Gender: 84.7% female, 10.5% male, 2.2% nonbinary
Ethnicity: 82.5% white, 4.4% Hispanic or Latinx, 4.4% more than one race, 3.6% Black or African-American, 2.2% prefer not to say, 1.5% American Indian or Alaska Native
Occupation: 26.3% undergraduate students, 12.4% graduate students, 1.5% university faculty, 5.8% k-12 teachers, 3.6% educational staff; 35.8% other professional (non-educational); 3.6% retired, 7.3% not currently employed, & 2.2% prefer not to say
Disability Status: 19.7% self-identifying as living with disability, 80.4% endorsing no disability status
Education: 81.5% endorsed having at least some college experience, with 57% endorsed having earned at least a bachelor’s degree
PHASE I - Hypothesis & Measures
Hypothesis: A multidimensional measure of wellbeing will consist of 8 equally-weighted, contributing dimensions; there will be shared covariance for the dimension dyads:
Psychological & Intellectual Wellbeing with Mental & Emotional Wellbeing
Mental & Emotional Wellbeing with Spiritual & Holistic Wellbeing
Life Satisfaction & Meaning with Spiritual & Holistic Wellbeing
Occupational Wellbeing with Financial Wellbeing
Proposed Dimensions: The following 8 dimensions were identified as the foundation for a comprehensive, multidimensional measurement of wellbeing, as well as what defines them:
Psychological & Intellectual Wellbeing – relating to the cognitive processes associated with one’s mental and emotional state
Physical Wellness – relating to physical health
Mental Health & Emotional Wellbeing – relating to the feelings and self-perceptions of one’s mental and emotional health
Life Satisfaction & Meaning – relating to how one evaluates their life as a whole, rather than acute emotional state
Spiritual & Holistic Wellbeing – relating to one’s religious, spiritual, or holistic whole-body spirituality or feeling a part of something larger than oneself
Occupational Wellbeing – relating to wellbeing associated with satisfaction with one’s occupation and the relationships with peers, inferiors, and superiors
Financial Wellbeing – relating to one’s self-evaluation of socioeconomic status and financial freedom or dependence
Social & Environmental Wellbeing – relating to evaluation of one’s place in the world and how they interconnect with the environment and society
Measures: In this initial phase, all items from all scales were used. The following scales were utilized for the purpose of creating a question bank that the dimensions identified would draw from (click here to view complete scales):
Basic Needs Satisfaction in General Scale (Ryan & Deci, 2000) – 21-item measure that was created to assess the satisfaction of basic psychological needs in general. Participants are instructed to indicate how true they felt each statement was of their life and respond on a scale of 1 (Not at all true) to 7 (Very true). Nine of the 21 items are negatively worded and were reversed scored prior to analyses. Higher scores are indicative of a higher level of satisfaction of needs. Reliability of the measure ranged from Cronbach’s α = .55 to .82 for the three subscales in three distinct samples, though information regarding the construct validity is mixed in the literature. In the original study, only 3 of 7 external measures correlated significantly to support the hypotheses. Permission for use and modification granted 25 September 2023.
PERMA Profiler (Butler & Kern, 2016) – 23-item measure created to assess five pillars of wellbeing (positive emotion, engagement, relationships, meaning, accomplishment). Questions are formatted on an 11-point scale with polar end labels (e.g., 0 indicating “not at all”, 10 indicating “completely”). Reliability of the measure is high with α = .94 across pilot studies (N = 31,966), and construct validity is satisfied with correlations ranging from .80 to .84 for both convergent and discriminant measures. Permission for use and modification granted 26 September 2023.
Mind-Body-Spirit Wellness Behavior & Characteristics Index (Hey et al., 2006) – 44-item measure using a mind-body-spirit framework to assess behaviors and characteristics associated with wellbeing. Participants are instructed to indicate their agreement with statements on a 3-point Likert scale with 1 indicating “rarely/seldomly”, 2 indicating “occasionally/sometimes” and 3 indicating “often/always”. Reliability and construct validity of the measure are acceptable, with α = .81 - .91, and correlations with convergent and discriminant measures ranging from .73 to .86. Permission for use and modification granted 26 September 2023.
Professional Quality of Life (Stamm, 2009) – 30-item measure developed in order to examine quality of life regarding compassion satisfaction and compassion fatigue in the helping professions. Questions are formatted on a Likert scale from 1 (indicating “never”) to 5 (indicating “very often”), and participants are asked to consider the questions in the context of their current work situations”. Reliability and construct validity of the measure are acceptable, with α = .80 to .90 across subscales, and correlations with convergent and discriminant measures ranging from .43 to .69. Permission for use and modification granted 20 June 2024.
Fulfilled Life Scale (Baumann & Ruch, 2022) – 32-item measure that was created to explore an individual’s self-perceptions about their lives lived so far. The first 24 questions ask participants to refer to their lives lived in retrospect, and the final 8 questions ask about their feelings about looking back on their life. Responses are recorded on a 6-item Likert scale with 1 indicating “does not apply at all” and 6 indicating “applies completely”. Reliability and construct validity of the measure are acceptable, with α = .82 to .92, and correlations with convergent and discriminant measures ranging from .28 to .77. Permission for use and modification granted 29 September 2023.
Warr’s Job Satisfaction Scale (Warr et al., 1979) – 16-item measure designed to examine an individual’s satisfaction with different aspects of their occupation. Responses are recorded on a 7-item Likert scale with 1 indicating “extremely dissatisfied" and 7 indicating “extremely satisfied”. Reliability and construct validity of the measure are acceptable, with α = .80 to .91, and significant correlations with convergent and discriminant measures, though specific correlations were not reported. Permission for use and modification requested 25 September 2023.
Workplace Belonging Scale (Jena & Pradham, 2018) – 12-item measure created with the intent of having a context-specific sense of belonging scale specific to an individual’s occupation and workplace setting. All items were positively worded, and participants were asked to response on a Likert-style scale of 1, indicating “strongly disagree” to 5, indicating “strongly agree”. Reliability and construct validity of the measure are acceptable, with α = 0.86, and correlations with convergent and discriminant measures of at least r = .38. Permission for use and modification granted 25 September 2023.
Financial Wellbeing Scale (Consumer Financial Protection Bureau, 2017) – 10-item measure aimed at examining financial wellbeing in individuals, described as the ability for an individual to fully meet their current and ongoing financial obligations. Items are split into two components. For the first 6 questions, participants were asked to rate how well statements described their experiences on a Likert-style scale of 1, indicating “describes me completely”, to 6, indicating “does not describe me at all”. The final 4 questions asked participants to rate how often a statement applied to them, with 1 indicating “always” and 6 indicating “never”. Reliability and construct validity of the measure are acceptable, with α = .89, and correlations with convergent and discriminant measures ranging from .30 to .64. Use of scale is granted open access via government institution; and additional permission for modification was granted 16 October 2023.
Social Wellbeing Scale (Keyes, 1998) – 33-item measure intended to examine the impact of social wellbeing, social integration, social contribution, social coherence, social actualization, and social acceptance. Participants were asked to rate how much they agreed or disagreed with the statements. Responses were recorded on a Likert-style scale of 1, indicating “strongly disagree” to 7, indicating “strongly agree”. . Reliability of the measure is borderline, with α = 0.57 in the first study, and α = 0.64 in the second study, and construct validity is acceptable correlations with convergent and discriminant measures of at least r = 0.30. Permission for use and modification granted 1 October 2023.
PHASE I - Statistical Analyses
Software: IBM's Statistical Package for the Social Sciences (SPSS; version 27)
Statistical Methods: Initially, there were a total of 180 items in their original form. There were a total of 5 rounds of item analysis, with the goal of reaching 100 items for the total measure. Whether items were kept or removed was directly tied to the literature and theoretical framework of the wellbeing construct. Item removal was conducted in two parts; the first component consisted of 4 rounds of theory-driven removal, and the second component comprised of 1 round of reliability analysis repeated until reliability was satisfactory for the combined scale as well as the dimension subscales. The selection criteria for each round was as follows:
Theory-Driven Removal of Items:
Round 1 - All items from the 8 contributing measures were listed by dimension. Each item was discussed among the research team, and items that best described the dimension they were part of were highlighted as items to keep. The purpose of this round was not to remove items, but to identify the items that were the most descriptive of the dimension being assessed. At the end of Round 1: N = 180 total scale items
Round 2 - The purpose of the 2nd round was to remove items that did not capture the essence of the dimension they represented; 5 items were removed from psychological/intellectual, 4 items from physical, 12 items from mental/emotional, 5 from life satisfaction/meaning, 6 from spiritual/holistic, 4 from occupational, and 0 from social/environmental. At the end of Round 2: N = 144 total scale items
Round 3 - Similar to round one, round three was intended as a way to solidify the items that best described each dimension. Each item was discussed in detail again, and those best describing their dimensions were highlighted to keep. Items not highlighted after this round were removed: 7 from psychological/intellectual, 2 from physical, 14 from mental/emotional, 12 from life satisfaction/meaning, 2 from spiritual/holistic, 8 from occupational, 0 from financial, and 8 from social/environmental. The Professional Quality of Life Scale (30 items; Stamm, 2009) and the Workplace Belonging Scale (12 items; Jena & Pradham, 2018) were added at this time, with the intent of analyzing them in round 4. At the end of Round 3: N = 106 + 42 (new) = 148 total scale items
Round 4 - In the final round of theory-driven removal, the purpose shifted back to determining if each dimension subscale was being captured by the items kept during previous rounds. Novel questions were added at this time. At this time, items that needed rewording or adjustment were also flagged, but no further items were removed. At the end of Round 4: N = 116 total scale items
Reliability Analysis:
Inter-item correlations were conducted first in order to reduce items prior to factor analysis, which removed 6 items that were correlated with other items at r ≥ .800.
After correlational findings, reliability analysis was conducted independently on each subscale using the following steps:
Reliability analysis was conducted on the complete in order to determine the baseline Cronbach’s α for that particular subscale
The item indicating the highest change in α if item removed was selected for removal from the subscale
Once the item was removed, reliability analysis of the subscale was conducted again without the removed item
This process was repeated until there were no longer any items that were detrimental to the subscales’ α, and considered complete once no further items were necessary for removal; ten items total were removed from the subscales utilizing this method.
Once complete, reliability assessment was conducted for each subscale independently, and data from the measures were found to have acceptably reliability, reflecting Cronbach’s α of at minimum of .771, and majority of subscales reflecting an α > .900. Finally, reliability analysis was conducted for the full measure of multidimensional wellbeing, and results indicated an overall Cronbach’s α of .962 (α∆ = .001), suggesting that the removal of items from the subscales was not detrimental to the overall measure.
At the completion of of Reliability Analysis: N = 99 total scale items
Scaling: A 6-point Likert style scale was used for responses (1 = strongly disagree, 2 = disagree, 3 = somewhat disagree, 4 = somewhat agree, 5 = agree, 6 = strongly agree), and all items were adjusted or reworded so that they could utilize the same response scale. Items that may be candidates for removal were highlighted so that attention could be brought to them after factor analysis and item correlations were conducted. Permission was obtained for the purpose of modifying each of the scales used for this purpose.
Methodology
** PLEASE NOTE: This section reflects data from PHASE II of the study.
Participants
The following reflects data from both the quantitative and qualitative components of this mixed method project, as well as the combined total after integration:
Quantitative surveys (Nquant = 347)
Qualitative focus groups (Nqual = 43)
Total PHASE II participants (Ntotal = 381)
Note. It is important to mention that this study was conducted at a large, midwestern R1 university, and the demographics reflect the diversity found within this area of the United States; therefore, replication studies are needed in other US markets to determine generalizability. This is covered in detail in the limitations and future directions sections of my dissertation (pp. 169 - 183). This complete document can be found below under the subsection 'Media'.
Overall Project Design
PHASE II - Research Design
PHASE II of The Wellbeing Project utilized a convergent parallel mixed method design; this means:
Quantitative survey data & qualitative focus group data were collected simultaneously but separately
The two datasets were also analyzed completely separate from one another
Once the individual datasets were analyzed separately, they were then integrated into one dataset
This final integrated dataset was then analyzed, which included interpretation & adjustments were made to the remaining items
After this 2nd analysis was complete, each question stem was evaluated & reworked for clarity & flow
The items that remained after the first 5 steps were then put together in a novel scale
Protocols Followed for Ensuring Rigor & Guarding Against Bias
Preregistration: This study was preregistered with the Open Science Framework (https://doi.org/10.17605/OSF.IO/RBNPQ). Any deviations from the preregistration were noted (pg. 76-77), as well as were added to the online preregistration documents for transparency.
Missing Data Protocol: Clear, step-by-step protocol was followed to handle all missing data (pg. 80-82):
Visual assessment
Thresholds for acceptable percentages of missing calculated per scale
Minimum duration for completion
Planned missing
All MAR/MCAR -99; listwise deletion
Data Protection Protocol: Clear, step-by-step protocol was followed for handling all data (pg. 82-84):
Identifiable data
a) Focus Groups via Zoom, videos deleted
b) Only PI had access
c) PI transcribed all transcripts
d) All identifiable data was saved to a password-protected external hard drive owned by the PI
e) Upon conclusion of the study, all identifiable data will be destroyed by PI
Deidentified data
a) All data deidentified personally by PI
b) Deidentified data was saved to a protected folder on the PI’s personal OneDrive
c) Access to this file was granted by PI, and files were only available to members of the PI’s dissertation committee
Research Design & Statistical Analyses
Software:
Quantitative Dataset: Qualtrics (for survey data collection), Microsoft Excel (for data cleaning), IBM's Statistical Package for the Social Sciences (SPSS, v. 29) & Muthen & Muthen's MPlus (for quantitative data analysis & diagramming)
Qualitative Dataset: Microsoft Outlook (for contacting participants), Calendly (for participants to sign up for focus group time slots), Zoom (to hold the focus groups), Zoom Whiteboard (for 'Sticky Note' activity), Qualtrics (to take the survey), Microsoft Forms (screening questionnaire for participants prior to being approved to join the study, & during the focus groups to evaluate the survey), NVivo & Microsoft Excel (for qualitative data analysis)
Integrated Dataset: Microsoft Excel, SPSS, & MPlus
Power Analysis: A priori power analysis determined using G*Power version 3.1.9.4 (alpha set at .05, desired power of 80%) = 84 participants required to detect a moderate effect size (r = .3) with sufficiently acceptable statistical power; study N = 381 far exceeded requirement
Statistical Methods: x
Model Fit: χ2 = 18.692, df = 2, p = < .001; RMSEA = .223; NFI = .920; CFI = .924; IFI = .928.
For More Detailed Results: x
Figure 5 can be found on page 62.
Figure 6 can be found on page 63.
Outcomes & Statistical Results
** PLEASE NOTE: This section reflects data from PHASE II of the study.
Visual Representation of the Qualitative Data
Figure 20.
Combined Results from Question 1 of the 'Sticky Note' Activity
Note. Participants were directed to jot down their immediate thoughts and feeling asssociated with the question, which they added to virtual sticky notes; this is a compilation of data collected across all focus groups
Figure 21.
Visual Representation of Wellbeing Created by Focus Groups
Note. All words included came directly from participants in the 6 focus groups in response to the following two questions: ‘what does wellbeing mean to you?’ and ‘what aspects of your life contribute to your wellbeing?’
Summary of Findings
Here, you will find a quick synopsis of findings from PHASE II of this study. If you would like further detail, including statistics, tables, & figures, please continue on to the next section.
Aim 1:
An 8-factor structure was supported by the data (just not the structure from the original hypothesis)
Aim 2:
Participants generally liked the scale & agreed that it was a good measure of wellbeing for emerging adults
Aim 3:
Correlational analyses indicated that the new wellbeing measure did correlate as hypothesized (positively with subjective happiness & positive mental health, & negatively with symptoms associated with depression & anxiety)
Aim 4:
Generally, participants from historically marginalized populations had lower levels of wellbeing when compared to their peers, suggesting that these populations could benefit from additional institutional support
Aim 5:
A novel measure of wellbeing was developed specifically for emerging adults enrolled in college by partnering directly with students throughout the process
A Deeper Look at the Primary Aims & Research Questions
Here, you can learn more about the results in far greater detail, including the more technical statistical reporting, as well as a selection of tables and figures for each specific aim. Interested in reading the full results? Please see Chapter IV of my doctoral dissertation (pg. 101).
Aim 1: Test the factor structure and reliability of a comprehensive, multidimensional measure of wellbeing
PARTIALLY SUPPORTED
The originally hypothesized factor structure stated that multidimensional wellbeing was comprised of 8 contributing factors. However, confirmatory factor analysis revealed that the originally hypothesized 8-factor structure indicated poor model fit. In order to examine other potential factor structures, exploratory factor analysis was conducted
Results revealed an 8-factor structure was the best fit for the data, just not with the originally proposed dimensions
Allowing the items to vary using EFA, the components themselves were adjusted (see below)
Table 5.
PHASE II - Summary of Model Fit Indices for Confirmatory Factor Analyses
Note. MWB = Multidimensional Wellbeing; reliability analysis was conducted in SPSS between models 4 and 5; integration of qualitative data was conducted between models 7 and 8; ** indicates significance at the p < .001
Table 6.
Comparison of Internal Consistency for Multidimensional Wellbeing & Subscales at Three Timepoints
a Baseline reliability for originally hypothesized Wellbeing scale and subscales prior to any confirmatory or exploratory factor analysis
b Wellbeing scale and adjusted subscales after exploratory factor analysis conducted in step 2
c First reliability analysis conducted after steps 1-3 as outlined in results
d Final confirmatory reliability analysis conducted at the completion of all steps of the confirmatory factor analysis process
Figure 18.
Integrated Hierarchical Model Featuring 8 Dimensions
Note. Factor model produced using standardized indices via MPlus diagrammer
Aim 2: Assess the acceptability of the measure
SUPPORTED
Table 6.
Focus Group Responses Evaluating the Original Multidimensional Wellbeing Scale
Note. N = 34; all items were evaluated on a Likert scale of 1 to 6 (1 = strongly disagree, 2 = disagree, 3 = somewhat disagree, 4 = somewhat agree, 5 = agree, 6 = strongly agree
1: Is this an acceptable measure of multidimensional wellbeing?
Participants indicated that the scale was a good measure of wellbeing (Mscore = 4.62 out of 6)
“I thought it was a delightful survey to take. I really liked it.”
“It was just visually inviting the moment that I clicked on the link – I felt that it was very easy to navigate.”
“I really like the questions and I felt it assessed for a lot of different types of wellbeing.”
2: Is this an acceptable measure of multidimensional wellbeing specifically for the target audience of emerging adults?
Participants indicated that the scale was a good measure of wellbeing for emerging adults
(Mscore = 4.62 out of 6)
“The fact that you are actively pursing change regarding college student wellbeing by trailblazing the introduction of this and the appropriate measurement of this within psychological literature is in a way, revolutionary.
Really grateful to have been a part of this project.”
3: Are there dimensions of wellbeing that can be omitted or reduced for emerging adults?
Occupational Wellbeing
“One of the things that came up was that not all students have jobs or have had jobs.”
Spiritual Wellbeing
“Maybe you're not a particularly spiritual person. And so that doesn't necessarily impact your wellbeing as much”
“Maybe it is just me, but the word ‘greater’ in greater purpose makes me immediately think of religion.”
4: Are there dimensions of wellbeing that need to be included or expanded on for emerging adults?
Quantity & Quality of Sleep
“I think there should be a question added about sleep,
because I know that it really affects my wellbeing when I don’t get enough of it.”
Romantic Relationships & Sexual Health
“Sexual wellbeing? Sexual health is important for college students;
drinking culture/partying; personal safety in regard to where you live, etc.”
Differing Experiences for International Students
Differing Experiences in Undergrad vs. Grad Students
Aim 3: Test the convergent validity of the new measure
SUPPORTED
Pearson’s r correlational analyses revealed that higher levels of multidimensional wellbeing had significant relationships with:
Higher levels of subjective happiness
Higher levels of positive mental health
Lower levels of symptoms associated with depression
Lower levels of symptoms associated with anxiety
Table 7.
PHASE II - Correlation of Multdimensional Wellbeing with Validity Measures
** p < .001
Aim 4: Assess the relationship of multidimensional wellbeing for individuals coming from historically marginalized populations
SUPPORTED
A series of independent sample t-tests were conducted in order to compare the experiences of historically marginalized students with their peers
Significant differences were found for all tested historically marginalized populations, suggesting that students from these groups have differing experiences than their majority peers
Aim 5: Develop a final measure of comprehensive, multidimensional wellbeing utilizing the integration of both the quantitative and qualitative data
Media & Publications
Please click any of the following thumbnails to view the document as a .pdf.
MANUSCRIPT (Currently in progress for 2025 publication)
Wick, K.M., & Clark, C.A.C. (TBD). Development of a novel measure of wellbeing for emerging adults. https://doi.org/10.17605/OSF.IO/M3RPV
OSF Preregistration: https://osf.io/rbnpq/
DOCTORAL DISSERTATION (2024)
Wick, K.M. (2024). Development of a multidimensional measure of wellbeing for emerging adults utilizing a convergent parallel mixed method design [Doctoral Dissertation]. University of Nebraska-Lincoln, Lincoln, NE. https://digitalcommons.unl.edu/dissunl/198/