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題名:網路問卷與傳統問卷之比較:多樣本均等性方法學之應用
書刊名:測驗學刊
作者:游森期 引用關係余民寧 引用關係
作者(外文):Yu, Sen-chiYu, Min-ning
出版日期:2006
卷期:53:1
頁次:頁103-127
主題關鍵詞:網路問卷憂鬱結構方程式模式多樣本均等性Internet questionnaireDepressionStructural equation modelingMulti-sample invariance
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(49) 博士論文(8) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:49
  • 共同引用共同引用:78
  • 點閱點閱:403
本研究之目的在於探討網路問卷與傳統問卷所收集的資料,是否具有均等的心理計量特性。本研究以流行病學中心憂鬱量表為研究工具,臺灣地區中小學教師為研究對象,經由分層隨機抽樣,分別在高中 (職)、國中、國小,共計抽取2400位教師為樣本,並隨機分派其中的1200人為紙筆組,以郵寄的方式施以傳統問卷調查;另外1200人為網路組,郵寄邀請函邀請其上網填答問卷。本研究藉由結構方程式之多樣本均等性方法學,探討網路問卷 (網路組) 與傳統問卷 (紙筆組) 所得到的資料是否具有均等的心理計量特性。 研究結果顯示,網路問卷與傳統問卷兩組樣本之因棄結構均等性獲得支持;亦即,網路組與紙筆組在憂鬱量表上具有均等的因素負荷量、潛在因素共變數矩陣、測量誤差。在四個潛在因素 (憂鬱情緒、正向情感、身體症狀、人際問題) 的潛在平均數方面,兩組受試者在憂鬱情緒、正向情感、人際問題上無顯著差異,但在身體症狀上差異達顯著 (p<.01),但是平均數的差異只有0.19分。因此本研究除了統計顯著性檢定之外,進一步以效果量來比較兩組差異的大小,研究結果指出身體症狀之Cohen's d 統計量為.172,顯示兩組的平均數的效果量低。兩組在身體症狀的差異應該是由於樣本數龐大,而造成統計上顯著性的結果,在實務上未達實質意義的差距。 綜上所述,網路組與紙筆組因素結構均等性獲得支持,顯示出兩組在憂鬱量表中的各題,具有均等的因素架構與測量效果,並具有均等的信度與效度,可見此測量工具在不同樣本獲得交叉驗證的支持,再加上極為接近的潛在平均數,均提供網路問卷是傳統問卷可行替代方案的有力証據。因此,本研究認為網路問卷與傳統問卷所得到的資料具有相同的心理計量特性,網路問卷是傳統問卷的可行替代方案。
This study examines whether Internet questionnaires are as psychometrically invariant as traditional mailed questionnaires. A random sample of 2400 teachers in Taiwan was divided into experimental and control groups. The experimental group was asked to complete the electronic version of the CES-D (Center for Epidemiologic Studies Depression Scale) placed on the internet, whereas the control group was invited to complete the traditional paper-based CES-D. The multi-sample invariance approach derived from structural equation modeling (SEM) was applied to analyze the collected data. The analytical results show that the two groups have equivalent factor structures. That is, the two groups exhibit equal factor loadings, covariance matrix for latent factors and measurement errors. The results also show that the items in CES-D function equivalently in the two groups. That is, the instrument exhibits equal validity and reliability when administrated to the two groups. Moreover, the cross validation was also approved by the results. These findings demonstrate that the In­ternet questionnaires and traditional mailed questionnaires had equal factor structures. Given that the factor structures were found to be equivalent, the equal latent mean test was then performed. The analytical results demonstrate that the four latent means in CES­D are not totally equal between two groups. Concerning the four latent factors in CES-D, the latent means of "depressed mood", "positive affect" and "interpersonal problems" are not significantly different between these two groups. However, the difference between the "somatic symptoms" latent means of these two groups is statistically significant at α= .01. To investigate the effect size of such difference, Cohen d statistics was utilized. However, Cohen d statistics was only .172, indicating a small effect size. That is, the minor difference in somatic symptoms, 0.19 point, albeit statistically significant, does not apparently lead to meaningful clinical significances (effect size) in practice. Analytical results indicate that Internet questionnaires and traditional mailed questionnaires have equal factor structures to. Both CES-D questionnaires exhibit equal reliabi­lity, validity and factor structure, and similar latent means. In conclusion, internet questionnaires represent a promising alternative to traditional paper-based questionnaires.
期刊論文
1.Kaplowitz, M. D.、Hadlock, T. D.、Levine, R.(2004)。A Comparison of Web and Mail survey Response Rates。Public Opinion Quarterly,68(1),94-101。  new window
2.張德勝(20050600)。The Validity and Reliability of Student Ratings: Comparison between Paper-pencil and Online Survey。中華心理學刊,47(2),113-125。new window  new window
3.游森期(20030900)。臺灣地區大學生人格特質、網路成癮、憂鬱與焦慮之結構方程式模式檢定。教育與心理研究,26(3),501-525。new window  延伸查詢new window
4.Buchanan, T.、Smith, J. L.(1999)。Using the Internet for Psychological Research: Personality Testing on the World Wide Web。British Journal of Psychology,90(1),125-144。  new window
5.Cohen, Jacob(1992)。A power primer。Psychological Bulletin,112(1),155-159。  new window
6.Radloff, Lenore Sawyer(1977)。The CES-D Scale: A self-report depression scale for research in the general population。Applied Psychological Measurement,1(3),385-401。  new window
7.Hu, Li-tze、Bentler, Peter M.(1999)。Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives。Structural Equation Modeling: A Multidisciplinary Journal,6(1),1-55。  new window
8.Birnbaum, M. H.(2004)。Human Research and Data Collection Via the Internet。Annual Review of Psychology,55,803-822。  new window
9.Cheung, C. K.、Bagley, C.(1998)。Validating an American Scale in Hong Kong: The Center of Epidemiological Study Depression Scale。The Journal of Psychology,132(2),169-186。  new window
10.Couper, M. P.(2000)。Web Survey: A Review of Issue and Approaches。Public Opinion Quarterly,64(4),464-495。  new window
11.Kohurt, F. J.、Beckman, L. F.、Evans, D. A.、Coroni-Huntley, J.(1993)。Two Short Forms of the CES-D Depression Symptoms Index。Journal of Aging and Health,5,179-193。  new window
12.Riva, G.、Teruzzi, T.、Anolli, L.(2003)。The Use of the Internet in Psychological Research: Comparison of Online and Offline Questionnaires。CyberPsychology & Behavior,6(1),73-80。  new window
13.Schmidt, W. C.(1997)。World-Wide Web survey research: Benefits, potential problems, and solutions。Behavior Research Methods, Instruments, & Computers,29(2),274-279。  new window
研究報告
1.資策會(2005)。高速寬頻已為我國寬頻主流。臺北市。  延伸查詢new window
學位論文
1.游森期(2004)。Fuzzy Partial Credit Scaling: Applying Fuzzy Set Theory to Scoring Rating Scales,0。new window  new window
2.程炳林(1995)。自我調整學習的模式驗證及其教學效果之研究(博士論文)。國立臺灣師範大學,臺北市。new window  延伸查詢new window
圖書
1.Mueller, R. O.(1996)。Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS。New York, NY:Springer。  new window
2.Byrne, Barbara M.(1998)。Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming。Lawrence Erlbaum Associates。  new window
3.American Psychiatric Association(1994)。Diagnostic and Statistical Manual of Mental Disorder: DSM-IV。Washington, D.C.:American Psychiatric Association。  new window
4.Bollen, K. A.(1989)。Structural Equations with Latent Variables。New York:John Wiley & Sons。  new window
5.余民寧(2006)。潛在變項模式:SIMPLIS的應用。高等教育。  延伸查詢new window
6.邱皓政(2003)。結構方程模式--LISREL的理論、技術與應用。雙葉書廊。  延伸查詢new window
7.Jöreskog, Karl G.、Sörbom, Dag(1993)。LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language。Scientific Software International。  new window
8.黃芳銘(2002)。結構方程模式--理論與應用。臺北市:五南。  延伸查詢new window
9.Tabachnick, B. G.、Fidell, L. S.(2001)。Using multivariate statistics。Boston:Allyn and Bacon Boston。  new window
10.Alreck, P. L.、Settle, R. B.(1995)。The Survey Research Handbook。Chicago:Irwin。  new window
11.Marsh, D.(1982)。The Survey Method。The Survey Method。London, UK。  new window
12.Dillman, D.(2000)。Mail and Telephone Surveys: The Total Design Method。Mail and Telephone Surveys: The Total Design Method。New York。  new window
其他
1.World Health Organization(20070201)。What is depression,http://www.who.int/mental_health/management/depression/definition/en/。  new window
2.Thalheimer, W.,Cook, S.(2002)。How to Calculate Effect Sizes from Published Research Articles: A Simplified Methodology,0。  new window
圖書論文
1.Browne, Michael W.、Cudeck, Robert(1993)。Alternative ways of assessing model fit。Testing Structural Equation Models。Sage。  new window
2.Sharer, P. R.、Brennan, K. A.(1991)。Measure of Depression and Loneliness。Measures of Personality and Social Psychological Attitudes。Academic Press。  new window
 
 
 
 
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