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Mediation and Moderation in Social Research

 

Mediation and Moderation in Social Research

     Moderator variables establish the domain of maximal effectiveness of an independent variable (IV) by separating the sample into subgroups where the effect of the IV on the dependent variable (DV) differs in strength or direction. They address when or for whom an effect occurs. Statistically, a moderator is represented by an interaction effect between the IV and the moderator variable on the DV. In contrast, a mediator variable (M) represents the generative mechanism or process through which the IV can influence the DV. Mediators address the how or why an effect occurs by proposing a causal chain: the IV causes the mediator, and the mediator then causes the DV. This difference is crucial, as mislabeling these variables can lead to defective theoretical conclusions and inappropriate statistical analyses. Baron and Kenny (1986) formalized this crucial distinction and provided the initial causal steps framework for statistically testing mediation hypotheses with regression. Distinguishing between them is essential because the concepts represent fundamentally different causal models: moderation is about conditions, while mediation is about process. The choice between a moderator model and a mediator model reflects two distinct hypotheses about how a conceptual variable accounts for behavioral differences. A comprehensive understanding of the statistical models and assumptions is foundational to conducting a valid mediation analysis (MacKinnon, 2008).

Application of a Mediator Model

     The Journal of Veteran Studies article titled, Does attachment mediate PTSD and suicidality in a sample of Global War on Terrorism (GWOT) combat veterans? (Carbajal & Ponder, 2022), investigates the psychological process linking trauma-related disorders to severe outcomes in veterans. The study conducted parallel mediation models to test the reciprocal relationship between posttraumatic stress disorder (PTSD) and suicidality. A key model tested suicidality as the Independent Variable (IV) and PTSD symptoms (PCL-5) as the Dependent Variable (DV), with generalized anxiety, depression, and attachment avoidance/anxiety serving as the Mediators (M). Specifically, the results indicated that the relationship between suicidality and PTSD was significantly mediated through Depression, demonstrating that the relationship between suicidality is related to PTSD symptoms due to the intervening of depression. This finding emphasizes the importance of targeting depression in clinical interventions for this population, which is the practical benefit of identifying mediational pathways (Carbajal & Ponder, 2022).    

References

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research:

     Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.

Carbajal, J., & Ponder, W. N. (2022). Does attachment mediate PTSD and suicidality in a sample of Global War on

     Terrorism (GWOT) combat veterans?. Journal of Veterans Studies, 8(1), 208–221. DOI: 10.21061/jvs.v8i1.287

MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. Lawrence Erlbaum Associates.

Does Attachment Mediate PTSD and Suicidality in a Sample of Global War on Terrorism (GWOT) Combat Veterans?.pdf

    Does your peer meet the clear and professional communication standards set for this project?

     

    1. Does your peer meet the clear and professional communication standards set for this project? What specific choices show that they meet this objective? What is one change that could make it even stronger?
    2. Does your peer show awareness of their audience by anticipating how the recipient might respond? Explain your reasoning with an example.
    3. Rate the neatness of your peer's email or letter on a scale of 1-3. Kindly explain your rating.
    4. Are their complaints or requests framed in a way that encourages action? Explain your reasoning with an example.
    5. Does your peer go beyond the basic scenario, or do they only repeat exactly what was provided? Give examples of where they added extra detail, thought, or professionalism. If not, suggest two ways they could have shown more creativity.
    6. Does your peer follow the email or letter format outlined in the instructions? Give examples of how they do or do not. Offer your peer encouraging words in either case.
    7. Do you notice any signs your peer may have used AI in their work? If so, how effectively did they use it? Do you feel that they used it as a support tool or as a replacement for their own writing? Explain your reasoning. Offer tips for how they could use AI effectively (e.g., to catch proofreading or grammar errors) or more responsibly.

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    Applies Care for the HEENT and Integumentary Conditions The learner applies the clinical judgment

      

    7093.6.1 : Applies Care for the HEENT and Integumentary Conditions

    The learner applies the clinical judgment model to person-centered nursing care of diverse adults experiencing common alterations of the head, eyes, ears, nose, throat, and the integumentary system.

    7093.6.2 : Applies Care for F&E, and Respiratory Conditions

    The learner applies the clinical judgment model to person-centered nursing care of diverse adults experiencing common fluid and electrolyte and acid-base imbalances and alterations in respiratory functions.

    7093.6.3 : Applies Care for the GU, Reproductive, GI, and Hepatic Conditions

    The learner applies the clinical judgment model to person-centered nursing care of diverse adults experiencing common alterations in genitourinary, reproductive, gastrointestinal, and hepatic functions.

    7093.6.4 : Applies Care for Pain, Inflammation, Immunity, and Infection

    The learner applies the clinical judgment model to person-centered nursing care of diverse adults experiencing pain, inflammation, immunity, and infection.

    7093.6.5 : Recognizes Diverse Adult Patient Medical Conditions

    The learner recognizes the cues of diverse adult patients' body systems using the clinical judgment model.

    7093.6.6 : Recognizes Medical Conditions for a Care Plan

    The learner recognizes the cues of diverse adult patients' conditions to prepare a plan of care using the nursing process.

    7093.6.7 : Explains Collaboration with Interdisciplinary Teams

    The learner explains the importance of collaborating with interdisciplinary teams to promote safety, quality, and improved patient outcomes.

    7093.6.8 : Explains Pharmacological Care Error Prevention

    The learner explains how to provide pharmacological care to diverse adult patients using safe, person-centered practices based on principles of medication error prevention.

    7093.6.9 : Describes How to Promote Well-Being

    The learner describes strategies to promote health and well-being.

    7093.6.10 : Describes How to Support Adult Patients

    The learner describes professionalism, therapeutic communication, teaching, and learning strategies to use with diverse adult patients.

    IntroductionThe Clinical Judgment Measurement Model (NCJMM) provides nursing students different ways to develop care plans to reinforce clinical thinking and clinical reasoning that will prepare them to apply concepts from their didactic and lab courses in the clinical setting. In this course you will select one of the patients you cared for in your clinical intensive and complete the clinical judgement concept map for your performance assessment using the “Concept Map Template” in the Web Links section. You will need to collect information during your clinical intensive using the “NCJMMT Template” in the Web Links section. Do not include patient identifiers. During your clinical intensive, your clinical instructor will serve as a resource to guide you as you complete this assignment.Requirements

    Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide.

    You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.

    Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).

    Concept Map:

    Create a concept map using the “Concept Map Template” in the Web Links section below. Please see “Concept Map Directions” in the Web Links section below for further detail. There is also an example provided in the Web Links section below, titled “Concept Map Example,” that you can use for reference. Note: Do NOT include patient identifiers.

    A.  In the box labeled “Disease Process/Pathophysiology/Risk Factors,” describe the pathophysiology related to a disease process, disorder, or injury. Include the admitting diagnosis as well as the causes and risk factors for the disease process.
     

    B.  In the box labeled “Recognizing Cues,” identify at least 4 critical cues that are relevant to the patient’s current condition. Describe what the patient looks like, their complaints, vital signs, and anything in their medical history that would indicate this could be a problem.
     

    C.  Analyze the 4 critical cues from B by making 3 supporting connections between the cues and the patient’s clinical condition. Put this information in the top box labeled “Supporting,” under “Analyzing Cues/Concerns”.
     

    1.  Identify 2 of the critical cues that are most concerning in regard to the patient’s overall health outcome.  Put this information in the bottom box labeled “Concerning,” under “Analyzing Cues/Concerns”.
     

    D.  In the box labeled “Prioritizing Hypotheses,” determine 3 hypotheses critical to positive patient outcomes, listing them in order of priority. Utilize words such as “urgency,” “likelihood,” “risk,” “difficulty,” “time,” and “constraints”.
     

    E.  In the box labeled “Generated Solutions,” develop 4 solutions with appropriate interventions that will positively impact patient outcome and are appropriate to the care of the patient. Use the hypotheses from D to define a set of interventions for the expected solutions.
     

    F.  In the box labeled “Take Actions,” describe how each of the 4 solutions from E will be prioritized and implemented into the patient’s plan of care. You will have one action for each solution, and it must be the most important action for each solution.
     

    G.  In the box labeled “Evaluations Outcomes,” describe how the 4 solutions from E were effective or ineffective in improving patient outcome or care. You should have four evaluations, one for each desired solution.
     

    H.  Demonstrate professional communication in the content and presentation of your submission.
     

    File RestrictionsFile name may contain only letters, numbers, spaces, and these symbols: ! – _ . * ' ( )
    File size limit: 200 MB
    File types allowed: doc, docx, rtf, xls, xlsx, ppt, pptx, odt, pdf, csv, txt, qt, mov, mpg, avi, mp3, wav, mp4, wma, flv, asf, mpeg, wmv, m4v, svg, tif, tiff, jpeg, jpg, gif, png, zip, rar, tar, 7z 

     

     A:DISEASE PROCESS/PATHOPHYSIOLOGY RISK FACTORS

    Not Evident

    The description does not include a review of pathophysiology related to a disease process, disorder, or injury.

    Approaching Competence

    The description includes an incomplete or inaccurate review of the pathophysiology related to a disease process, disorder, or injury. Or it is missing key disease components.

    Competent

    The description includes a complete and accurate review of the pathophysiology related to the disease process, disorder, or injury including key disease components.

    B:RECOGNIZING CUES

    Not Evident

    The concept map is missing all 4 critical cues.

    Approaching Competence

    The concept map is missing 1 or more critical cues that are relevant to the patient’s current condition.

    Competent

    The concept map identifies at least 4 critical cues that are relevant to the patient’s current condition.

    C:ANALYZING CUES

    Not Evident

    The analysis does not make any supporting connections between cues and patient conditions.

    Approaching Competence

    The analysis is missing 1 or more supporting connections between cues and patient conditions. Or one or more of the connections is inaccurate or not related to the patient’s conditions.

    Competent

    The analysis makes 3 accurate supporting connections between the cues and patient conditions that are related to the patient’s conditions.

    C1:PATIENT OUTCOMES CUES

    Not Evident

    The concept map does not identify any cues of concern.

    Approaching Competence

    The concept map is missing identification of 1 or more cues of concern related to patient outcome. Or one or more of the cues identified is inaccurate or not related to the patient’s conditions.

    Competent

    The concept map accurately identifies 2 cues of concern related to patient’s conditions and outcome.

    D:PRIORITIZING HYPOTHESES

    Not Evident

    The concept map does not include hypotheses critical to positive patient outcomes.

    Approaching Competence

    One or more hypotheses critical to positive patient outcomes are missing. Or one or more of the hypotheses is inaccurate. Or the hypotheses are not prioritized correctly.

    Competent

    The concept map includes 3 accurate hypotheses critical to positive patient outcomes that are prioritized correctly.

    E:GENERATING SOLUTIONS

    Not Evident

    The concept map does not include 4 solutions.

    Approaching Competence

    One or more solutions does not have appropriate interventions that will positively impact patient outcome or is not appropriate to the care of the patient.

    Competent

    The concept map includes 4 solutions with appropriate interventions that will positively impact patient outcome and they are appropriate to the care of the patient.

    F:TAKE ACTIONS

    Not Evident

    The description of how each of the 4 solutions will be prioritized and implemented into the patient’s plan of care is not included.

    Approaching Competence

    The description of how the 4 solutions will be prioritized and implemented into the patient’s plan of care is incomplete or inaccurate.

    Competent

    The description of how each of the 4 solutions will be prioritized and implemented into the patient’s plan of care is accurate and complete.

    G:EVALUATING OUTCOMES

    Not Evident

    The concept map does not include a description of how the 4 solutions were effective or ineffective in improving patient outcome or care.

    Approaching Competence

    The concept map includes a description of how the 4 solutions were effective or ineffective in improving patient outcome or care, but the description for 1 or more interventions does not accurately explain how that intervention was effective or ineffective in improving patient outcome or care.

    Competent

    The concept map includes an accurate and detailed description of how each of the 4 solutions were effective or ineffective in improving patient outcome or care.

    H:PROFESSIONAL COMMUNICATION

    Not Evident

    This submission includes professional communication errors related to spelling, grammar, punctuation, and sentence fluency. For best results, please focus on the specific Correctness errors identified by Grammarly for Education to help guide your revisions. If you need additional assistance preparing your submission, please contact your Instructor.

    Approaching Competence

    This submission includes professional communication errors related to spelling, grammar, punctuation, and/or sentence fluency. For best results, please focus on the specific Correctness errors identified by Grammarly for Education to help guide your revisions.

    Competent

    This submission demonstrates correct use of spelling, grammar, punctuation, and sentence fluency. You have demonstrated quality professional communication skills in this submission.

    Disease Process/Pathophysiology/Risk Factors

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    2.

    3.

    4.

    Recognizing Cues

    WGU Nursing Concept Map

    Analyzing Cues/Concerns

    Supporting

    Concerning

    Prioritizing Hypotheses

    1.

    2.

    3.

    Take ActionsGenerated Solutions

    1.

    2.

    3.

    4.

    Evaluations Outcomes

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    2.

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    4.

    1. Text1:
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    8. Text8:

    Reflect on the multiple facets that make up your ‘identity’ (culture, race/ethnicity, language, ability, gender, sexuality, religion, size, etc.)

    create a narrative responding to the following prompts to reflect on the multiple facets that make up your "identity" (culture, race/ethnicity, language, ability, gender, sexuality, religion, size, etc.). Use 10 words from the word bank below to develop your narrative. 

    .● Summarize the experience and the main take-aways of visiting the Florida holocaust museum 

    ○ In what ways did the experience provide an opportunity to reflect on aspects of your identity that afford you certain advantages in the social world? Use concrete examples to illustrate.○ In what ways did the experience provide an opportunity to reflect on aspects of your identity that are a barrier advantage in the social world?

    I need a powerpoint for my dissertation proposal to get IRB approval

       I need a powerpoint for my dissertation proposal to get IRB approval please see attachment for example of powerpoint.  

    THE INFLUENCE OF ORGANIZATIONAL CULTURE ON JOB SATISFACTION AND TURNOVER INTENTION AMONG MILLENNIALS IN THE U.S. TELECOMMUNICATIONS SECTOR

    Rhonda G. Allen, MBA, BS, AS

    DBA Dissertation Research Proposal

    Committee Chair

    Dr Dale Mancini, PhD

    Committee Member

    Dr. David Nugent, DBA

    DBA Program Director

    Dr. Jonathan Shoemaker, PhD

    Introduction:

    Background of the Problem

    Problem Statement

    Purpose of the Study

    Definitions

    Significance of the Study

    Research Questions

    Conceptual Framework

     

    Review of Literature:

    Theoretical Framework

    Historical Overview and Seminal Contributors to the Literature

     

    Methodology:

    Research Design and Model

    Population, Sample, and Participants

    Data Collection and Data Analysis

     

    Conclusion/Next Steps

    Questions/References

    Agenda

    2

    Introduction

    Millennial Managers Bring New Expectations:

    Cultural Alignment is Key to Satisfaction and Retention

    Background of the Problem

    Organizational culture (OC) influences decisions, performance, and satisfaction (Assoratgoon & Kantabutra, 2023; Huang et al., 2024).

    The telecom industry faces critical challenges in talent attraction and retention, prompted by digital transformation (Feizi et al., 2023).

    Millennials (born 1981-2000) are increasingly represented in leadership in this sector. Described as tech-savvy and adaptable, they demonstrate higher turnover intentions than older cohorts (Lowe, et al., 2020; Lee et al., 2025).

    High Millennial turnover intentions threaten workforce stability, competitive advantage (Lee et al., 2025) and increase retention costs (Hancock et al., 2013).

    Projections indicate Millennials are 36% of the U.S. workforce, trending toward 75% globally by 2030 (Axten, 2015; DeMaria et al., 2024).

    Problem Statement

    OC is recognized as a key factor in employee outcomes

    Limited research examines how culture types (Clan compared to Hierarchy) affect job satisfaction and turnover intentions for Millennial managers in the U.S. telecom sector

    This gap leaves organizations without evidence-based strategies to align culture with Millennial expectations and improve retention in a rapidly changing industry.

    Purpose of Study

    Examines the relationship, if any, between organizational culture (Clan vs. Hierarchy), job satisfaction, and turnover intention among Millennial managers in the U.S. telecom sector.

    Objectives:

    Assess the influence of culture on job satisfaction (McShane & Von Glinow, 2018).

    Test whether job satisfaction mediates the link between culture and turnover intention.

    Provide recommendations that might reduce turnover and enhance engagement during digital transformation.

    Definitions

    Organizational Culture (OC)

    Shared values, beliefs, and norms shape behavior (Schein,

    2010).

    Competing Values Framework (CVF)

    Culture model with four types — clan, adhocracy, market,

    and hierarchy (Cameron & Quinn, 2011).

    OCAI Tool

    Measures organizational culture type based on CVF.

    Job Satisfaction

    Evaluation of workplace experiences; measured by MSQ

    –Short Form (Weiss et al., 1967).

    MSQ Short Form (Minnesota Satisfaction Questionnaire)

    A 20-item tool that measures overall job satisfaction and

    satisfaction with specific job aspects. It is known for its reliability and ease of use (Weiss et al., 1967).

    Turnover Intention

    Desire or plan to leave an organization; measured by TIS-6

    (Bothma & Roodt, 2013).

    TIS-6

    A six-item tool developed by Bothma and Roodt (2013) to

    measure employees’ intentions to leave their jobs. It is widely used

    due to its brevity and strong reliability in predicting actual

    turnover.

    Generational Cohort Theory (GCT)

    Explains how formative experiences shape values; Millennials

    emphasize purpose, flexibility, and inclusion.

    Digital Transformation

    Integration of digital technologies across an organization. This

    Integration drives cultural and operational changes to strengthen

    efficiency, innovation, and competitiveness (Vial, 2019).

    Millennial cohort

    The fourth generational cohort: includes individuals born between

    1981 and 2000. This study will utilize birth years identified by

    Lowe et al. (2020) and Mabaso and Mathebula (2025).

    Significance of Study

    Academic contribution: Extends organizational behavior and generational workforce research by focusing on Millennials in telecom, an underexplored group.

    Practical value: Offers insights for firms to align culture with Millennial values, enhance satisfaction, and reduce costly turnover.

    Addresses urgent industry need to retain skilled leaders and sustain competitive advantage amid ongoing technological change.

    Research Questions/Hypotheses

    RQ3: Does job satisfaction mediate the relationship between OC type (clan vs. hierarchy) and turnover intention among Millennial managers?

    H03: Job satisfaction does not mediate OC type (clan vs

    hierarchy) and TI relationship

    HA3: Job satisfaction mediates OC type (clan vs

    hierarchy) and TI relationship

    RQ1: What is the relationship, if any, between OC type (clan vs. hierarchy) and job satisfaction among Millennial managers?

    H01: No statistical relationship between OC

    type (clan vs hierarchy) and JS

    HA1: A statistical relationship between OC

    type (clan vs hierarchy) and JS

    RQ2: What is the relationship, if any, between OC type (clan vs. hierarchy) and turnover intention among Millennial managers?

    H02: No statistical relationship between OC

    type (clan vs hierarchy) and TI

    HA2: A statistical relationship between OC

    type (clan vs hierarchy) and JS

    Conceptual Framework

    Review of Literature

    Organizational Culture

    Job Satisfaction

    Turnover Intention

    Generational Cohort

    Theoretical Framework

    Note: Adapted from Diagnosing and Changing Organizational Culture, by K. S. Cameron & R. E. Quinn, 2011, Jossey-Bass. Copyright 2011 by Jossey-Bass.

    Competing Values Framework

    CVF was developed by Cameron and Quinn (2011) as a model of organizational culture.

    Defines culture across two dimensions: flexibility versus stability, and internal versus external focus.

    Explains how cultural values influence behaviors, attitudes, and outcomes.

    Four Culture Types: Clan, Adhocracy, Market, Hierarchy. This study focuses on Clan (collaborative, flexible) and Hierarchy (structured, control-oriented) types.

    Foundation for examining culture's impact on JS and TI among Millennial managers in the U.S. telecom sector.

    Seminal Contributors to Organizational Culture Theory

    These studies trace OC theory’s evolution—from early definitions to measurable frameworks, multi-level models, and validation of culture’s impact on performance.”

    Deal & Kennedy (1982):

    • Defined culture as “the way we do things around here”

    • One of the first systematic methods to analyze corporate culture

    Schein (1985):

    • “Father of Organizational Culture” – emphasized culture is learned and

    shared through problem-solving

    • Introduced three interconnected levels of culture: artifacts,

    espoused values, and basic underlying assumptions

    Denison (1990):

    • Quantified link between OC and performance

    • Developed four traits of effective cultures: involvement, consistency,

    adaptability, and mission

    • Identified culture as a strategic asset to facilitate long-term

    organizational effectiveness

    Ouchi & Wilkins (1985):

    • Proposed OC can be measured, studied, and compared

    • Laid the foundation for Schein's multiple levels of OC, Cameron

    and Quinn (2011) CVF framework

    Seminal Contributors to Job Satisfaction Theory

    JS theory progressed from recognition and social influence → needs-based models → intrinsic motivators → value alignment. This establishes satisfaction as a key driver of motivation, retention, and performance.

    Hawthorne Studies (Mayo, 1933):

    • “Hawthorne Effect” – performance improves with attention/recognition

    • Highlighted supportive supervision/group dynamics in JS

    • Influenced future theories by Maslow & Herzberg – linking satisfaction to motivation/retention

    Herzberg’s Two-Factor Theory (1959/1993):

    • Distinguished hygiene factors (prevent dissatisfaction) vs motivators (increase

    satisfaction)

    • Emphasized removing dissatisfaction does not equate to true satisfaction

    • Identified intrinsic motivators (recognition, growth, meaningful work) foster

    job design.

    Locke’s Value Theory (1976):

    • Defined JS as the fit between job outcomes and personal values.

    • Explained differences in satisfaction through individual value priorities

    • Formulated the value-percept model linking expectations, outcomes, and

    importance.

    • Laid foundation for modern measures (e.g., MSQ) and P-O fit research.

    Maslow’s Hierarchy of Needs (1943):

    • Needs-based framework linking motivation & job satisfaction

    • Shifted focus from pay to psychological & social needs

    • Employee JS rises when jobs meet multiple levels of needs

    • Foundation for later theories & guided job design

    Seminal Contributors to Turnover Intention Theory

    TI research evolved from decision-based models to cognitive withdrawal processes. Subsequently, this led to causal frameworks with commitment, and ultimately to the empirical validation of TI as the strongest predictor of turnover.

    March & Simon (1958)

    • Conceptualized turnover as a decision process: job satisfaction

    (desirability) vs alternatives (ease of movement)

    • Labor market opportunities moderate turnover intention

    • Dual-path model basis for later theories (Mobley, Price & Mitchell)

    Price & Mueller (1981)

    • Developed a causal model linking satisfaction, commitment, and job

    opportunities.

    • Identified organizational commitment as the key mediator of TI

    • Created measured tools used in later models (Lee & Mitchell, 1994)

    Tett & Meyer (1993)

    • Confirmed TI as the strongest predictor of quitting

    • Found that satisfaction and commitment shape intent to leave

    • Validated intention as mediator and set benchmark effect sizes

    Mobley (1977)

    • Suggested turnover as a stepwise process, tying dissatisfaction to

    the exit strategy

    • Introduced the cognitive sequence (thinking, searching, evaluating

    • Established TI as the strongest predictor of actual quitting

    Generational Cohort Theory (GCT): Background & Contemporary Research

    Application:

    In the telecom industry, aligning organizational culture with Millennial values and technical expertise is crucial for retention and workforce stability

    Contemporary View:

    Twenge (2023)

    • Technology now defines generations (not history)

    Technology Model of Generations (focus on technology, individualism, life strategies)

    Origin:

    Mannheim (1927/1952)

    • Generations are shaped by shared historical/social contexts and formative events

    Strauss & Howe (1991)

    • Introduced cyclical “turnings” model (80 to 100-year cycles).

    • Influential in framing Millennials, Gen Z, etc.

    Critiques:

    Twenge & Campbell (2008)

    • Generational effects are often linear, not abrupt.

    • Reflect gradual cultural and societal change over time

    Research Design and Model

    Methodology

    Quantitative correlational research design to assess relationships (Creswell & Creswell, 2023)

    Target population: U.S. Telecom Millennial managers

    Utilization of validated scales: OCAI, MSQ-Short Form, TIS-6

    Population and Sample

    U.S. Telecommunication sector first and second-level Millennial managers

    Purposive sampling (non-probability) approach

    Proposed sample: 150 participants across the U.S. region

    Data Collection Instruments

    Organizational Culture Assessment Instrument (OCAI): Participant assessment of OC for “Now and Future” environments (Cameron & Quinn, 2011)

    Minnesota Satisfaction Questionnaire – Short Form (MSQ-Short: Measures job satisfaction (e.g., intrinsic, extrinsic, and general job satisfaction) (Weiss et al., 1967)

    Turnover Intention Scale (TIS-6): Assesses employees’ intent to leave their job, based on thoughts and actions (Roodt, 2004)

    Data Collection

    Combined Survey Instruments hosted on Qualtrics

    IRB Compliant

    Survey link shared on MTurk and LinkedIn for participant access

    Data Analysis Plan

    IBM SPSS v30 for statistical analysis

    Descriptive statistics, reliability analysis

    Independent samples t-tests (or one-way ANOVA, linear regression), PROCESS Macro (Model 4)

    Validity Consideration

    Internal Validity: Emphasis on accuracy of instruments, confidentiality, and consistent methodologies

    External Validity: Purposive (non-probability) sampling limits generalizability. Strategies to enhance generalizability include clearly defined participant criteria, broad recruitment, and transparent reporting (Andrade, 2020).

    Ethical Considerations

    IRB approval obtained prior to study initiation

    Informed consent from all participants

    Confidentiality maintained through pseudonyms and secure storage

    Voluntary participation with right to withdraw at any time

    Data protection: encrypted storage of transcripts and survey responses

    No harm principle: sensitivity to participants’ privacy and business information

    Conclusion

    The investigation into organizational culture, job satisfaction, and turnover intention among Millennial managers in the U.S. telecommunications sector represents an underexplored area in the literature. Millennials, who now hold a growing share of leadership roles, are tech-savvy yet report higher turnover intentions than older cohorts, creating risks for workforce stability and retention costs. Using validated instruments (OCAI, MSQ-Short, TIS-6) and a quantitative correlational design, the study explores direct and mediated relationships between culture, satisfaction, and turnover. Findings are expected to extend theory on organizational culture and generational dynamics while offering telecom leaders practical strategies to foster alignment, enhance satisfaction, and reduce turnover during periods of rapid change, including digital transformation.

    Next Steps

    Request IRB Approval

    Submit the survey to the identified study participants

    Collect and analyze survey data from Millennial managers in the U.S. telecommunications sector

    Conduct statistical tests (correlation, regression, mediation) to address the three research questions.

    Present the findings (descriptive statistics, reliability analyses, and validity checks) for OCAI, MSQ-Short, and TIS-6.

    Report findings for direct and mediated relationships among organizational culture, job satisfaction, and turnover intention

    Questions?

    References

    Andrade, C. (2018). Internal, external, and ecological validity in research design, conduct, and evaluation. Indian journal of psychological medicine, 40(5), 498-499. https://doi.org/10.4103/IJPSYM.IJPSYM_334_18

    Assoratgoon, W., & Kantabutra, S. (2023). Toward a sustainability organizational culture model. Journal of Cleaner Production, 400, 136666.

    https://doi.org/10.1016/j.jclepro.2023.136666

     

    Axten, C. (2015). Millennials at work: The advice of great leaders. Defense AT&L, 39(1), 50-55. https://www.dau.edu/sites/default/files/Migrate/DATLFiles/Mar-Apr2015/Axten.pdf

    Bothma, F. C., & Roodt, G. (2013). The validation of the turnover intention scale. SA Journal of Human Resource Management, 11(1), 1–12. https://doi.org/10.4102/sajhrm.v11i1.507

    Cameron, K. S., & Quinn, R. E. (2011). Diagnosing and changing organizational culture: Based on the competing values framework (3rd ed.) [Kindle edition]. Jossey-Bass.

    Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). Sage Publications.

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    DeMaria, K., Page, I., Reuss, K., & Zemper, Z. (Eds.) (2024 August). Changes in the U.S. Labor Supply. Trendlines. U.S. Department of Labor Employment and Training Administration. 

    Denison, D. R. (1990). Corporate culture and organizational effectiveness. John Wiley & Sons.

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    Hancock, J. I., Allen, D. G., Bosco, F. A., McDaniel, K. R., & Pierce, C. A. (2013). Meta-analytic review of employee turnover as a predictor of firm performance. Journal of management, 39(3), 573-603.

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