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Liz Gross Dissertation Defense

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An Examination of the Relationship Between the Communication Methods Used in Out-of-Class Student-Faculty Interactions and the Content and Frequency of Those Interactions Liz Gross
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Page 1: Liz Gross Dissertation Defense

An Examination of the Relationship Between the Communication Methods Used in Out-of-Class Student-Faculty Interactions and the Content

and Frequency of Those Interactions

Liz Gross

Page 2: Liz Gross Dissertation Defense

Students who interact with faculty

(Astin, 1993, Pascarella & Terenzini, 2005)

particularly about specific topics

have higher levels of student engagement and are more successful at college.

Page 3: Liz Gross Dissertation Defense

RESEARCH QUESTIONS

Page 4: Liz Gross Dissertation Defense

Research Question #1Is there a relationship between the method of communication used in out-of-class student-faculty interactions and the content of those interactions?

Page 5: Liz Gross Dissertation Defense

Research Question #2Is there a relationship between the method of communication used in out-of-class student-faculty interactions and the frequency of those interactions?

Page 6: Liz Gross Dissertation Defense

THEORY & LITERATURE

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Integrationist

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Student Involvement/Engagement

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Relationship Between Involvement Behaviors and Academic Outcomes

(Astin, 1993)

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Other Literature Themes• Online communication may impact college

outcomes differently (Henry, 2010, Laird & Kuh, 2008)

• Students use of SNS/online comm increasing (Junco, 2011, Hargittai, 2008, Hargittai & Litt, 2011, Junco, 2011)

• Faculty adoption of SNS increasing, opportunity for increasing student interaction(Faculty Focus 2011, Junco, 2014)

• Relationship between online/offline interaction not yet determined(Jacobson & Forste, 2011, Pollet et al,, 2011)

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METHODOLOGY

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Methodology• Explanatory correlational design• Online survey• Quantitative• Variables– Communication method– Frequency of communication (monthly)– Topic of communication

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Development of Survey Instrument

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Development of Survey Instrument

Validity

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Development of Survey Instrument

Reliability

Pilot Study• Sample: 2,000• Response Rate: 14.75% (n=281)• Cronbach’s alpha:

• 7-item content measure = 0.773• 11-item communication measure =

0.581

Page 16: Liz Gross Dissertation Defense

Data Collection

Reliability

Formal Administration• Sample: 2,000• Response Rate: 11.3% (n=221)• Combined with pilot sample

(n=507)• Cronbach’s alpha:

• 7-item content measure = 0.773• 11-item communication measure =

0.592

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RESULTS

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ResultsIs there a relationship between the method of communication used in out-of-class student-faculty interactions and the content of those interactions?

Yes!

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Results

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Results

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Results

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Results

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Results

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Results

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Results

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Results

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Results

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Results

What about email?

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ResultsIs there a relationship between the method of communication used in out-of-class student-faculty interactions and the frequency of those interactions?Yes,

weak

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ResultsCommunication

Methodrpb

Facebook private 0.273Text message 0.257Facebook public 0.234Voice 0.214LMS 0.165Video 0.146Twitter private 0.144Twitter public 0.133IM 0.121

Point-Biserial Correlation Coefficient and Variance for Communication Method and Frequency of Student-Faculty Interactions

Total Methods

rpb = 0.366

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Results

20.8

Interactions per month

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Results

Twicethe

average

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IMPLICATIONS

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Implications for Practice• Faculty should offer multiple methods

of communication with students.• Faculty should not discount

traditional communication methods (face to face and LMS).

• Faculty should not shy away from communicating about non-academic topics.

Page 35: Liz Gross Dissertation Defense

Implications for Leadership• Leaders should strive to be multi-

modal communicators• Provide or seek training on

innovative communication methods

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Implications for Learning• In addition to face to face and LMS,

consider utilizing text messaging and Facebook private messages for learning activities.

• Support faculty learning regarding new communication methods, especially for out-of-class interactions.

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Implications for Service• Consider differences before making

assumptions about an entire group (i.e., college students)

• Racial differences of SNS users (Hargittai, 2008)

• African American students (4.1%, n=21) did not report using SNS to communicate with faculty

• Less likely to use text messaging or interact face-to-face.

Page 38: Liz Gross Dissertation Defense

Implications for Research• Explore alignment of student/faculty

communication preferences• Examine direct relationship between

communication method and content• Gather more data about college student

communication with other people groups• Revisit impact of Twitter on student-

faculty interactions• Determine if optimal frequency for

student-faculty communication exists.

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CONCLUSION AND QUESTIONS


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