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This section is divided into five subsections, which are descriptive statistical analysis, measurement model analysis, structural model analysis, hypotheses analysis, and model comparison.
This methodology minimises the publication and selection bias often associated with a retrospective meta-analysis by allowing hypotheses, analysis methods and selection criteria to be specified a priori.
When the degree of measurement directness is low, conclusions derived from the gleaned data often differ depending on the formulation of hypotheses, analysis models, and the data interpretation.
Moreover, multiple hypotheses analysis indicates that a model in which the maximal transcription rate is gene-specific and Kd is identical for all the genes performs better than a model where Kd is gene-specific and the maximal transcription rate is constant (see Nodal signaling modeling section in 'Materials and methods').
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The study of the educational differences has been mainly associated with the hypothesis analysis (Ares, 1999; Díaz & de la Fuente, 2004), but this statistical approach generates numerous problems.
In next step, fuzzy hypothesis analysis is performed on conclusions of the decision makers for comparison of all alternatives for each attribute.
Results: In contrast to the initial hypothesis, analysis revealed that rural Iranian women have a more negative attitude towards menopause than urban Iranian women.
In support of this hypothesis, analysis of CCT substrates in S. cerevisiae has revealed several chromatin remodelling complexes and furthermore CCT is known to have a high affinity for the β-propeller fold adopted by WD repeats [22].
For the second hypothesis: Analysis of scale psychometric properties.
CC contributed to the conception of the hypothesis, analysis and write-up.
To substantiate this hypothesis, analysis of longitudinal samples on a larger cohort will be undertaken.
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