scholarly journals Psychometric models for scoring multiple reporter assessments: Applications to integrative data analysis in prevention science and beyond

2020 ◽  
Vol 45 (1) ◽  
pp. 40-50 ◽  
Author(s):  
Patrick J. Curran ◽  
A. R. Georgeson ◽  
Daniel J. Bauer ◽  
Andrea M. Hussong
Keyword(s):  
Data Analysis ◽  
Empirical Research ◽  
Real Data ◽  
Prevention Science ◽  
Prevention Research ◽  
Traditional Methods ◽  
Integrative Data Analysis ◽  
Research Results ◽  
Psychometric Models ◽  
Current Article

Conducting valid and reliable empirical research in the prevention sciences is an inherently difficult and challenging task. Chief among these is the need to obtain numerical scores of underlying theoretical constructs for use in subsequent analysis. This challenge is further exacerbated by the increasingly common need to consider multiple reporter assessments, particularly when using integrative data analysis to fit models to data that have been pooled across two or more independent samples. The current article uses both simulated and real data to examine the utility of a recently proposed psychometric model for multiple reporter data called the trifactor model (TFM) in settings that might be commonly found in prevention research. Results suggest that numerical scores obtained using the TFM are superior to more traditional methods, particularly when pooling samples that contribute different reporter perspectives.

scholarly journals Results of a Case Study on Information Technology at a University

1997 ◽  
Author(s):  
Winston Tellis
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Case Method ◽  
Research Project ◽  
Research Results ◽  
Case Research ◽  
Current Article ◽  
Goals And Objectives

In the first article in this series (Tellis, 1997a) the author presented the background on the history and importance of the use of the case method of research. The second article (Tellis, 1997b) presented a proposed methodology based on the literature and an application of the methodology in an information technology case. The current article will present a suggested format for reporting case research results. The article will review the goals and objectives of the research project and present various tables containing the results of the data analysis conducted for the project. The article will finally present conclusions drawn from the results, and what future researchers might wish to pursue.

Justifying the data analytical choice in single case research in relation to the expected data pattern

2019 ◽  
Author(s):  
Rumen Manolov
Keyword(s):  
Data Analysis ◽  
Visual Analysis ◽  
Multilevel Models ◽  
Single Case ◽  
Analytical Techniques ◽  
Real Data ◽  
Small Scale ◽  
Data User ◽  
Single Case Research ◽  
User Friendly

The lack of consensus regarding the most appropriate analytical techniques for single-case experimental designs data requires justifying the choice of any specific analytical option. The current text mentions some of the arguments, provided by methodologists and statisticians, in favor of several analytical techniques. Additionally, a small-scale literature review is performed in order to explore if and how applied researchers justify the analytical choices that they make. The review suggests that certain practices are not sufficiently explained. In order to improve the reporting regarding the data analytical decisions, it is proposed to choose and justify the data analytical approach prior to gathering the data. As a possible justification for data analysis plan, we propose using as a basis the expected the data pattern (specifically, the expectation about an improving baseline trend and about the immediate or progressive nature of the intervention effect). Although there are multiple alternatives for single-case data analysis, the current text focuses on visual analysis and multilevel models and illustrates an application of these analytical options with real data. User-friendly software is also developed.

KORELASI ANTARA KOMUNIKASI INTERPERSONAL DAN KECERDASAN EMOSI DENGAN MOTIVASI BERPRESTASI PADA SISWA KOMUNITAS HOME SCHOOLING BERKEMAS

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Wina Lova Riza
Keyword(s):  
Emotional Intelligence ◽  
Data Analysis ◽  
Correlation Coefficient ◽  
Interpersonal Communication ◽  
Achievement Motivation ◽  
Home Schooling ◽  
Sampling Technique ◽  
Positive Direction ◽  
Research Results ◽  
Multivariate Correlation

The purpose of this study was to determine the correlation between interpersonal communication and emotional intelligence with achievement motivation in packaged home schooling community students. The population in this study were 50 packaged home schooling community students, where the sampling technique was saturated sampling (census), because the population was the same as the sample. Based on the results of data analysis using multivariate correlation with the help of SPSS 15.0, research results obtained with a correlation coefficient of 0.657 with p <0.05, then H0 which states there is no correlation between interpersonal communication and emotional intelligence is rejected, while Ha which states there is a correlation between Interpersonal communication and emotional intelligence are accepted. Based on the description above it can be concluded that there is a significant correlation with the positive direction between interpersonal communication and emotional intelligence with achievement motivation in packaged home schooling community students. So, the better interpersonal communication and the higher the emotional intelligence will be followed by the higher achievement motivation Keywords: Interpersonal Communication, Emotional Inteligence, Achievemnet Motivation.   Tujuan penelitian ini adalah untuk mengetahui korelasi antara komunikasi interpersonal dan kecerdasan emosi dengan motivasi berprestasi pada siswa komunitas home schooling Berkemas. Populasi pada penelitian ini siswa komunitas home schooling berkemas yang berjumlah 50 orang, dimana tehnik pengambilan sampel adalah sampling jenuh (sensus), karena populasi sama dengan sampel. Berdasarkan hasil analisis data dengan menggunakan multivariate correlation dengan bantuan program SPSS 15.0 diperoleh hasil penelitian dengan koefisien korelasi sebesar 0,657 dengan p<0,05, maka H0 yang menyatakan tidak ada korelasi antara komunikasi interpersonal dan kecerdasan emosi ditolak, sedangkan Ha yang menyatakan ada korelasi antara komunikasi interpersonal dan kecerdasan emosi diterima. Berdasarkan uraian diatas dapat ditarik kesimpulan bahwa ada korelasi yang signifikan dengan arah positf antara komunikasi interpersonal dan kecerdasan emosi dengan motivasi berprestasi pada siswa komunitas home schooling Berkemas. Jadi, semakin baik komunikasi intepersonal dan semakin tinggi kecerdasan emosi akan diikuti dengan semakin tingginya motivasi berprestasi.   Kata Kunci: Komunikasi Interpersonal, Kecerdasan Emosional, Motivasi Berprestasi.

Integrative Data Analysis from a Unifying Research Synthesis Perspective

2018 ◽  
Author(s):  
Eun-Young Mun ◽  
Anne E. Ray
Keyword(s):  
Data Analysis ◽  
Large Scale ◽  
Research Synthesis ◽  
Alcohol Intervention ◽  
Data Set ◽  
Integrative Data Analysis ◽  
Level Data ◽  
Model Complex ◽  
Wide Range ◽  
Individual Participant

Integrative data analysis (IDA) is a promising new approach in psychological research and has been well received in the field of alcohol research. This chapter provides a larger unifying research synthesis framework for IDA. Major advantages of IDA of individual participant-level data include better and more flexible ways to examine subgroups, model complex relationships, deal with methodological and clinical heterogeneity, and examine infrequently occurring behaviors. However, between-study heterogeneity in measures, designs, and samples and systematic study-level missing data are significant barriers to IDA and, more broadly, to large-scale research synthesis. Based on the authors’ experience working on the Project INTEGRATE data set, which combined individual participant-level data from 24 independent college brief alcohol intervention studies, it is also recognized that IDA investigations require a wide range of expertise and considerable resources and that some minimum standards for reporting IDA studies may be needed to improve transparency and quality of evidence.

Accuracy and sensitivity of different Bayesian methods for genomic prediction using simulation and real data

2020 ◽  
Vol 19 (3) ◽  
Author(s):  
Saheb Foroutaifar
Keyword(s):  
Data Analysis ◽  
Bayesian Methods ◽  
Milk Fat ◽  
Prediction Accuracy ◽  
Real Data ◽  
Fat Percentage ◽  
Real Data Analysis ◽  
Wide Range ◽  
High Heritability ◽  
Qtl Effects

AbstractThe main objectives of this study were to compare the prediction accuracy of different Bayesian methods for traits with a wide range of genetic architecture using simulation and real data and to assess the sensitivity of these methods to the violation of their assumptions. For the simulation study, different scenarios were implemented based on two traits with low or high heritability and different numbers of QTL and the distribution of their effects. For real data analysis, a German Holstein dataset for milk fat percentage, milk yield, and somatic cell score was used. The simulation results showed that, with the exception of the Bayes R, the other methods were sensitive to changes in the number of QTLs and distribution of QTL effects. Having a distribution of QTL effects, similar to what different Bayesian methods assume for estimating marker effects, did not improve their prediction accuracy. The Bayes B method gave higher or equal accuracy rather than the rest. The real data analysis showed that similar to scenarios with a large number of QTLs in the simulation, there was no difference between the accuracies of the different methods for any of the traits.

scholarly journals MEASUREMENT PROPERTIES OF A STANDARDIZED ELICITED IMITATION TEST: AN INTEGRATIVE DATA ANALYSIS

2021 ◽  
pp. 1-27
Author(s):  
Daniel R. Isbell ◽  
Young-A Son
Keyword(s):  
Second Language ◽  
Data Analysis ◽  
Second Language Acquisition ◽  
Item Difficulty ◽  
Measurement Properties ◽  
Linguistic Features ◽  
Elicited Imitation ◽  
Integrative Data Analysis ◽  
Rater Severity ◽  
Study Participants

Abstract Elicited Imitation Tests (EITs) are commonly used in second language acquisition (SLA)/bilingualism research contexts to assess the general oral proficiency of study participants. While previous studies have provided valuable EIT construct-related validity evidence, some key gaps remain. This study uses an integrative data analysis to further probe the validity of the Korean EIT score interpretations by examining the performances of 318 Korean learners (198 second language, 79 foreign language, and 41 heritage) on the Korean EIT scored by five different raters. Expanding on previous EIT validation efforts, this study (a) examined both inter-rater reliability and differences in rater severity, (b) explored measurement bias across subpopulations of language learners, (c) identified relevant linguistic features which relate to item difficulty, and (d) provided a norm-referenced interpretation for Korean EIT scores. Overall, findings suggest that the Korean EIT can be used in diverse SLA/bilingualism research contexts, as it measures ability similarly across subgroups and raters.

Empirical Likelihood Testing for Longitudinal Varying Coefficient Models

2014 ◽  
Vol 518 ◽  
pp. 356-360
Author(s):  
Chang Qing Liu
Keyword(s):  
Data Analysis ◽  
Empirical Likelihood ◽  
Real Data ◽  
Likelihood Method ◽  
Varying Coefficient Models ◽  
Empirical Likelihood Method ◽  
Real Data Analysis ◽  
Varying Coefficient ◽  
Testing Method

By using the empirical likelihood method, a testing method is proposed for longitudinal varying coefficient models. Some simulations and a real data analysis are undertaken to investigate the power of the empirical likelihood based testing method.

Analysis of Female Implicates in the Video “Cara Kodein Cowok Biar Cepet Merid” by Last Day Production

2021 ◽  
Vol 1 (1) ◽  
pp. 14-20
Author(s):  
Hesti Nurlaeli
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Female Character ◽  
Note Taking ◽  
Female Characters ◽  
Pragmatic Theory ◽  
Research Results ◽  
Analysis Techniques ◽  
Qualitative Descriptive ◽  
Data Collection Technique

A speech can also lead to a description of the principles of conversation. This also happened in Las Day Production's video “Cara Kodein Cowok Biar Cepet Merid”. This research aims to find out and describe the female characters’ utterances or the implicit forms of the in the video "Cara Kodein Cowok Biar Cepet Merid" by Last Day Production. The approach in this research uses pragmatic and qualitative descriptive. The data collection technique in this study was using the note-taking technique. The data analysis techniques used in this study were data triangulation, theory triangulation, and source triangulation. Triangulation of data was generated by recording the speech of a female character in the video "Cara Kodein Cowok Biar Cepet Merid" by Last Day Production. The theory triangulation refers to pragmatic theory, while the source triangulation is the video "Cara Kodein Cowok Biar Cepet Merid" by Last Day Production, which is downloaded on YouTube. The research results in the video "Cara Kodein Cowok Biar Cepet Merid” have 8 stories of female characters that contain implicatures.

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