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minimum fit function chi-square (cmin)  (CH Instruments)

 
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    CH Instruments minimum fit function chi-square (cmin)
    Minimum Fit Function Chi Square (Cmin), supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/chi-square+function/minimum+fit+function+chi+square/pm39939182-117-9-12
    Average 90 stars, based on 1 article reviews
    minimum fit function chi-square (cmin) - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Reliability and validity of the Repeatable Battery for the Assessment of Neuropsychological Status in community-dwelling elderly
    Article Snippet: The confirmatory analysis model tests the goodness of fit of the empirical data from the Chinese sample to the assumed structure of the instrument. χ 2 (Minimum Fit Function Chi-Square)/df (degrees of freedom)=3.15, GFI (goodness of fit index)=0.91, CFI (Comparative Fit Index)=0.95, IFI (Incremental Fit Index)=0.95, RMSEA (Root Mean Square Error of Approximation)=0.095, NNFI (Non-Normed Fit Index)=0.93.

    Article Title: Validation of a Self-Perception Voice Protocol for Trans Women: Trans Woman Voice Questionnaire.
    Article Snippet: Objective.. To validate the Trans Woman Voice Questionnaire (TWVQ) in Brazilian Portuguese for measuring vocal self-perception in transgender women.. Method.

    Article Title: Mediating effects of trust, communication, and collaboration on teacher professional learning in Hong Kong primary schools
    Article Snippet: Mediating effects of trust, communication, and collaboration on teacher professional learning in Hong Kong primary schools Lijuan Li, Philip Hallinger, Kerry John Kennedy & Allan Walker To cite this article: Lijuan Li, Philip Hallinger, Kerry John Kennedy & Allan Walker (2016): Mediating effects of trust, communication, and collaboration on teacher professional learning in Hong Kong primary schools, International Journal of Leadership in Education, DOI: 10.1080/13603124.2016.1139188 To link to this article: http://dx.doi.org/10.1080/13603124.2016.1139188

    Article Title: Discouraging Instructional Dissent and Facilitating Students' Learning Experiences Through Instructor Self-Disclosure
    Article Snippet: Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform.. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content.. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis.



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    Spine classes are inhomogeneously distributed on the dendrites. (a) Spines were categorized into four classes by hierarchical clustering of shape and length: upper panels—individual diameter profiles (gray) and average profile of each class (green). The total lengths of the profiles were scaled to the average spine length of the respective class; lower panels—representative spine examples. Scale bars, 1 μ m . (b) Relative abundance of each spine class on the dendrites, the distribution differs among dendrites. Numbers 1 to 4 refer to the four neurons, letters to the dendrites (see <xref ref-type=Fig. 1 ). Color code as in panel (a). (c) Pie charts showing which fraction of a specific spine class is found on each dendrite. (d) Pairwise Pearson’s chi-square tests confirm significant differences among the repartition of the classes on the dendrites within three of the four neurons. p values color coded: p ≤ 0.05 red, p ≤ 0.01 yellow, p ≤ 0.001 green, and p > 0.05 blue. All tests have been corrected for multiple comparisons. (e) Pairwise Pearson’s chi-square tests for all dendrites of all cells. " width="250" height="auto" />
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    Spine classes are inhomogeneously distributed on the dendrites. (a) Spines were categorized into four classes by hierarchical clustering of shape and length: upper panels—individual diameter profiles (gray) and average profile of each class (green). The total lengths of the profiles were scaled to the average spine length of the respective class; lower panels—representative spine examples. Scale bars, 1 μ m . (b) Relative abundance of each spine class on the dendrites, the distribution differs among dendrites. Numbers 1 to 4 refer to the four neurons, letters to the dendrites (see <xref ref-type=Fig. 1 ). Color code as in panel (a). (c) Pie charts showing which fraction of a specific spine class is found on each dendrite. (d) Pairwise Pearson’s chi-square tests confirm significant differences among the repartition of the classes on the dendrites within three of the four neurons. p values color coded: p ≤ 0.05 red, p ≤ 0.01 yellow, p ≤ 0.001 green, and p > 0.05 blue. All tests have been corrected for multiple comparisons. (e) Pairwise Pearson’s chi-square tests for all dendrites of all cells. " width="250" height="auto" />
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    Spine classes are inhomogeneously distributed on the dendrites. (a) Spines were categorized into four classes by hierarchical clustering of shape and length: upper panels—individual diameter profiles (gray) and average profile of each class (green). The total lengths of the profiles were scaled to the average spine length of the respective class; lower panels—representative spine examples. Scale bars, 1 μ m . (b) Relative abundance of each spine class on the dendrites, the distribution differs among dendrites. Numbers 1 to 4 refer to the four neurons, letters to the dendrites (see <xref ref-type=Fig. 1 ). Color code as in panel (a). (c) Pie charts showing which fraction of a specific spine class is found on each dendrite. (d) Pairwise Pearson’s chi-square tests confirm significant differences among the repartition of the classes on the dendrites within three of the four neurons. p values color coded: p ≤ 0.05 red, p ≤ 0.01 yellow, p ≤ 0.001 green, and p > 0.05 blue. All tests have been corrected for multiple comparisons. (e) Pairwise Pearson’s chi-square tests for all dendrites of all cells. " width="100%" height="100%">

    Journal: Neurophotonics

    Article Title: Distribution of spine classes shows intra-neuronal dendritic heterogeneity in mouse cortex

    doi: 10.1117/1.NPh.12.1.015001

    Figure Lengend Snippet: Spine classes are inhomogeneously distributed on the dendrites. (a) Spines were categorized into four classes by hierarchical clustering of shape and length: upper panels—individual diameter profiles (gray) and average profile of each class (green). The total lengths of the profiles were scaled to the average spine length of the respective class; lower panels—representative spine examples. Scale bars, 1 μ m . (b) Relative abundance of each spine class on the dendrites, the distribution differs among dendrites. Numbers 1 to 4 refer to the four neurons, letters to the dendrites (see Fig. 1 ). Color code as in panel (a). (c) Pie charts showing which fraction of a specific spine class is found on each dendrite. (d) Pairwise Pearson’s chi-square tests confirm significant differences among the repartition of the classes on the dendrites within three of the four neurons. p values color coded: p ≤ 0.05 red, p ≤ 0.01 yellow, p ≤ 0.001 green, and p > 0.05 blue. All tests have been corrected for multiple comparisons. (e) Pairwise Pearson’s chi-square tests for all dendrites of all cells.

    Article Snippet: We used Pearson’s chi-square test (Matlab’s function crosstab) to test for significant differences in class distribution on dendrites ( ) with a 5% significance level and corrected for multiple comparisons with the Bonferroni correction.

    Techniques: