Social Science Research Tyler Portis Design Considerations Meg - - PowerPoint PPT Presentation
Social Science Research Tyler Portis Design Considerations Meg - - PowerPoint PPT Presentation
Office of Institutional Research Social Science Research Tyler Portis Design Considerations Meg Nyce Jimmy Huynh Larry Long Alexander Yin Social Science Research Design 1. De ve lop your Re se ar c h Que stion(s) 2. Se le c t Re se ar
Social Science Research Design
1. De ve lop your Re se ar c h Que stion(s) 2. Se le c t Re se ar c h Appr
- ac h
3. De te r mine Re c r uitme nt / Sampling Str ate gy 4. De ve lop Instr ume nts & Pr
- toc ol
5. Conside r E thic al Implic ations & Biase s 6. Colle c t Data 7. Analyze and Communic ate Re sults
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Research Questions Research Approach Collecting Data Analyzing Data
Social Science Research Design
All re se a rc h sta rts with re se a rc h q ue stio ns tha t se t the me tho do lo g y a nd a na lysis. Se le c t a ppro pria te me tho do lo g y to a nswe r q ue stio ns (i.e . surve ys, fo c us g ro ups, inte rvie ws, me ta -a na lysis). E xe c ute re se a rc h a ppro a c h to c o lle c t da ta . Ana lyze re sults to dra w c o nc lusio ns tha t a nswe rs the re se a rc h q ue stio ns.
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Developing Research Questions
- T
he re se a rc h q ue stio n is the first ste p a nd ne e ds to b e de ve lo pe d a t the b e g inning o f the pro c e ss. T he da ta yo u c o lle c t sho uld b e dire c tly re la te d to yo ur re se a rc h q ue stio n.
- Re se a rc h q ue stio ns sho uld b e c le a r, fo c use d, a nd inte re sting .
- Yo ur re se a rc h q ue stio n will dic ta te yo ur re se a rc h a ppro a c h (i.e . fo c us g ro ups, surve ys,
a rtic le a na lysis).
- 6 Go lde n Rule s fo r Re se a rc h Ob je c tive s (https:/ / www.lipma nhe a rne .c o m/ ho w-to -d e fine -
g o o d-re se a rc h-o b je c tive s/ )
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Examples
- Wha t is the e xpe r
ie nc e o f Ho no rs Co lle g e stude nts? (inte rvie ws, fo c us g ro ups)
- Wha t is the diffe r
e nc e in pe rso na l de ve lo pme nt skills o f intra mura l spo rts pa rtic ipa nts a nd
no n-pa rtic ipa nts? (surve y)
- Wha t is the r
e lationship b e twe e n se x a nd hig h-risk drinking ? (surve y, inte rvie w, fo c us
g ro up)
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Interviews vs Focus Group vs Surveys
Interviews Focus Groups Surveys Pros
- Provide structure through guided
facilitation and one-on-one time
- Removes potential bias from
- ther participants that may occur
within a focus group
- Are flexible in method (i.e.
telephone, in-person, online)
- Provide qualitative data
- Give flexibility to dive deeper into
participant responses
- Provide quantitative data
- May provide more candid
responses since respondents complete survey in a more private, anonymous setting
- Reach more people
simultaneously Cons
- Can be susceptible to open-
endedness (and lack of generalizability in analysis)
- Require careful consideration and
training of observers to avoid biasing participants
- Are time consuming
- Lack of anonymity within group
may cause participants to not speak up on issues
- May provide skewed data due to
- utspoken participants who
dominate group discussion
- Require more investment of time
and effort in planning, recruiting, and facilitating groups
- Cannot ask follow-up questions
to responses
- Do not always give respondents a
way to make comments on matters not directly asked
- Can yield low response rates (i.e.
survey fatigue) - thus requires proper planning to recruit participants 6
Determine Recruitment / Sampling Strategy
T hing s to c o nside r o nc e yo u’ ve se le c te d a re se a rc h a ppro a c h (thing s yo u ha ve to c o nside r fo r I RB):
- Ho w will yo u re c ruit pe o ple / g e t pe o ple to pa rtic ipa te ?
- Ho w will yo u g e t e ma ils if yo u ne e d to surve y pe o ple ?
- Ho w a re yo u g o ing to pro te c t c o nfide ntia lity / a no nymity?
- Do yo u ne e d multiple pe o ple to run a fo c us g ro up? And ho w will yo u e limina te / minimize b ia s?
- Ho w muc h mo ne y a re yo u willing to spe nd to re c ruit pe o ple ?
- Ho w / whe re will yo u sto re yo ur da ta ?
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Why send survey to only a sample size instead of population?
- Po pula tio n re fe rs to a ll me mb e rs in a g ro up o f inte re st in a study
- Sa mple re fe rs to a sma lle r sub se t o f the po pula tio n tha t the study will b e imple me nte d o n
- Sa mpling :
- Re duc e s c o st o f da ta c o lle c tio n (Po pula tio n studie s re q uire o ne to g e t a re spo nse fro m
e ve ryo ne in the de fine d po pula tio n)
- Must b e c a re ful o f b ia s (i.e . a re the pe o ple re spo nding to the surve y re pre se nta tive o f the
po pula tio n? )
- T
his vide o pro vide s mo re info rma tio n a b o ut po pula tio n a nd sa mple s
- https:/ / yo utu.b e / e I
ZD1BF fw8E
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Sample Types & Sizes
Sample T ype s
Clic k the b utto n to g e t a n o nline re so urc e to c a lc ula te sa mple size . Note , not
e ve r yone will r e spond to your sur ve y, so you may ne e d to adjust your sample size to ac c ount for r e sponse r ate s.
Sample Size s
https:/ / yo utu.b e / pT uj57uXWlk
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Good Survey Design/Questions – Likert Questions
Likert questions enable for respondent to rate their
- pinion about something as
- pposed to eliminating it to a
black and white answer
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Good Survey Design/Questions – Skip Logic
Skip logic is when the designed survey skips survey questions that do not apply to the respondent. If we have a set of questions about living on campus, we want students who live
- ff-campus to not have to answer them.
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Good Survey Design/Questions – Avoid Leading Questions
Image source: https://aea365.org/blog/objection-thats-a- leading-survey-question-by-carla-hillerns-by-carla-hillerns/.
A leading question is a question that suggests the answer the research is looking to have
- confirmed. Avoid these questions
as they can create untrustworthy data.
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Survey Research Resource (Considered the Source for Survey Research)
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Preparing for Observations, Interviews, and Focus Groups
- Ma ke sure yo u ha ve the pro pe r supplie s (i.e . no te pa d, pe ns, ta pe re c o rde r, c o nse nt fo rms,
inte rvie w pro to c o l)
- Pla n yo ur inte rvie w q ue stio ns a nd de te rmine the struc ture o f yo ur inte rvie w
- De te rmine if yo ur inte rvie w is fully-struc ture d o r se mi-struc ture d
- F
ully-struc ture d inte rvie ws a re stric t a nd fo llo w a sc ript
- Se mi-struc ture d inte rvie ws a llo w fo r fo llo w-up q ue stio ns o r a dditio na l pro mpts b ut still fo llo w
so me fo rm o f struc ture
- Whe n writing inte rvie w q ue stio ns, g o fo r q ue stio ns tha t e lic it a tho ro ug h re spo nse
(i.e . a vo id ye s/ no re spo nse s)
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Consider Ethical Implications & Bias
- Pro te c t the c o nfide ntia lity o f yo ur pa rtic ipa nts (i.e . use pse udo nyms fo r q ua lita tive studie s a nd a g g re g a te
da ta fo r q ua ntita tive studie s)
- Cra ft yo ur q ue stio ns a nd da ta c o lle c tio n struc ture in a wa y tha t pa rtic ipa nts c a n a nswe r ho ne stly a nd
- pe nly
- I
f yo ur to pic is b a nkruptc y, c o nside r ho w yo u will g e t yo ur pa rtic ipa nts to fe e l c o mfo rta b le a nswe ring yo ur q ue stio ns.
- Co lle c t yo ur da ta in a wa y tha t is se c ure a nd do e s no t ide ntify yo ur pa rtic ipa nts
- Co nside r if yo u a re re q uire d to ha ve a c o unse lo r a t ha nd de pe nding o n yo ur inte rvie w q ue stio ns o r to pic
- Be c o nsiste nt with ho w yo u c o lle c t yo ur da ta to a vo id b ia s.
- I
f yo u ha ve two inte rvie we rs, ho w a re yo u ta king no te s fo r e a c h a nswe r? Are yo u tra nsc rib ing o r inte rpre ting a nswe rs?
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Strategies to Increase Response Rates
- Ma ke yo ur a udie nc e fe e l spe c ia l b y e xpre ssing g e nuine a ppre c ia tio n fo r the ir
pa rtic ipa tio n.
- “We wa nt to kno w wha t yo u think.”
- Pro vide inc e ntive s whe n po ssib le
- Gift c a rds, e ntry into ra ffle s, a nd o the r prize s a re e ffe c tive in g e tting re spo nde nts to c o mple te
surve ys.
- Ma ke yo ur surve y a s sho rt a s po ssib le
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Collecting Data
- F
- llo w yo ur e sta b lishe d pro to c o l fo r c o lle c ting da ta .
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Analyzing Survey Data
- Be fo re vie wing re sults, g o b a c k to yo ur ma jo r re se a rc h o b je c tive s a nd write a n o utline fo r
yo ur a na lysis to a nswe r tho se q ue stio ns.
- Cle a n a nd tra nsfo rm the da ta a s ne c e ssa ry
- Use da ta te c hno lo g y like Mic ro so ft E
xc e l, SPSS, o r SAS to a nswe r the q ue stio ns yo u ha ve .
- E
.g . Ca lc ula te me a ns, c ro ss-ta b ula te da ta , a nd c o nduc t t-te sts b a se d o n yo ur re se a rc h q ue stio n
- Dra w c o nc lusio ns a b o ut the da ta .
- Mo re info rma tio n o n a na lyzing re sults c a n b e fo und a t
https:/ / g e tthe ma tic .c o m/ insig hts/ a na lyze -surve y-da ta -surve y-a na lysis/ .
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Analyzing Interview / Focus Group Data
- Be fo re vie wing re sults, g o b a c k to yo ur ma jo r re se a rc h o b je c tive s a nd write a n o utline fo r
yo ur a na lysis to a nswe r tho se q ue stio ns.
- T
ra nsc rib e the inte rvie w re spo nse s
- I
de ntify the me s within the re spo nse s (Co de re spo nse s in so ftwa re suc h a s NVI VO, De duc e , e tc .)
- Dra w c o nc lusio ns a b o ut the da ta .
- Cro ss-c he c k (tria ng ula te ) yo ur finding s with o the r so urc e s (i.e . e xisting re se a rc h, fa c ulty
a dviso rs, e tc .)
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Institutional Review Board (IRB) Approval
I RB a ppro va l is ne e de d fo r re se a rc h studie s. F
- r the se purpo se s,
re se a rc h is de fine d a s "a syste ma tic inve stig a tio n, inc luding re se a rc h de ve lo pme nt, te sting a nd e va lua tio n, de sig ne d to de ve lo p o r c o ntrib ute to g e ne ra liza b le kno wle dg e .
Use UVM’s Se lf- De te r mination T
- ol to assist in de te r
mining if the pr
- je c t r
e quir e s IRB r e vie w. If you ne e d appr
- val, the we bsite will
dir e c t you on how to c omple te the ne c e ssar y IRB pape r wor k.
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Note about IRB Approval:
- I
RB is a b o ut pro te c ting the rig hts o f huma n pa rtic ipa nts; ho we ve r e ve n if yo u ha ve a n institutio n’ s I RB a ppro va l, it do e s no t me a n tha t the institutio n will suppo rt the re se a rc h.
- I