17.08.2013 Views

dissertation in pdf-format - Aalto-yliopisto

dissertation in pdf-format - Aalto-yliopisto

dissertation in pdf-format - Aalto-yliopisto

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

38 T. Heimonen and M. Virtanen<br />

Appendix 1<br />

Table A1 Characteristics of different methods<br />

Statistical<br />

method<br />

Assumptions and<br />

modell<strong>in</strong>g criteria<br />

Evaluation<br />

criteria<br />

Challenges <strong>in</strong><br />

<strong>in</strong>terpretation<br />

Regression analysis (RA)<br />

Dependent L<strong>in</strong>earity The fit of the model Model specification<br />

variable<br />

Normality of<br />

Explanatory power Characteristics of<br />

distribution of error<br />

entrepreneurial<br />

term<br />

market:<br />

Log growth Homoskedasticy Confidence <strong>in</strong>terval Discont<strong>in</strong>uity and<br />

unstability<br />

Success Equality of variances Multicoll<strong>in</strong>earity Change and dynamism<br />

Least square<br />

S<strong>in</strong>gularity Operationalisation of<br />

modell<strong>in</strong>g<br />

variables<br />

Logistical regression (LRA)<br />

Dependent<br />

variable<br />

comb<strong>in</strong>ed<br />

growth and<br />

success<br />

Degrees of freedom Measurement<br />

Log l<strong>in</strong>earity A priori probability<br />

distribution<br />

Model specification<br />

The fit of the model Classification and<br />

estimation<br />

Normality of<br />

distribution of error<br />

term<br />

Equality of variances Classification<br />

statistics<br />

Power based on<br />

probabilities and odd<br />

ratios<br />

Operationalisation of<br />

variables<br />

HG +HS = 1 Maximum likelihood<br />

modell<strong>in</strong>g<br />

Cross validation Measurement<br />

NHG + NHS = 0 Degrees of freedom Interpretation of<br />

coefficients<br />

Discrim<strong>in</strong>ant analysis (DA)<br />

Dependent<br />

variable<br />

comb<strong>in</strong>ed<br />

growth and<br />

success<br />

Mult<strong>in</strong>ormal<br />

population<br />

Equality of variances<br />

of groups<br />

L<strong>in</strong>ear comb<strong>in</strong>ations<br />

are compared to<br />

crossmatrix of the data<br />

HG + HS = 1 The amount of<br />

discrim<strong>in</strong>ant function<br />

(the amount of<br />

groups – 1)<br />

A priori probability<br />

distribution<br />

Canonical<br />

discrim<strong>in</strong>ant<br />

function<br />

Classification<br />

statistics<br />

The gap between<br />

centroids<br />

Model specification<br />

Classification and<br />

estimation<br />

Power based on<br />

discrim<strong>in</strong>ant function<br />

Operationalisation of<br />

variables<br />

NHG + NHS = 0 Degrees of freedom Cross validation Measurement

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!