Psychoanalytic research: Progress and process: Bridging the gap between psychoanalytic research and practice: How, when and why?

2008 ◽  
Author(s):  
Patrick Luyten ◽  
Sidney J. Blatt ◽  
Jozef Corveleyn
Keyword(s):  
Research Progress ◽  
Research And Practice

A critical review of research and practice in data-driven learning (DDL) in the academic writing classroom

2018 ◽  
Vol 23 (3) ◽  
pp. 335-369 ◽  
Author(s):  
Meilin Chen ◽  
John Flowerdew
Keyword(s):  
Academic Writing ◽  
Critical Review ◽  
Teaching And Learning ◽  
Empirical Studies ◽  
Language Education ◽  
English For Academic Purposes ◽  
Data Driven ◽  
Research Progress ◽  
Research And Practice ◽  
Year 2000

Abstract Since the late 1980s, there has been a growing interest in the direct application of corpora, or data-driven learning (DDL), in language education. This relatively novel teaching approach has been particularly applied in the teaching and learning of English for Academic Purposes (EAP)/academic writing, especially since the turn of the century. This paper synthesizes and evaluates the research progress in the field of EAP/academic writing since the year 2000 by critically reviewing 37 empirical studies focussing on applications of DDL in this context. Based on the critical review and a discussion of some contentious issues, a set of five recommendations for the way forward in DDL research and practice for EAP/academic writing is presented.

Not at Imminent Risk

Crisis ◽  
2015 ◽  
Vol 36 (6) ◽  
pp. 459-463
Author(s):  
Kate Monaghan ◽  
Martin Harris
Keyword(s):  
Early Intervention ◽  
Suicidal Ideation ◽  
Intervention Strategies ◽  
Group Method ◽  
Narrative Approach ◽  
Complex Issue ◽  
Research And Practice ◽  
Client Group ◽  
Types Of Information ◽  
Imminent Risk

Abstract. Background: Suicide is a pervasive and complex issue that can challenge counselors through the course of their careers. Research and practice focus heavily on crisis management and imminent risk rather than early intervention strategies. Early intervention strategies can assist counselors working with clients who have suicidal ideation, but are not at imminent risk, or with clients whose risk factors identify them as having a stronger trajectory for suicidal ideation. Aims: This systematic literature review examines the current literature on working with clients with suicidal ideation who are not at imminent risk, to ascertain the types of information and strategies available to counselors working with this client group. Method: An initial 622 articles were identified for analysis and from these 24 were included in the final review, which was synthesized using a narrative approach. Results: Results indicate that research into early intervention strategies is extremely limited. Conclusion: It was possible to describe emergent themes and practice guidelines to assist counselors working with clients with suicidal ideation but not at imminent risk.

Determinants of Interrater Reliability of Job Analysis: A Meta-analysis

2002 ◽  
Vol 18 (1) ◽  
pp. 52-62 ◽  
Author(s):  
Olga F. Voskuijl ◽  
Tjarda van Sliedregt
Keyword(s):  
Data Collection ◽  
Interrater Reliability ◽  
Meta Analysis ◽  
Job Analysis ◽  
Job Descriptions ◽  
Job Description ◽  
Research And Practice ◽  
Descriptive Information ◽  
Interrater Reliability Coefficients ◽  
Reliability Coefficients

Summary: This paper presents a meta-analysis of published job analysis interrater reliability data in order to predict the expected levels of interrater reliability within specific combinations of moderators, such as rater source, experience of the rater, and type of job descriptive information. The overall mean interrater reliability of 91 reliability coefficients reported in the literature was .59. The results of experienced professionals (job analysts) showed the highest reliability coefficients (.76). The method of data collection (job contact versus job description) only affected the results of experienced job analysts. For this group higher interrater reliability coefficients were obtained for analyses based on job contact (.87) than for those based on job descriptions (.71). For other rater categories (e.g., students, organization members) neither the method of data collection nor training had a significant effect on the interrater reliability. Analyses based on scales with defined levels resulted in significantly higher interrater reliability coefficients than analyses based on scales with undefined levels. Behavior and job worth dimensions were rated more reliable (.62 and .60, respectively) than attributes and tasks (.49 and .29, respectively). Furthermore, the results indicated that if nonprofessional raters are used (e.g., incumbents or students), at least two to four raters are required to obtain a reliability coefficient of .80. These findings have implications for research and practice.

Which Data to Meta-Analyze, and How?

2019 ◽  
Vol 227 (1) ◽  
pp. 64-82 ◽  
Author(s):  
Martin Voracek ◽  
Michael Kossmeier ◽  
Ulrich S. Tran
Keyword(s):  
Empirical Research ◽  
Meta Analysis ◽  
Curve Analysis ◽  
Research Progress ◽  
Primary Data ◽  
Statistical Procedures ◽  
Graphical Displays ◽  
Primary Data Analysis ◽  
Meta Analyses ◽  
Data Analytic

Abstract. Which data to analyze, and how, are fundamental questions of all empirical research. As there are always numerous flexibilities in data-analytic decisions (a “garden of forking paths”), this poses perennial problems to all empirical research. Specification-curve analysis and multiverse analysis have recently been proposed as solutions to these issues. Building on the structural analogies between primary data analysis and meta-analysis, we transform and adapt these approaches to the meta-analytic level, in tandem with combinatorial meta-analysis. We explain the rationale of this idea, suggest descriptive and inferential statistical procedures, as well as graphical displays, provide code for meta-analytic practitioners to generate and use these, and present a fully worked real example from digit ratio (2D:4D) research, totaling 1,592 meta-analytic specifications. Specification-curve and multiverse meta-analysis holds promise to resolve conflicting meta-analyses, contested evidence, controversial empirical literatures, and polarized research, and to mitigate the associated detrimental effects of these phenomena on research progress.

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