SlideShare une entreprise Scribd logo
1  sur  22
Mark Connelly and Bianca Bramblett
 70% of college students procrastinate (Ferrari, 1995).

 Leads to missing deadlines for submitting
  assignments, claiming test anxiety, obtaining low
  course and semester grades, and low cumulative
  GPA (Beswick, Rothblum, & Mann, 1988; Rothblum, Solomon, & Murakami, 1986;
  Watson, 2001).
   Students who procrastinate report more

    ◦ colds and flu

    ◦ gastrointestinal problems

    ◦ insomnia (Ferrari, 2004).
   There are three different time perspectives

    ◦ Past (positive and negative)

    ◦ Present (hedonistic or “pleasure-seeking” and
      fatalistic or “fate based”)

    ◦ Future   (Zimbardo & Boyd, 1999.)
   The Big Five Mini-Marker is a shortened
    version of the Big Five Aspect Scale.
    ◦ Conscientiousness is the strongest predictor of
      procrastination (Schouwenberg & Lay,1995).
1.   Will an intervention reduce the amount of
     procrastination displayed by college
     students?
2.   Will students with different time
     perspectives react differently to the
     intervention?
3.   How do personality factors influence
     procrastination?
1.   Can GPA be a predictor of procrastination?

2.   Will the students turn essays in faster after
     the intervention than they did before it?

3.   Will students become more aware of their
     cognitive processes?
 Consisted of 46 students from the first year
  psychology seminar class.
  (30 Females and 16 Males)
 Stanford Time Perspective Inventory-short form
  (STPI)
 Big Five Mini-Markers Scale
 The Aitken Procrastination Inventory
 Metacognitive Awareness Inventory
 A brief demographic survey
   Aitken Procrastination Inventory Example:
     “I often wait until the last minute to get things done.”
     Rated on a 1-5 Likert Scale

   STPI Example
     “It upsets me when people are late for appointments.”
     Rated on a 1-5 Likert Scale

   Metacognitive Awareness Inventory Example:
     “I ask myself periodically if I am meeting my goals.”
     Answered either true of false
 The participants completed a survey in class
  consisting of the measures for both the pre and
  posttests after giving informed consent.

 It was used to assess whether the students turned
  assignments in faster after the intervention.
   Created the syllabus along with Dr. Blasko
    ◦ Utilized methods of preventing procrastination (e.g.
      chunking, time management skills)

   Taught a lesson to the class utilizing pretest
    results to show how they ranked.
    ◦ Offered areas of improvement.
t(36) = 3.5, p = .001
Time Perspective Correlations
N=46                   Past       Past    Present   Present            Future
                     Negative    Positive Fatalism Hedonism
Procrastination        -.057       .180       .350*        .412*      -.722**

 Note. **Indicates that correlation is significant at the 0.01 level * Indicates
 significant at the .05 level
School Factors Correlations
N=46                  Essay Turn in          High School        Predicted GPA
                          Time                  GPA
Procrastination           -.438*                -.180                -.097
Note. **Indicates that correlation is significant at the 0.01 level * Indicates
significant at the .05 level
5
             4
Mean Score




             3
             2
             1                Pretest
             0                Posttest




                 Future:
                 t(36) = 3.13, p = .003
                 Present Fatalistic:
                 t(36) = -4.01, p = .000
1.   Will an intervention reduce the amount of
     procrastination displayed by college
     students? Yes
2.   Will students with different time
     perspectives react differently to the
     intervention? Yes
3.   How do personality factors influence
     procrastination? No Supporting Data
   Can GPA be a predictor of procrastination? No
    Supporting Data

   Will the students turn essays in faster after
    the intervention than they did before it? Yes

   Will students become more aware of their
    cognitive processes? Yes (M= 35.38) to (M=
    38.97).
   We did not have a comparison group.

   Factors could influence procrastination that
    were not measured.

   The study is being conducted on a very select
    group of students.
   Possible new tools and methods for reducing
    procrastination in an academic setting.

   Can help to reduce student anxiety and also
    has the potential to help the students achieve
    higher grades and learn more.
   Beswick, G., Rothblum, E. D. and Mann, L. (1988), Psychological antecedents
       of student procrastination. Australian Psychologist, 23, 207–217.
   Ferrari, J. R., Johnson, J., & McCown, W. G. (1995). Procrastination and task
       avoidance: Theory, research, and treatment. New York: Plenum Press.
   Rothblum, E., D.; Solomon, L., J.; Murakami, J. (1986). Affective, cognitive,
       and behavioral differences between high and low procrastinators. Journal
       of Counseling Psychology, 33(4), 387-394.
   Schouwenberg, H.C., & Lay, C. L. (1995). Trait procrastination and the big
       five factors of personality. Personality and Individual Differences, 18,
       481-490.
   Watson, D.C. (2001). Procrastination and the five-factor model: A facet level
       analysis. Personality and Individual Differences, 30, 149-158.
   Zimbardo, P. G. & Boyd, J. N. (1999). Putting Time in Perspective: A Valid,
       Reliable Individual-Differences Metric. Journal of Personality & Social
       Psychology, 77(6), 1271-1288.
   The authors would like to thank Dr. Dawn
    Blasko, our faculty advisor, for her guidance
    and support throughout the research
    process, along with Dr. Robert W.
    Light, Senior Associate Dean, for his financial
    support through the grant program at Penn
    State Behrend.

Contenu connexe

Tendances

Implementation of the Zulliger Test as a Projective Test in the Recruitment P...
Implementation of the Zulliger Test as a Projective Test in the Recruitment P...Implementation of the Zulliger Test as a Projective Test in the Recruitment P...
Implementation of the Zulliger Test as a Projective Test in the Recruitment P...Caro Cont
 
Week 2 exercise_2015 (9)
Week 2 exercise_2015 (9)Week 2 exercise_2015 (9)
Week 2 exercise_2015 (9)Saida Efendieva
 
Zulliger test recruitment in france
Zulliger test recruitment in franceZulliger test recruitment in france
Zulliger test recruitment in franceCaro Cont
 
Characteristics of a good test
Characteristics of a good testCharacteristics of a good test
Characteristics of a good testALMA HERMOGINO
 
Test standardization and norming
Test standardization and normingTest standardization and norming
Test standardization and normingHannah Grace Gilo
 
Color Stroop Effects on Students’ Cognitive Ability
Color Stroop Effects on Students’ Cognitive AbilityColor Stroop Effects on Students’ Cognitive Ability
Color Stroop Effects on Students’ Cognitive AbilityAce Matilac
 
1. types of psychological tests by S.Lakshmanan Psychologist
1. types of psychological tests by S.Lakshmanan Psychologist1. types of psychological tests by S.Lakshmanan Psychologist
1. types of psychological tests by S.Lakshmanan PsychologistLAKSHMANAN S
 
Quantitative techniques for psychology
Quantitative techniques for psychologyQuantitative techniques for psychology
Quantitative techniques for psychologySmiley Rathy
 
Principles of language assessment
Principles of language assessmentPrinciples of language assessment
Principles of language assessmentSutrisno Evenddy
 
M.Ed Guidance & Counselling II Topic-administration ofPsychological testing- ...
M.Ed Guidance & Counselling II Topic-administration ofPsychological testing- ...M.Ed Guidance & Counselling II Topic-administration ofPsychological testing- ...
M.Ed Guidance & Counselling II Topic-administration ofPsychological testing- ...fatima roshan
 
Types of Psychological Test
Types of Psychological Test Types of Psychological Test
Types of Psychological Test Krishna Mehra
 
Language assessment tsl3123 notes
Language assessment tsl3123 notesLanguage assessment tsl3123 notes
Language assessment tsl3123 notesPeterus Balan
 
flanders’ system of interaction analysis
flanders’ system of interaction analysisflanders’ system of interaction analysis
flanders’ system of interaction analysisPriyanka Chaurasia
 

Tendances (20)

Flanders Interaction Analysis System
Flanders Interaction Analysis SystemFlanders Interaction Analysis System
Flanders Interaction Analysis System
 
Measurement and evaluation
Measurement and evaluationMeasurement and evaluation
Measurement and evaluation
 
Implementation of the Zulliger Test as a Projective Test in the Recruitment P...
Implementation of the Zulliger Test as a Projective Test in the Recruitment P...Implementation of the Zulliger Test as a Projective Test in the Recruitment P...
Implementation of the Zulliger Test as a Projective Test in the Recruitment P...
 
Interaction analysis
Interaction analysisInteraction analysis
Interaction analysis
 
Week 2 exercise_2015 (9)
Week 2 exercise_2015 (9)Week 2 exercise_2015 (9)
Week 2 exercise_2015 (9)
 
Zulliger test recruitment in france
Zulliger test recruitment in franceZulliger test recruitment in france
Zulliger test recruitment in france
 
Language testing the social dimension
Language testing  the social dimensionLanguage testing  the social dimension
Language testing the social dimension
 
Characteristics of a good test
Characteristics of a good testCharacteristics of a good test
Characteristics of a good test
 
Test standardization and norming
Test standardization and normingTest standardization and norming
Test standardization and norming
 
Color Stroop Effects on Students’ Cognitive Ability
Color Stroop Effects on Students’ Cognitive AbilityColor Stroop Effects on Students’ Cognitive Ability
Color Stroop Effects on Students’ Cognitive Ability
 
1. types of psychological tests by S.Lakshmanan Psychologist
1. types of psychological tests by S.Lakshmanan Psychologist1. types of psychological tests by S.Lakshmanan Psychologist
1. types of psychological tests by S.Lakshmanan Psychologist
 
Quantitative techniques for psychology
Quantitative techniques for psychologyQuantitative techniques for psychology
Quantitative techniques for psychology
 
Principles of Language Assessment
Principles of Language AssessmentPrinciples of Language Assessment
Principles of Language Assessment
 
Reliability bachman 1990 chapter 6
Reliability bachman 1990 chapter 6Reliability bachman 1990 chapter 6
Reliability bachman 1990 chapter 6
 
Principles of language assessment
Principles of language assessmentPrinciples of language assessment
Principles of language assessment
 
M.Ed Guidance & Counselling II Topic-administration ofPsychological testing- ...
M.Ed Guidance & Counselling II Topic-administration ofPsychological testing- ...M.Ed Guidance & Counselling II Topic-administration ofPsychological testing- ...
M.Ed Guidance & Counselling II Topic-administration ofPsychological testing- ...
 
Types of Psychological Test
Types of Psychological Test Types of Psychological Test
Types of Psychological Test
 
Language assessment tsl3123 notes
Language assessment tsl3123 notesLanguage assessment tsl3123 notes
Language assessment tsl3123 notes
 
flanders’ system of interaction analysis
flanders’ system of interaction analysisflanders’ system of interaction analysis
flanders’ system of interaction analysis
 
TONI-4 Test Review
TONI-4 Test ReviewTONI-4 Test Review
TONI-4 Test Review
 

Similaire à Team Time Sigma Xi Presentation

Brennan_Kaitlyn_Arestyposter
Brennan_Kaitlyn_ArestyposterBrennan_Kaitlyn_Arestyposter
Brennan_Kaitlyn_ArestyposterKaitlyn Brennan
 
AchPer Poster Updated 4:6
AchPer Poster Updated 4:6AchPer Poster Updated 4:6
AchPer Poster Updated 4:6Ashlyn Lowe
 
7103449 dislike-of-math-thesis-final-version
7103449 dislike-of-math-thesis-final-version7103449 dislike-of-math-thesis-final-version
7103449 dislike-of-math-thesis-final-versionFranco Yumul
 
Multilevel modelling of Chinese primary children’s metacognitive strategies i...
Multilevel modelling of Chinese primary children’s metacognitive strategies i...Multilevel modelling of Chinese primary children’s metacognitive strategies i...
Multilevel modelling of Chinese primary children’s metacognitive strategies i...Christian Bokhove
 
Procrastination : Delaying Tactics of Junior High School Students
Procrastination : Delaying Tactics of Junior High School StudentsProcrastination : Delaying Tactics of Junior High School Students
Procrastination : Delaying Tactics of Junior High School StudentsEmpressNelMacias
 
Detecting and Responding to Student Emotion
Detecting and Responding to Student EmotionDetecting and Responding to Student Emotion
Detecting and Responding to Student EmotionBeverly Park Woolf
 
Writing multiple choice questions 3
Writing multiple choice questions 3Writing multiple choice questions 3
Writing multiple choice questions 3Julie Sievers
 
Sheet1ActivityNormalTimeNormalCostCrashTimeCrashCostCrash.docx
Sheet1ActivityNormalTimeNormalCostCrashTimeCrashCostCrash.docxSheet1ActivityNormalTimeNormalCostCrashTimeCrashCostCrash.docx
Sheet1ActivityNormalTimeNormalCostCrashTimeCrashCostCrash.docxlesleyryder69361
 
JiTT - Tilting Classes Across the Academy - COLTT 2016
JiTT - Tilting Classes Across the Academy - COLTT 2016JiTT - Tilting Classes Across the Academy - COLTT 2016
JiTT - Tilting Classes Across the Academy - COLTT 2016Jeff Loats
 
Advanced research methods research paper
Advanced research methods research paperAdvanced research methods research paper
Advanced research methods research paperAlFajrQuraan
 
CLA 2 PresentationBUS 606 Advanced Statistical Concepts An
CLA 2 PresentationBUS 606 Advanced Statistical Concepts AnCLA 2 PresentationBUS 606 Advanced Statistical Concepts An
CLA 2 PresentationBUS 606 Advanced Statistical Concepts AnVinaOconner450
 
Individual Project Poster
Individual Project PosterIndividual Project Poster
Individual Project PosterKelsey Wilson
 
Emergo: Academic Performance Assessment and Planning with a Data Mart (WCCE 2...
Emergo: Academic Performance Assessment and Planning with a Data Mart (WCCE 2...Emergo: Academic Performance Assessment and Planning with a Data Mart (WCCE 2...
Emergo: Academic Performance Assessment and Planning with a Data Mart (WCCE 2...Vinícius M. Kern
 

Similaire à Team Time Sigma Xi Presentation (20)

Brennan_Kaitlyn_Arestyposter
Brennan_Kaitlyn_ArestyposterBrennan_Kaitlyn_Arestyposter
Brennan_Kaitlyn_Arestyposter
 
Poster
PosterPoster
Poster
 
AchPer Poster Updated 4:6
AchPer Poster Updated 4:6AchPer Poster Updated 4:6
AchPer Poster Updated 4:6
 
APA style
APA styleAPA style
APA style
 
7103449 dislike-of-math-thesis-final-version
7103449 dislike-of-math-thesis-final-version7103449 dislike-of-math-thesis-final-version
7103449 dislike-of-math-thesis-final-version
 
Multilevel modelling of Chinese primary children’s metacognitive strategies i...
Multilevel modelling of Chinese primary children’s metacognitive strategies i...Multilevel modelling of Chinese primary children’s metacognitive strategies i...
Multilevel modelling of Chinese primary children’s metacognitive strategies i...
 
Kalender aapt talk_2
Kalender aapt talk_2Kalender aapt talk_2
Kalender aapt talk_2
 
Procrastination : Delaying Tactics of Junior High School Students
Procrastination : Delaying Tactics of Junior High School StudentsProcrastination : Delaying Tactics of Junior High School Students
Procrastination : Delaying Tactics of Junior High School Students
 
Sistekchandlerdefenserfinal
SistekchandlerdefenserfinalSistekchandlerdefenserfinal
Sistekchandlerdefenserfinal
 
Qmet 252
Qmet 252Qmet 252
Qmet 252
 
Detecting and Responding to Student Emotion
Detecting and Responding to Student EmotionDetecting and Responding to Student Emotion
Detecting and Responding to Student Emotion
 
surveys non experimental
surveys non experimentalsurveys non experimental
surveys non experimental
 
Writing multiple choice questions 3
Writing multiple choice questions 3Writing multiple choice questions 3
Writing multiple choice questions 3
 
Sheet1ActivityNormalTimeNormalCostCrashTimeCrashCostCrash.docx
Sheet1ActivityNormalTimeNormalCostCrashTimeCrashCostCrash.docxSheet1ActivityNormalTimeNormalCostCrashTimeCrashCostCrash.docx
Sheet1ActivityNormalTimeNormalCostCrashTimeCrashCostCrash.docx
 
JiTT - Tilting Classes Across the Academy - COLTT 2016
JiTT - Tilting Classes Across the Academy - COLTT 2016JiTT - Tilting Classes Across the Academy - COLTT 2016
JiTT - Tilting Classes Across the Academy - COLTT 2016
 
Advanced research methods research paper
Advanced research methods research paperAdvanced research methods research paper
Advanced research methods research paper
 
CLA 2 PresentationBUS 606 Advanced Statistical Concepts An
CLA 2 PresentationBUS 606 Advanced Statistical Concepts AnCLA 2 PresentationBUS 606 Advanced Statistical Concepts An
CLA 2 PresentationBUS 606 Advanced Statistical Concepts An
 
Individual Project Poster
Individual Project PosterIndividual Project Poster
Individual Project Poster
 
URAD- Poster
URAD- PosterURAD- Poster
URAD- Poster
 
Emergo: Academic Performance Assessment and Planning with a Data Mart (WCCE 2...
Emergo: Academic Performance Assessment and Planning with a Data Mart (WCCE 2...Emergo: Academic Performance Assessment and Planning with a Data Mart (WCCE 2...
Emergo: Academic Performance Assessment and Planning with a Data Mart (WCCE 2...
 

Team Time Sigma Xi Presentation

  • 1. Mark Connelly and Bianca Bramblett
  • 2.  70% of college students procrastinate (Ferrari, 1995).  Leads to missing deadlines for submitting assignments, claiming test anxiety, obtaining low course and semester grades, and low cumulative GPA (Beswick, Rothblum, & Mann, 1988; Rothblum, Solomon, & Murakami, 1986; Watson, 2001).
  • 3. Students who procrastinate report more ◦ colds and flu ◦ gastrointestinal problems ◦ insomnia (Ferrari, 2004).
  • 4. There are three different time perspectives ◦ Past (positive and negative) ◦ Present (hedonistic or “pleasure-seeking” and fatalistic or “fate based”) ◦ Future (Zimbardo & Boyd, 1999.)
  • 5. The Big Five Mini-Marker is a shortened version of the Big Five Aspect Scale. ◦ Conscientiousness is the strongest predictor of procrastination (Schouwenberg & Lay,1995).
  • 6. 1. Will an intervention reduce the amount of procrastination displayed by college students? 2. Will students with different time perspectives react differently to the intervention? 3. How do personality factors influence procrastination?
  • 7. 1. Can GPA be a predictor of procrastination? 2. Will the students turn essays in faster after the intervention than they did before it? 3. Will students become more aware of their cognitive processes?
  • 8.  Consisted of 46 students from the first year psychology seminar class.  (30 Females and 16 Males)
  • 9.  Stanford Time Perspective Inventory-short form (STPI)  Big Five Mini-Markers Scale  The Aitken Procrastination Inventory  Metacognitive Awareness Inventory  A brief demographic survey
  • 10. Aitken Procrastination Inventory Example:  “I often wait until the last minute to get things done.”  Rated on a 1-5 Likert Scale  STPI Example  “It upsets me when people are late for appointments.”  Rated on a 1-5 Likert Scale  Metacognitive Awareness Inventory Example:  “I ask myself periodically if I am meeting my goals.”  Answered either true of false
  • 11.  The participants completed a survey in class consisting of the measures for both the pre and posttests after giving informed consent.  It was used to assess whether the students turned assignments in faster after the intervention.
  • 12. Created the syllabus along with Dr. Blasko ◦ Utilized methods of preventing procrastination (e.g. chunking, time management skills)  Taught a lesson to the class utilizing pretest results to show how they ranked. ◦ Offered areas of improvement.
  • 13. t(36) = 3.5, p = .001
  • 14. Time Perspective Correlations N=46 Past Past Present Present Future Negative Positive Fatalism Hedonism Procrastination -.057 .180 .350* .412* -.722** Note. **Indicates that correlation is significant at the 0.01 level * Indicates significant at the .05 level
  • 15. School Factors Correlations N=46 Essay Turn in High School Predicted GPA Time GPA Procrastination -.438* -.180 -.097 Note. **Indicates that correlation is significant at the 0.01 level * Indicates significant at the .05 level
  • 16. 5 4 Mean Score 3 2 1 Pretest 0 Posttest Future: t(36) = 3.13, p = .003 Present Fatalistic: t(36) = -4.01, p = .000
  • 17. 1. Will an intervention reduce the amount of procrastination displayed by college students? Yes 2. Will students with different time perspectives react differently to the intervention? Yes 3. How do personality factors influence procrastination? No Supporting Data
  • 18. Can GPA be a predictor of procrastination? No Supporting Data  Will the students turn essays in faster after the intervention than they did before it? Yes  Will students become more aware of their cognitive processes? Yes (M= 35.38) to (M= 38.97).
  • 19. We did not have a comparison group.  Factors could influence procrastination that were not measured.  The study is being conducted on a very select group of students.
  • 20. Possible new tools and methods for reducing procrastination in an academic setting.  Can help to reduce student anxiety and also has the potential to help the students achieve higher grades and learn more.
  • 21. Beswick, G., Rothblum, E. D. and Mann, L. (1988), Psychological antecedents of student procrastination. Australian Psychologist, 23, 207–217.  Ferrari, J. R., Johnson, J., & McCown, W. G. (1995). Procrastination and task avoidance: Theory, research, and treatment. New York: Plenum Press.  Rothblum, E., D.; Solomon, L., J.; Murakami, J. (1986). Affective, cognitive, and behavioral differences between high and low procrastinators. Journal of Counseling Psychology, 33(4), 387-394.  Schouwenberg, H.C., & Lay, C. L. (1995). Trait procrastination and the big five factors of personality. Personality and Individual Differences, 18, 481-490.  Watson, D.C. (2001). Procrastination and the five-factor model: A facet level analysis. Personality and Individual Differences, 30, 149-158.  Zimbardo, P. G. & Boyd, J. N. (1999). Putting Time in Perspective: A Valid, Reliable Individual-Differences Metric. Journal of Personality & Social Psychology, 77(6), 1271-1288.
  • 22. The authors would like to thank Dr. Dawn Blasko, our faculty advisor, for her guidance and support throughout the research process, along with Dr. Robert W. Light, Senior Associate Dean, for his financial support through the grant program at Penn State Behrend.