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HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION

Year 2016, Volume: 9 Issue: 1, 0 - 0, 15.06.2016

Namık Top , Mehmet Ören

Abstract

References

  • REFERENCES
  • BAKAN, D. (1966). The test of significance in psychological research. Psychological Bulletin, 66, 423-37.
  • CARVER, R. (1978). The case against statistical significance testing. Harvard Educational Review, 48, 378-399.
  • COHEN. J. (1965). Some statistical issues in psychological research. In B. B. Wolman (Ed.). Handbook of clinical psychology (pp. 95-121). New York: McGraw-Hill.
  • CORTINA, J. M., & Landis, R. S. 2011. The Earth is not round (p = .00). Organizational Research Methods, 14, 332-349.
  • DUHACKEK, A., & IACOBUCCI, D. (2004). Alpha's standard error (ASE): An accurate and precise confidence interval estimate. Journal of Applied Psychology, 89, 792-808.
  • FIELD A. (2009). Discovering statistics using SPSS. London: Sage.
  • FISHER, R. A. (1935). The design of experiments. New York: Hafner.
  • JOSEPH, L., & REINHOLD, C. (2003). Introduction to probability theory and sampling distributions. American Journal of Roentgenology, 180, 917-923.
  • KIRK, R.E. (1996). Practical significance: A concept whose time has come. Educational and Psychological Measurement, 56, 746-759.
  • LOFTUS, G. R., & Loftus, E. F. (1982). Essence of statistics. Monterey, CA: Brooks/Cole.
  • MEEHL, P.E. (1978). Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology. Journal of Consulting and Clinical Psychology, 46, 806-834.
  • MORRISON, D. E., & Henkel, R. E. (Eds.). (1970). The significance test controversy: A reader. Chicago: Aldine.
  • NICKERSON, R.S. (2000). Null hypothesis significance testing: A review of an old and continuing controversy. Psychological Methods, 5, 241-301.
  • PACHLER, N., BACHMAIR, B. & COOK, J. (2009) Mobile learning: structures, agency, practices (pp. 3-26). Springer, New York.
  • RESTORE. (2011, July 21). Using statistical regression methods in education research. Retrieved November 15, 2015, from http://www.restore.ac.uk/srme/www/fac/soc/wie/research new/srme/modules/mod1/9/index.html
  • ROZEBOOM, W. W. (1997). Good science is abductive, not hypothetico-deductive. In L. L. Harlow, S. A. Mulaik, & J. H. Steiger (Eds.), What if there were no significance tests? (pp. 335-391). Hillsdale, NJ: Erlbaum.
  • THOMPSON, B. (1993). The use of statistical significance tests in research: Bootstrap and other alternatives. Journal of Experimental Education, 61, 361-377.
  • THOMPSON, B. (1996). AERA editorial policies regarding statistical significance testing: Three suggested reforms. Educational Researcher, 25, 26-30.
  • THOMPSON, B. (1999a). If statistical significance tests are broken/misused, what practices should supplement or replace them? Theory & Psychology, 9, 165-181. [Invited address presented at the 1997 annual meeting of the American Psychological Association, Chicago.]
  • THOMPSON, B. (1999b). Journal editorial policies regarding statistical significance tests: Heat is to fire as p is to importance. Educational Psychology Review, 11, 157-169.
  • THOMPSON, B. (2008). Foundations of behavioral statistics: An insight-based approach. New York: Guilford.
  • TUKEY, J. W. (1991). The philosophy of multiple comparisons. Statistical Science, 6, 100-116. Retrieved Februay 12, 2016, from http://www.restore.ac.uk/srme/www/fac/soc/wie/research new/srme/modules/mod1/9/index.html.

Year 2016, Volume: 9 Issue: 1, 0 - 0, 15.06.2016

Namık Top , Mehmet Ören

Abstract

Null hypothesis statistical significance testing (NHST) is a vital, frequently utilized, but contentious topic in the field of statistics. Applying statistics to a problem, it is necessary to comprehend NHST and the sampling distribution. Another crucial topic, which is related to NHST and the sampling distribution, is the standard error­­, a standard deviation-form function obtained from the sampling distribution.  This paper provides an outline of these important concepts to help students understand and ponder these concepts logically. This paper also offers a new mobile application to teach understandably the influences of various parameters and statistics on sampling distribution and standard error.

References

  • REFERENCES
  • BAKAN, D. (1966). The test of significance in psychological research. Psychological Bulletin, 66, 423-37.
  • CARVER, R. (1978). The case against statistical significance testing. Harvard Educational Review, 48, 378-399.
  • COHEN. J. (1965). Some statistical issues in psychological research. In B. B. Wolman (Ed.). Handbook of clinical psychology (pp. 95-121). New York: McGraw-Hill.
  • CORTINA, J. M., & Landis, R. S. 2011. The Earth is not round (p = .00). Organizational Research Methods, 14, 332-349.
  • DUHACKEK, A., & IACOBUCCI, D. (2004). Alpha's standard error (ASE): An accurate and precise confidence interval estimate. Journal of Applied Psychology, 89, 792-808.
  • FIELD A. (2009). Discovering statistics using SPSS. London: Sage.
  • FISHER, R. A. (1935). The design of experiments. New York: Hafner.
  • JOSEPH, L., & REINHOLD, C. (2003). Introduction to probability theory and sampling distributions. American Journal of Roentgenology, 180, 917-923.
  • KIRK, R.E. (1996). Practical significance: A concept whose time has come. Educational and Psychological Measurement, 56, 746-759.
  • LOFTUS, G. R., & Loftus, E. F. (1982). Essence of statistics. Monterey, CA: Brooks/Cole.
  • MEEHL, P.E. (1978). Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology. Journal of Consulting and Clinical Psychology, 46, 806-834.
  • MORRISON, D. E., & Henkel, R. E. (Eds.). (1970). The significance test controversy: A reader. Chicago: Aldine.
  • NICKERSON, R.S. (2000). Null hypothesis significance testing: A review of an old and continuing controversy. Psychological Methods, 5, 241-301.
  • PACHLER, N., BACHMAIR, B. & COOK, J. (2009) Mobile learning: structures, agency, practices (pp. 3-26). Springer, New York.
  • RESTORE. (2011, July 21). Using statistical regression methods in education research. Retrieved November 15, 2015, from http://www.restore.ac.uk/srme/www/fac/soc/wie/research new/srme/modules/mod1/9/index.html
  • ROZEBOOM, W. W. (1997). Good science is abductive, not hypothetico-deductive. In L. L. Harlow, S. A. Mulaik, & J. H. Steiger (Eds.), What if there were no significance tests? (pp. 335-391). Hillsdale, NJ: Erlbaum.
  • THOMPSON, B. (1993). The use of statistical significance tests in research: Bootstrap and other alternatives. Journal of Experimental Education, 61, 361-377.
  • THOMPSON, B. (1996). AERA editorial policies regarding statistical significance testing: Three suggested reforms. Educational Researcher, 25, 26-30.
  • THOMPSON, B. (1999a). If statistical significance tests are broken/misused, what practices should supplement or replace them? Theory & Psychology, 9, 165-181. [Invited address presented at the 1997 annual meeting of the American Psychological Association, Chicago.]
  • THOMPSON, B. (1999b). Journal editorial policies regarding statistical significance tests: Heat is to fire as p is to importance. Educational Psychology Review, 11, 157-169.
  • THOMPSON, B. (2008). Foundations of behavioral statistics: An insight-based approach. New York: Guilford.
  • TUKEY, J. W. (1991). The philosophy of multiple comparisons. Statistical Science, 6, 100-116. Retrieved Februay 12, 2016, from http://www.restore.ac.uk/srme/www/fac/soc/wie/research new/srme/modules/mod1/9/index.html.
There are 23 citations in total.

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Journal Section Articles
Authors

Namık Top

Mehmet Ören This is me

Publication Date June 15, 2016
Published in Issue Year 2016 Volume: 9 Issue: 1

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APA Top, N., & Ören, M. (2016). HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION. Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(1). https://doi.org/10.17218/husbed.64530
AMA Top N, Ören M. HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION. hititsosbil. June 2016;9(1). doi:10.17218/husbed.64530
Chicago Top, Namık, and Mehmet Ören. “HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION”. Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 9, no. 1 (June 2016). https://doi.org/10.17218/husbed.64530.
EndNote Top N, Ören M (June 1, 2016) HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION. Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 9 1
IEEE N. Top and M. Ören, “HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION”, hititsosbil, vol. 9, no. 1, 2016, doi: 10.17218/husbed.64530.
ISNAD Top, Namık - Ören, Mehmet. “HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION”. Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 9/1 (June 2016). https://doi.org/10.17218/husbed.64530.
JAMA Top N, Ören M. HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION. hititsosbil. 2016;9. doi:10.17218/husbed.64530.
MLA Top, Namık and Mehmet Ören. “HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION”. Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, vol. 9, no. 1, 2016, doi:10.17218/husbed.64530.
Vancouver Top N, Ören M. HOW AND WHY WE NEED TO TEACH STANDARDERROR: TEACHING STANDARD ERROR AS A PRIMER ON THE SAMPLING DISTRIBUTION WITH A NEW MOBILE APPLICATION. hititsosbil. 2016;9(1).