기획논문 : <홍보학연구> 통계분석방법의 경향과 과제: 1998년 창간호부터 2014년 여름호까지 게재된 논문의 내용분석

' 기획논문 : <홍보학연구> 통계분석방법의 경향과 과제: 1998년 창간호부터 2014년 여름호까지 게재된 논문의 내용분석' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • content analysis
  • koreanprresearch
  • public relations
  • statistical method
  • 내용 분석
  • 통계분석방법
  • 한국pr학회
  • 홍보학연구
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,337 0

0.0%

' 기획논문 : <홍보학연구> 통계분석방법의 경향과 과제: 1998년 창간호부터 2014년 여름호까지 게재된 논문의 내용분석' 의 참고문헌

  • 한국과 미국의 PR 연구 경향 분석『홍보학연구』와 JPRR 게재 논문에 대한 언어 네트워크 분석을 중심으로
    김수연 홍보학연구 17 (3) : 120 ~ 153 [2013]
  • 탐색적 요인분석 사용의 적절성 검토: ‘마케팅연구’1986년 ~ 2006년
    조은성 마케팅연구 22 (3) : 179 ~ 208 [2007]
  • 치의학 연구에서 귀무가설 유의성 검정의 문제점과 대안에 관한 고찰
    이광희 대한소아치과학회지 40 (3) : 223 ~ 232 [2013]
  • 제1세대 피알연구의 형식과 구조 변화 - 3대 전문학술지 연구사 10년, 1997∼2006
    조정열 광고연구 89 (89) : 5 ~ 37 [2011]
  • 우리나라 PR 논문의 학문적 경향에 대한 비판적 고찰
    이현우 한국광고홍보학보 5 (1) : 167 ~ 191 [2003]
  • 우리나라 PR 논문의 연구 경향에 대한 분석: 2001년~2005년을 중심으로
    권영순 한국광고홍보학보 9 (2) : 244 ~ 276 [2007]
  • 국가 정책홍보의 커뮤니케이션 전략 탐색연구-공중관계 커뮤니케이션의 문제점과 개선방안을 중심으로
    이두원 커뮤니케이션학 연구 13 (1) : 182 ~ 211 [2005]
  • ≪홍보학연구≫의 홍보학 연구 연구사 10년, 1997∼2006
    조정열 홍보학연구 12 (2) : 5 ~ 43 [2008]
  • “Mainstreaming” content analysis in social science: Methodological advantages, obstacles, and solutions
    Woodrum, E. Social Science Research 13 : 1 ~ 19 [1984]
  • What if there were no significance tests
    Schmidt, F. L. Psychology Press : 37 ~ 64 [1997]
  • What future quantitative social science research could look like : Confidence intervals for effect sizes
    Thompson, B. Educational Researcher 31 (3) : 25 ~ 32 [2002]
  • Use of exploratory factor analysis in published research: Common errors and some comment on improved practice
    Hensen, R. K. Educational and Psychological Measurement 66 (3) : 393 ~ 416 [2006]
  • Understanding a widely misunderstood statistic: Cronbach’s α
    Ritter, N. L. Paper presented at the annual meeting of the Southwest Educational Research Association [2010]
  • The test of significance in psychological research
    Bakan, D. Psychological Bulletin 66 : 1 ~ 29 [1966]
  • The problem of using structural equation model(SEM)in communication research
    Kang, N. J. Korean Journal of Journalism & Communication Studies 44 (1) : 5 ~ 51 [1999]
  • The earth is round (p < .05)
    Cohen, J. American Psychologist 49 (12) : 997 ~ 1103 [1994]
  • Structural equation modeling in practice, A review and recommended two-step approach
    Anderson, J. C. Psychological Bulletin 10 : 411 ~ 423 [1988]
  • Structural Equation Modeling in the Communication Sciences, 1995–2000
    Holbert, R. L. Human Communication Research 28 (4) : 531 ~ 551 [2002]
  • Structural Equation Modeling
    Chou, C. P. Sage : 37 ~ 59 [1995]
  • Statistical methods in psychology journals: Guidelines and explanations
    Wilkinson, L. American psychologist 54 (8) : 594 ~ 604 [1999]
  • Statistical analysis and the illusion of objectivity
    Berger, J. O. American Scientist 76 : 159 ~ 165 [1988]
  • Sample Size Effects on Chi-square and other Statistics used in Evaluating Causal Models
    Bearden, W. O. Journal of Marketing Research 19 : 425 ~ 430 [1982]
  • Research methodology in management : Current practices, trends, and implications for future research
    Scandura, T. A. Academy of Management Journal 43 (6) : 1248 ~ 1264 [2000]
  • Reporting standards for research publications
    Elmore, P. B. Outcome Research Design 1 : 19 ~ 29 [2010]
  • Reporting analyses of covariance structures
    Boomsma, A. Structural Equation Modeling 7 : 461 ~ 483 [2000]
  • Principles and practice of structural equation modeling
    Kline, R. B. The Guilford Press [2005]
  • Practice of factor analysis in Korean academic journals
    Lee, S. M. Korean Journal of Industrial and Organizational Psychology 7 (1) : 1 ~ 27 [1994]
  • On making progress in communication science
    Boster, F. J. Human Communication Research 28 (4) : 473 ~ 490 [2002]
  • Null hypothesis significance testing : a review of an old and continuing controversy
    Nickerson, R. S. Psychological Methods 5 (2) : 241 ~ 301 [2000]
  • Multivariate techniques in human communication research
    Cappella, J. N. Academic : 57 ~ 110 [1975]
  • Multicollinearity in regression analysis : The problem revisited?
    Farrar, D. E. The Review of Economic and Statistics 49 : 92 ~ 107 [1967]
  • Judgment calls in research
    McGrath, J. E. Sage Publications : 69 ~ 102 [1982]
  • Is really structural equation modeling the most powerful tool to general users? : Critique of a paper employed LISREL and its corrections
    Rhee, K. J. Journal of Educational Evaluation 9 (2) : 43 ~ 58 [1996]
  • Guidelines for statistical reporting in articles for medical journals amplifications and explanations
    Bailar, J. C. Annals of Internal Medicine 108 (2) : 266 ~ 273 [1988]
  • Four assumptions of multiple regression that researchers should always test?, Practical Assessment
    Osborne, J. Research & Evaluation 8 : 1 ~ 9 [2002]
  • Evaluating the use of exploratory factor analysis in psychological research
    Fabrigar, L. R. Psychological Methods 4 (3) : 272 ~ 299 [1999]
  • Essentials of debate
    Pelsma, J. R. Thomas Y. Crowell Company [1937]
  • Effects of nonnormal data on parameter estimates and fit indices for a model with latent and manifest variables : An empirical study
    Wang, L. Structural Equation Modeling : A Multidisciplinary Journal 3 : 228 ~ 247 [1996]
  • Effects of estimation methods, number indicators per factor, and improper solutions on structural equation modeling fit indices
    Ding, L. Structural Equation Modeling 2 : 119 ~ 144 [1995]
  • Effect sizes : Pearson’s correlation, its display via the BESD, and alternative indices
    Rosenthal, R. American Psychologist 46 : 1086 ~ 1087 [1991]
  • Editorial
    Trafimow, D. Basic and Applied Social Psychology 37 (1) : 1 ~ 2 [2015]
  • Criticism and the growth of scientific knowledge
    Lakatos, I. Cambridge University Press [1970]
  • Applications of structural equation modeling in psychological research
    MacCallum, R. C. Annual Review of Psychology 15 (1) : 201 ~ 226 [2000]
  • Applications of structural equation modeling in marketing and consumer research: a review
    Baumgartner, H. International Journal of Research in Marketing 13 : 139 ~ 161 [1996]