Two-Level Factorial Design and Analysis Techniques

Escalation of commitment is a decision to increase or expand the commitment to a project or a particular investment even though the investment project or indicate failure. This research has the objective to obtain empirical evidence of the effect of adverse selection and negative framing effect on the escalation of commitment tendency. Experimental design used of this research is 2 x 2 factorial design with the instrument in the form of cases. Participants in this research were Magister ofAccounting and Magister of Management students, as a proxy manager chosen by purposive sampling technique as much as 196 participants. This research uses of two ways ANOVA analysis techniques. This research proves that adverse selection and negative framing have an influence on the propensity of escalation of commitment.

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Pengaruh Iri Hati Terhadap Munculnya Schadenfreude

IJIP : Indonesian Journal of Islamic Psychology ◽

10.18326/ijip.v1i2.285-309 ◽

2020 ◽

Vol 1 (2) ◽

pp. 285-309

Author(s):

Aufa Abdillah

Keyword(s):

Social Comparison ◽

Factorial Design ◽

Random Sampling ◽

Research Method ◽

Compound Word ◽

Correlation Technique ◽

Sampling Techniques ◽

Analysis Techniques ◽

Same Gender

AbstractSchadenfreude is a compound word of the word Schaden, which means loss, andFreude, which means joy. It shows that envy plays an important role in generatingSchadenfreude; People are pleased with the misfortune of others when thismisfortune gives them a social comparison that increases the feeling of their selfesteem or removes the basic feelingof hurtful jealousy. This research method isexperiments with factorial design. The Sampling techniques uses RandomSampling. Analysis techniques are used with the correlation technique of PearsonProduct moment. The results of this study complement these opposing findings, indicating that envy is the Schadenfreude predictor when the target has the same gender. This research was conducted at one of the universities in Salatiga.AbstrakSchadenfreude adalah kata majemuk dari kata Schaden, yang berarti kerugian,dan Freude, yang berarti sukacita. Hal tersebut menunjukkan bahwa iri hatimemainkan peran penting dalam membangkitkan Schadenfreude; orang merasasenang dengan ketidakberuntungan orang lain ketika ketidakberuntungan inimemberi mereka perbandingan sosial yang meningkatkan perasaan harga dirimereka atau menghilangkan dasar perasaan iri hati yang menyakitkan. Metodepenelitian dengan eksperimen dengan desain faktorial. Tehnik pengambilansampel menggunakan Random Sampling. Teknik analisis data yang digunakandengan tehnik korelasi Pearson Product Momen. Hasil penelitian ini melengkapitemuan-temuan yang berlawanan ini, dengan menunjukkan bahwa iri hatiadalah prediktor Schadenfreude ketika targetnya memliki gender yang sama.Penelitian ini dilakukan di salah satu universitas di Salatiga.

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Three-Level Factorial Design and Analysis Techniques

Industrial Design of Experiments ◽

10.1007/978-3-030-86267-1_5 ◽

2022 ◽

pp. 187-215

Author(s):

Sammy Shina

Keyword(s):

Factorial Design ◽

Analysis Techniques

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An example of spectrum imaging used for comparison of EELS quantitative analysis techniques on Al-Li

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010008794x ◽

1991 ◽

Vol 49 ◽

pp. 726-727

Author(s):

John A. Hunt

Keyword(s):

Quantitative Analysis ◽

Large Data ◽

Difference Spectrum ◽

Large Data Sets ◽

Foil Thickness ◽

Data Sets ◽

Analysis Techniques ◽

Spectrum Imaging ◽

Normal Spectrum ◽

Electron Energy Loss

Spectrum-imaging is a useful technique for comparing different processing methods on very large data sets which are identical for each method. This paper is concerned with comparing methods of electron energy-loss spectroscopy (EELS) quantitative analysis on the Al-Li system. The spectrum-image analyzed here was obtained from an Al-10at%Li foil aged to produce δ' precipitates that can span the foil thickness. Two 1024 channel EELS spectra offset in energy by 1 eV were recorded and stored at each pixel in the 80x80 spectrum-image (25 Mbytes). An energy range of 39-89eV (20 channels/eV) are represented. During processing the spectra are either subtracted to create an artifact corrected difference spectrum, or the energy offset is numerically removed and the spectra are added to create a normal spectrum. The spectrum-images are processed into 2D floating-point images using methods and software described in [1].

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Dissociated Σ=27 boundaries in silicon

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100105187 ◽

1988 ◽

Vol 46 ◽

pp. 624-625

Author(s):

A. Garg ◽

W.A.T. Clark ◽

J.P. Hirth

Keyword(s):

Electron Diffraction ◽

Local Minimum ◽

Boundary Energy ◽

Coincidence Site Lattice ◽

Boundary Plane ◽

Low Energy ◽

Theoretical Understanding ◽

Site Lattice ◽

Kikuchi Pattern ◽

Analysis Techniques

In the last twenty years, a significant amount of work has been done in the theoretical understanding of grain boundaries. The various proposed grain boundary models suggest the existence of coincidence site lattice (CSL) boundaries at specific misorientations where a periodic structure representing a local minimum of energy exists between the two crystals. In general, the boundary energy depends not only upon the density of CSL sites but also upon the boundary plane, so that different facets of the same boundary have different energy. Here we describe TEM observations of the dissociation of a Σ=27 boundary in silicon in order to reduce its surface energy and attain a low energy configuration.The boundary was identified as near CSL Σ=27 {255} having a misorientation of (38.7±0.2)°/[011] by standard Kikuchi pattern, electron diffraction and trace analysis techniques. Although the boundary appeared planar, in the TEM it was found to be dissociated in some regions into a Σ=3 {111} and a Σ=9 {122} boundary, as shown in Fig. 1.

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Material analysis techniques using the ion mill

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100167639 ◽

1996 ◽

Vol 54 ◽

pp. 1034-1035

Author(s):

J. P. Benedict ◽

R. M. Anderson ◽

S. J. Klepeis

Keyword(s):

Polished Surface ◽

Surface Material ◽

Analysis Techniques ◽

Material Analysis ◽

Optical Inspection ◽

Electron Microscopy Analysis ◽

Microscopy Analysis ◽

Argon Ions ◽

The Impact ◽

Scanning Electron

Ion mills equipped with flood guns can perform two important functions in material analysis; they can either remove material or deposit material. The ion mill holder shown in Fig. 1 is used to remove material from the polished surface of a sample for further optical inspection or SEM ( Scanning Electron Microscopy ) analysis. The sample is attached to a pohshing stud type SEM mount and placed in the ion mill holder with the polished surface of the sample pointing straight up, as shown in Fig 2. As the holder is rotating in the ion mill, Argon ions from the flood gun are directed down at the top of the sample. The impact of Argon ions against the surface of the sample causes some of the surface material to leave the sample at a material dependent, nonuniform rate. As a result, the polished surface will begin to develop topography during milling as fast sputtering materials leave behind depressions in the polished surface.

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Developmental Sentence Scoring

Language Speech and Hearing Services in Schools ◽

10.1044/0161-1461.1503.154 ◽

1984 ◽

Vol 15 (3) ◽

pp. 154-168 ◽

Cited By ~ 9

Author(s):

Mary Ann Lively

Keyword(s):

Expressive Language ◽

Analysis Techniques ◽

Language Analysis ◽

Scoring Errors

Developmental Sentence Scoring (DSS) is a useful procedure for quantifying thegrammatic structure of children's expressive language. Like most language analysis techniques, however, DSS requires considerable study and practice to use it correctly and efficiently. Clinicians learning DSS tend to make many scoring errors at first and they display similar confusions and mistakes. This article identifies some of these common "problem" areas and provides scoring examples to assist clinicians in learning the DSS procedure.

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