Table 3

Results of logit regression with fixed effects

Model 1Model 2Model 3
EstimateSEEstimateSEEstimateSE
(Intercept)−0.4090.856−0.2810.864−2.1973.845
Goal−14.503***1.178−14.434***1.156−4.395***1.237
Duration−0.237***0.059−0.239***0.059−0.461***0.118
Backers7.596***0.4757.514***0.4710.570***0.138
Readability0.316**0.099−0.3090.189−2.852***0.650
Hemmingway App Score0.151**0.051−0.1230.088−1.473***0.273
Environmental Value Orientation0.0730.0800.0600.078−0.2840.273
Social Value Orientation0.0530.0820.0270.085−0.1780.197
Tone Positivity−0.0210.095−0.0780.105−0.2560.301
Tone Negativity−0.0980.080−0.1270.0810.359′0.189
Information Volume  1.578***0.4017.043***1.127
Information Volume Squared  −0.912***0.262−4.527***0.710
Operational Transparency    −0.1860.179
Perceived Project Authenticity    0.363′0.190
Perceived Product Quality    −0.2100.343
Crowdfunding Experience    −5.078***0.287
Operational Transparency * Total Info    −0.932**0.349
Operational Transparency * Total Info * Total Info    1.127***0.322
Perceived Project Authenticity * Total Info    1.333**0.445
Perceived Project Authenticity * Total Info * Total Info    −1.318**0.422
Perceived Product Quality * Total Info    1.184***0.330
Perceived Product Quality * Total Info * Total Info    −1.027***0.261
Crowdfunding Experience * Total Info    −6.756***0.540
Crowdfunding Experience * Total Info * Total Info    7.085***0.547
Year Fixed EffectsYes Yes Yes 
Category Fixed EffectsYes Yes Yes 
Akaike information criterion (AIC)2240 2230.5 544.3 
Pseudo R-Squared0.375 0.378 0.669 
Null deviance3482.2 on 2680 df3482.2 on 2680 df3482.2 on 2680 df
Residual deviance2178.0 on 2650 df2164.5 on 2648 df454.3 on 2636 df
Fisher Score Iteration25259
Model Wald Chi-squareχ2 = 285.5***(df = 3, p < 0.001)χ2 = 288.7***(df = 3, p < 0.001)χ2 = 36.2***(df = 3, p < 0.001)

Note(s): Significance codes: 0 “***” 0.001 “**” 0.01 “*” 0.05 “'” 0.1 “ ” 1; SE = Standard Error

Source(s): Results from the authors’ own analyses

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