Movatterモバイル変換


[0]ホーム

URL:


Jump to content
WikipediaThe Free Encyclopedia
Search

Talk:Annoyance factor

Page contents not supported in other languages.
From Wikipedia, the free encyclopedia
This is thetalk page for discussing improvements to theAnnoyance factor article.
This isnot a forum for general discussion of the subject of the article.
Find sources: Google (books ·news ·scholar ·free images ·WP refs·FENS ·JSTOR ·TWL
This article is ratedStart-class on Wikipedia'scontent assessment scale.
It is of interest to the followingWikiProjects:
WikiProject iconMarketing & AdvertisingLow‑importance
WikiProject iconThis article is within the scope ofWikiProject Marketing & Advertising, a collaborative effort to improve the coverage ofMarketing on Wikipedia. If you would like to participate, please visit the project page, where you can jointhe discussion and see a list of open tasks.Marketing & AdvertisingWikipedia:WikiProject Marketing & AdvertisingTemplate:WikiProject Marketing & AdvertisingMarketing & Advertising
LowThis article has been rated asLow-importance on theimportance scale.
Tip: Anchors arecase-sensitive in most browsers.

This article containsbroken links to one or more targetanchors:

  • [[Dramatic structure#Rising action|rising action]] The anchor (#Rising action) has beendeleted by other users before.

The anchors may have been removed, renamed, or are no longer valid. Please fix them by following the link above, checking thepage history of the target pages, or updating the links.

Remove this template after the problem is fixed |Report an error

Analysis exhibit involving annoyance factor

[edit]

Factor analysis of perceptual items and attitude measures in online advertising:

I put this here with the hope that someone might artfully explain it in laymen language for possible inclusion in the article.

("The Function of Format: Consumer Responses to Six On-Line Advertising Formats," by Kelli S. Burns, PhD, and Richard J. Lutz, PhD,Journal of Advertising, Vol. 35, No. 1, Spring 2006, pps. 53–63;OCLC 4646618174;ISSN 0091-3367; accessibleviaJSTOR atwww.jstor.org/stable/20460712)

Academicians Kelli S. Burns, PhD, and Richard J. Lutz, PhD, surveyed online users in 2002. In doing so, they chose sixonline ad formats: (i)banners, (ii)pop-ups, (iii)floating ads, (iv)skyscrapers, (v)large rectangles, and (vi)interstitials.

To developperceptual factors, ratings of the 15 perceptual items for all six on-line ad formats were run throughprincipal components analysis withvarimax rotation. The authors inferred – from ascree plot – a possible three-factor solution. The first three factors accounted for over 68% of thetotal variance. The remaining 12 reflected no more than 5% of thevariance, each. Table 1, below, produced by Burns and Lutz, shows theloadings of the factors generated throughprincipal component extraction andvarimax rotation.

Table 1
Summary of Factor Loadings for theRotated Three-Factor Solution for Perceptual Items
   PerceptionFactor scores
Factor I
entertainment
Factor II
annoyance
Factor III
information
1)     Innovative0.81(0.01)0.07
2)     Different0.75(0.01)(0.06)
3)     Entertaining0.75(0.27)0.14
4)     Sophisticated0.72(0.07)0.22
5)     Amusing0.71(0.34)0.11
6)     Elaborate0.700.240.17
7)     Eye-catching0.700.240.17
8)     Attractive0.64(0.37)0.32
9)     Disruptive(0.04)0.89(0.21)
10)     Intrusive0.060.87(0.14)
11)     Overbearing(0.03)0.86(0.23)
12)     Annoying(0.12)0.85(0.25)
13)     Informative0.08(0.23)0.84
14)     Useful0.29(0.37)0.74
15)     Beneficial0.35(0.45)0.65
          (2002)    Green boldface data indicate items loading on each factor


Table 2
Mean Scores for Perceptual Factor Indices (with Coefficient) for Each On-line Ad Format
BannerPop-upSkyscraperLarge rectangleFloatingInterstitial
Attituden = 102n = 102n = 97n = 117n = 76n = 81
Entertainment
    M2.872.943.203.194.013.51
    SD0.590.810.600.680.560.72
    0.790.890.830.870.780.89
Annoyance
    M2.954.192.232.963.693.18
    SD0.950.900.700.961.001.09
    0.850.840.880.900.940.95
Information
    M3.112.583.593.472.873.17
    SD0.890.850.720.720.880.79
    0.820.810.850.810.790.78
          (2002)     Note: 1 = strongly disagree; 5 = strongly agree


Table 3
Mean Scores for Attitude Indices (with) for Each On-line Ad Format
BannerPop-upSkyscraperLarge rectangleFloatingInterstitial
Attituden = 102n = 102n = 97n = 117n = 76n = 81
Aad      
    M3.422.864.053.903.403.53
    SD0.881.190.870.831.351.19
    0.860.940.940.890.960.95
Aformat
    M3.251.853.833.363.073.29
    SD1.001.070.820.921.411.06
    0.920.950.920.920.970.95
          (2002)


Table 4
Regression Results (β Weights andR2) for Predictors ofAformat for All Formats
BannerPop-upSkyscraperLarge rectangleFloatingInterstitial
    Entertainment factor0.23*0.23*0.42**0.37**0.30**0.33**
    Annoyance factor(0.42)**(0.42)**(0.42)**(0.47)**(0.60)**(0.51)**
    Information factor0.24*0.24*0.110.120.120.31**
    AdjustedR20.44**0.44**0.53**0.63**0.69**0.80**
     *p < 0.05
     **p < 0.01
          (2002)


Table 5
Regression Results (β Weights andR2) forAformat for All Formats
BannerPop-upSkyscraperLarge rectangleFloatingInterstitial
    Attitude towards format0.39**0.56**0.68**0.75**0.81**0.86**
    AdjustedR20.14**0.30**0.45**0.56**0.66**0.74**
     *p < 0.05
     **p < 0.01
          (2002)


Table 6
Regression Results (β Weights andR2) for Predictors ofAformat for All Formats
BannerPop-upSkyscraperLarge rectangleFloatingInterstitial
w/owithw/owithw/owithw/owithw/owithw/owith
    Entertainment factor0.31**0.27*0.53**0.46**0.36**0.140.27**0.040.28**0.090.32**0.08
    Annoyance factor(0.07)0.00(0.16)(0.05)(0.18)0.05(0.29)**(0.01)(0.39)**(0.02)(0.54)**(0.17)
    Information factor0.25*0.210.03(0.03)0.23*0.180.25**0.18*0.26*0.19*0.18(0.04)
    A format0.160.27*0.52*0.62**0.63**0.72**
    AdjustedR20.250.250.390.420.370.490.440.570.560.680.640.74
     *p < 0.05
     **p < 0.01
    ***All significant,p < .01
          (2002)


Table 7
Percentage of Respondents Reporting Ad-Related Behaviors and
Attitude-Behavior Correlations for Each On-line Ad Format
BannerPop-upSkyscraperLarge rectangleFloatingInterstitial
n = 102n = 102n = 97n = 117n = 76n = 81
Behavioral measure75.537.355.740.221.124.4
    Percent clickthrough
    Percent visits later59.823.542.336.813.219.5
    Clickthrough frequency
        035.375.560.867.580.380.5
        1–248.021.629.920.515.817.1
        3 or more16.72.99.34.33.92.4
Correlation betweenA formatand ...
    Percent clickthrough0.46**0.34**0.27**0.140.29*0.27*
    Percent visits later0.31**0.26**0.21*0.080.210.33**
    Clickthrough frequency0.38**0.42**0.140.160.27*0.23*
    Behavioral index0.46**0.42**0.25*0.160.28*0.33**
     *p < 0.05
     **p < 0.01
          (2002)
Retrieved from "https://en.wikipedia.org/w/index.php?title=Talk:Annoyance_factor&oldid=1253031863"
Categories:
Hidden category:

[8]ページ先頭

©2009-2025 Movatter.jp