scholarly journals Exploring Individual Differences in Response to Reading Intervention: Data from Project KIDS (Kids and Individual Differences in Schools).

2021 ◽  
Author(s):  
Wilhelmina van Dijk ◽  
Cynthia Ulysse Norris ◽  
Chris Schatschneider ◽  
Stephanie Al Otaiba ◽  
Sara Ann Hart
Keyword(s):  
Individual Differences ◽  
Reading Instruction ◽  
Hierarchical Linear Modeling ◽  
Data Repository ◽  
Linear Modeling ◽  
Online Data ◽  
Parent Survey ◽  
Response To Instruction ◽  
Achievement Data ◽  
Data Analytic

This manuscript provides information on datasets pertaining to Project KIDS. Datasets include behavioral and achievement data for over 4,000 elementary-age students participating in nine randomized control trials of reading instruction and intervention between 2005-2011, and information on home environments of a subset of 442 collected via parent survey in 2013. All data is currently stored on an online data repository and freely available. Data might be of interest to researchers interested in individual differences in reading development and response to instruction and intervention, as well as to instructors of data analytic methods such as hierarchical linear modeling and psychometrics.

scholarly journals Associations Between Daily Positive Communication and Sexual Desire and Satisfaction: A Comparison Between Traditional Analyses and Machine Learning

2021 ◽  
Author(s):  
Christine Leistner ◽  
Laura Marika Vowels ◽  
Matthew J Vowels ◽  
Kristen Mark
Keyword(s):  
Machine Learning ◽  
Relationship Satisfaction ◽  
Sexual Satisfaction ◽  
Hierarchical Linear Modeling ◽  
Sexual Desire ◽  
Communication Strategies ◽  
Linear Modeling ◽  
Positive Communication ◽  
The Individual ◽  
Data Analytic

Communication is an important component of many healthy sexual and romantic relationships. Positive communication strategies including expressing fondness and affection, exchanging compliments, and disclosing information about oneself with a partner are associated with relationship and sexual satisfaction, but less is known about its association to sexual desire. Most of the current literature has used traditional statistical analyses that assume errors are normally distributed and that associations between variables are linear. Our study aimed to examine the ways daily levels of four positive communication strategies are associated with relationship satisfaction, sexual satisfaction, and sexual desire among 246 mixed sex couples (N = 492). We also compared traditional hierarchical linear modeling with machine learning to compare results from the different data analytic techniques. Findings indicated that daily positive communication received from a partner was associated with all outcome variables of interest that day for both partners in the couple. All positive communication strategies predicted daily levels of desire, sexual satisfaction, and relationship satisfaction for the individual and each had unique associations with partner outcomes. Unique nonlinear interactions were found using machine learning. Findings have implications for practitioners and provide insight into the differences in findings between traditional analyses and machine learning.

Literacy Learning Cohorts

2016 ◽  
Vol 83 (2) ◽  
pp. 143-164 ◽  
Author(s):  
Mary Brownell ◽  
Mary Theresa Kiely ◽  
Diane Haager ◽  
Alison Boardman ◽  
Nancy Corbett ◽  
...  
Keyword(s):  
Reading Instruction ◽  
Hierarchical Linear Modeling ◽  
Comparison Group ◽  
Literacy Learning ◽  
Instructional Time ◽  
Students With Learning Disabilities ◽  
Word Study ◽  
Linear Modeling ◽  
Word Attack ◽  
Decoding Efficiency

Two professional development (PD) models for teachers were compared on teacher and student outcomes. Special education teachers participated in Literacy Learning Cohorts (LLC), a PD innovation designed to improve content and pedagogical knowledge for providing reading instruction to upper elementary students with learning disabilities. The LLC, based on Desimone’s (2009) framework, included 2 days of initial PD with follow-up meetings, coaching, and video self-analysis. A comparison group received only 2 days of PD. Results of independent t tests and analyses of covariance indicated that LLC teachers demonstrated significant change in instructional time allotted to, and quality of, word study and fluency instruction. LLC teachers also made significantly greater gains on the fluency knowledge measure as compared with the comparison group, but they did not differ in word study knowledge. Hierarchical linear modeling analyses showed that students of LLC teachers made significantly greater gains on word attack skills and decoding efficiency than did students of teachers in the comparison group.

scholarly journals Individual Differences in Eye-Movements During Reading: Working Memory and Speed-of-Processing Effects

2012 ◽  
Vol 5 (1) ◽  
Author(s):  
Matthew J. Traxler ◽  
Clinton L. Johns ◽  
Debra L. Long ◽  
Megan Zirnstein ◽  
Kristen M. Tooley ◽  
...  
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Eye Movements ◽  
Hierarchical Linear Modeling ◽  
Processing Speed ◽  
Reading Speed ◽  
Working Memory Capacity ◽  
Movement Control ◽  
Memory Capacity ◽  
Linear Modeling

Mathematical models of eye-movement control do not yet incorporate individual differences as a source of variation in reading. These models nonetheless provide an excellent foundation for describing and explaining how and why patterns of eye-movements differ across readers (e.g., Rayner et al., 2006). We focus in this article on two aspects of individual variation: global processing speed (e.g., Salthouse, 1996) and working-memory capacity (e.g., Just & Carpenter, 1992). Using Hierarchical Linear Modeling (HLM) (Raudenbush & Bryk, 2001), we tested the extent to which overall reading speed and working-memory capacity moderate the degree to which syntactic and semantic information affect fixation times. We found that working-memory capacity interacted with sentence-characteristic variables only when processing speed was not included in the model.

The Relationship Between Leader–Member Exchange and Employees’ Proactive Behaviors

2019 ◽  
Vol 18 (2) ◽  
pp. 106-111
Author(s):  
Fong-Yi Lai ◽  
Szu-Chi Lu ◽  
Cheng-Chen Lin ◽  
Yu-Chin Lee
Keyword(s):  
Hierarchical Linear Modeling ◽  
Future Research ◽  
Leader Member Exchange ◽  
Voice Behavior ◽  
Linear Modeling ◽  
Team Members ◽  
Member Exchange ◽  
Multi Temporal ◽  
The Relationship ◽  
Practical Implications

Abstract. The present study proposed that, unlike prior leader–member exchange (LMX) research which often implicitly assumed that each leader develops equal-quality relationships with their supervisors (leader’s LMX; LLX), every leader develops different relationships with their supervisors and, in turn, receive different amounts of resources. Moreover, these differentiated relationships with superiors will influence how leader–member relationship quality affects team members’ voice and creativity. We adopted a multi-temporal (three wave) and multi-source (leaders and employees) research design. Hypotheses were tested on a sample of 227 bank employees working in 52 departments. Results of the hierarchical linear modeling (HLM) analysis showed that LLX moderates the relationship between LMX and team members’ voice behavior and creative performance. Strengths, limitations, practical implications, and directions for future research are discussed.

Sign in / Sign up

Export Citation Format

Share Document