Growth Need Strength and Context Satisfactions as Moderators of the Relations of the Job Characteristics Model

1992 ◽  
Vol 18 (3) ◽  
pp. 575-593 ◽  
Author(s):  
Robert B. Tiegs ◽  
Lois E. Tetrick ◽  
Yitzhak Fried
Keyword(s):  
Statistical Power ◽  
Job Characteristics ◽  
Job Security ◽  
Small Sample ◽  
Work Outcomes ◽  
Moderating Effects ◽  
Psychological States ◽  
Job Characteristics Model ◽  
Small Sample Sizes ◽  
Overall Job Satisfaction

Empirical investigations of the job characteristics model (JCM; Hackman & Oldham, 1980) have failed to systematically explore the moderating effects of growth need strength (GNS) and context satisfactions (viz., pay, job security, co-worker, and supervision) on the relations among the core job characteristics, critical psychological states, and work outcomes. Previous studies also are criticized for the use of subgroup analytic techniques, low statistical power resulting from small sample sizes (i.e, often less than 200) and/or samples consisting of individuals of relatively homogeneous jobs/occupations. As an attempt to address these deficiencies in the literature, this study examined the moderating effects of GNS and each of the four context satisfactions using a large sample (N = 6405) of employees from a variety of jobs and occupations. Overall, the results of univariate and multivariate hierarchical moderated multiple regression analyses suggest that none of thefive individual difference factors appeared to be viable moderators of any of the relations among job characteristics, psychological states, and three work outcomes (viz., growth satisfaction, overall job satisfaction, and internal motivation). Also, there was no supportive evidence for potential joint moderating effects between GNS and each context satisfaction on the relations of the JCM.

Mediating and Moderating Effects in Job Design

1992 ◽  
Vol 18 (4) ◽  
pp. 657-676 ◽  
Author(s):  
Gary Johns ◽  
Jia Lin Xie ◽  
Yongqing Fang
Keyword(s):  
Personal Characteristics ◽  
Job Characteristics ◽  
Job Design ◽  
Questionnaire Data ◽  
Moderating Effects ◽  
Psychological States ◽  
Moderator Effects ◽  
Job Characteristics Model ◽  
Reward Contingencies ◽  
The Relationship

A test of the complete Job Characteristics Model (Hackman & Oldham, 1976, 1980) was conducted, with particular emphasis on the little-investigated mediating and moderating effects specified by the model. Three hundred lower level managers provided questionnaire data. Results indicated that the model's psychological states generally mediated the relationship between job characteristics and outcomes. However; the correspondence between the job characteristics and the states was not precisely that specified by the model, all states were not needed to predict most outcomes, and common method variance was a concern. Moderator effects due to personal characteristics, context satisfaction, and petformance-reward contingencies were observed at several locations in the model, a number in an opposite direction from that predicted by the model.

scholarly journals A review of research on the Job Characteristics Model and the attendant job diagnostic survey

2001 ◽  
Vol 32 (1) ◽  
pp. 11-34 ◽  
Author(s):  
Billy Boonzaier ◽  
Bernhard Ficker ◽  
Braam Rust
Keyword(s):  
Empirical Support ◽  
Job Characteristics ◽  
Mediating Effect ◽  
Self Report ◽  
Work Outcomes ◽  
Future Research ◽  
Conceptual Tool ◽  
Psychological States ◽  
Job Characteristics Model ◽  
Job Diagnostic Survey

The Job Characteristics Model is widely accepted as a conceptual tool for addressing problems related to employee demotivation, dissatisfaction and marginal performance. The validity of the Job Characteristics Model (Hackman & Oldham, 1980) was assessed by reviewing relevant studies of the model. The review and evaluation is based on studies which test the variables and the relationships between variables as contained in the model. The evidence confirms that the dimensionality of the job characteristics is best represented by the five-factor solution as proposed by the model. The subjective self-report measures of the five job characteristics as formulated by the theory and measured by the revised Job Diagnostic Survey (JDS) are also supported. No evidence was found for the multiplicative Motivating Potential Score (MPS) and as a result the use of a simple additive index of job complexity is recommended as predictor of personal and work outcomes. Strong empirical support exists for the relationships between the job characteristics and the personal outcomes. Strong relationships between the job characteristics and the work outcomes, however, fail to materialize. Results fail to support the mediating effect of psychological states on the job characteristics/outcomes relationships as specified by the model. The postulated relationships between job characteristics and psychological states are also not confirmed by empirical evidence. The role of growth-need strength, knowledge and skill, and work environment characteristics as moderators of the relationships between job characteristics and psychological states, as well as the relationships between psychological states and personal and work outcomes, are seriously questioned. Directions for future research on the Job Characteristics Model and the attendant Job Diagnostic Survey are proposed.

scholarly journals G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Florent Le Borgne ◽  
Arthur Chatton ◽  
Maxime Léger ◽  
Rémi Lenain ◽  
Yohann Foucher
Keyword(s):  
Machine Learning ◽  
Support Vector Machine ◽  
Statistical Power ◽  
Small Sample ◽  
Causal Effects ◽  
Small Samples ◽  
Support Vector ◽  
Sample Sizes ◽  
Super Learner ◽  
Small Sample Sizes

AbstractIn clinical research, there is a growing interest in the use of propensity score-based methods to estimate causal effects. G-computation is an alternative because of its high statistical power. Machine learning is also increasingly used because of its possible robustness to model misspecification. In this paper, we aimed to propose an approach that combines machine learning and G-computation when both the outcome and the exposure status are binary and is able to deal with small samples. We evaluated the performances of several methods, including penalized logistic regressions, a neural network, a support vector machine, boosted classification and regression trees, and a super learner through simulations. We proposed six different scenarios characterised by various sample sizes, numbers of covariates and relationships between covariates, exposure statuses, and outcomes. We have also illustrated the application of these methods, in which they were used to estimate the efficacy of barbiturates prescribed during the first 24 h of an episode of intracranial hypertension. In the context of GC, for estimating the individual outcome probabilities in two counterfactual worlds, we reported that the super learner tended to outperform the other approaches in terms of both bias and variance, especially for small sample sizes. The support vector machine performed well, but its mean bias was slightly higher than that of the super learner. In the investigated scenarios, G-computation associated with the super learner was a performant method for drawing causal inferences, even from small sample sizes.

scholarly journals Using the job characteristics model to compare patient care assignment methods of nurses

2004 ◽  
Vol 10 (3) ◽  
pp. 389-405
Author(s):  
A. H. Mohamed
Keyword(s):  
Patient Care ◽  
Job Characteristics ◽  
Functional Method ◽  
University Hospital ◽  
Individual Growth ◽  
Psychological States ◽  
Job Characteristics Model ◽  
Nurses Perceptions ◽  
Job Diagnostic Survey ◽  
Intensive Care Unit Nurses

The aim of this study was to use Hackman and Oldman’s job characteristics model to compare 2 methods of patient care assignment as perceived by nurses in 12 inpatient units of Alexandria Main University Hospital. The job diagnostic survey was used to determine nurses’ perceptions toward the components of the model in relation to their performance in utilizing the case and functional methods of patient care assignment. The jobs of intensive care unit nurses who utilized the case method were more enriched than those who utilized the functional method of assignment in the general care units, in terms of their perception scores towards all parts of the model [core job characteristics, critical psychological states, affective and personal outcomes, context satisfaction and individual growth-need strength]

Distinguishing autism from co-existing conditions: a behavioural profiling investigation

2016 ◽  
Vol 2 (1) ◽  
pp. 41-54
Author(s):  
Ashleigh Saunders ◽  
Karen E. Waldie
Keyword(s):  
Statistical Power ◽  
Psychiatric Comorbidity ◽  
Adaptive Functioning ◽  
Autism Spectrum ◽  
Small Sample ◽  
Comorbid Conditions ◽  
Sample Sizes ◽  
Content Type ◽  
Small Sample Sizes ◽  
Comorbid Adhd

Purpose – Autism spectrum disorder (ASD) is a lifelong neurodevelopmental condition for which there is no known cure. The rate of psychiatric comorbidity in autism is extremely high, which raises questions about the nature of the co-occurring symptoms. It is unclear whether these additional conditions are true comorbid conditions, or can simply be accounted for through the ASD diagnosis. The paper aims to discuss this issue. Design/methodology/approach – A number of questionnaires and a computer-based task were used in the current study. The authors asked the participants about symptoms of ASD, attention deficit hyperactivity disorder (ADHD) and anxiety, as well as overall adaptive functioning. Findings – The results demonstrate that each condition, in its pure form, can be clearly differentiated from one another (and from neurotypical controls). Further analyses revealed that when ASD occurs together with anxiety, anxiety appears to be a separate condition. In contrast, there is no clear behavioural profile for when ASD and ADHD co-occur. Research limitations/implications – First, due to small sample sizes, some analyses performed were targeted to specific groups (i.e. comparing ADHD, ASD to comorbid ADHD+ASD). Larger sample sizes would have given the statistical power to perform a full scale comparative analysis of all experimental groups when split by their comorbid conditions. Second, males were over-represented in the ASD group and females were over-represented in the anxiety group, due to the uneven gender balance in the prevalence of these conditions. Lastly, the main profiling techniques used were questionnaires. Clinical interviews would have been preferable, as they give a more objective account of behavioural difficulties. Practical implications – The rate of psychiatric comorbidity in autism is extremely high, which raises questions about the nature of the co-occurring symptoms. It is unclear whether these additional conditions are true comorbid conditions, or can simply be accounted for through the ASD diagnosis. Social implications – This information will be important, not only to healthcare practitioners when administering a diagnosis, but also to therapists who need to apply evidence-based treatment to comorbid and stand-alone conditions. Originality/value – This study is the first to investigate the nature of co-existing conditions in ASD in a New Zealand population.

The Identity Status Continuum Revisited

2018 ◽  
Vol 23 (4) ◽  
pp. 289-299 ◽  
Author(s):  
Wim Meeus
Keyword(s):  
Identity Development ◽  
Identity Formation ◽  
Statistical Power ◽  
Developmental Psychology ◽  
Meta Analysis ◽  
Small Sample ◽  
Identity Status ◽  
Identity Statuses ◽  
Identity Maintenance ◽  
Small Sample Sizes

Abstract. The developmental continuum of identity status has been a topic of theoretical debate since the early 1980’s. A recent meta-analysis and recent studies with dual cycle models lead to two conclusions: (1) during adolescence there is systematic identity maturation; (2) there are two continuums of identity status progression. Both continuums show that in general adolescents move from transient identity statuses to identity statuses that mark the relative endpoints of development: from diffusion to closure, and from searching moratorium and moratorium to closure and achievement. This pattern can be framed as development from identity formation to identity maintenance. In Identity Status Interview research using Marcia’s model, not the slightest indication for a continuum of identity development was found. This may be due to the small sample sizes of the various studies leading to small statistical power to detect differences in identity status transitions, as well as developmental inconsistencies in Marcia’s model. Findings from this review are interpreted in terms of life-span developmental psychology.

Job Satisfaction in EMS: A Different Approach

1990 ◽  
Vol 5 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Stephen R. Wirth
Keyword(s):  
Job Satisfaction ◽  
Work Motivation ◽  
Work Force ◽  
Job Characteristics ◽  
Critical Issue ◽  
Psychological States ◽  
And Performance ◽  
Job Diagnostic Survey ◽  
Job Longevity ◽  
Overall Job Satisfaction

AbstractThere has been limited organizational research applied to EMS, especially in the area of job satisfaction. In the midst of a general shortage of health care workers, effective recruitment and retention of a qualified and satisfied work force is a critical issue. The purpose of this study was to examine the factors and elements in the structure or “design” of the work of emergency medical technicians (EMTs) and paramedics that can create conditions for high levels of work motivation, satisfaction, and performance.A modified Job Diagnostic Survey was administered to a cross section of 102 paid and volunteer EMS personnel in Pennsylvania. The relationships between measured job characteristics, experienced psychological states, and job longevity on overall job satisfaction was examined.Significant positive relationships (p<.05) exist between a number of the job characteristic variables (such as task significance, autonomy, and job feedback) and job satisfaction. Job longevity did not have a significant relationship to job satisfaction. Volunteer EMS personnel experienced higher levels of job satisfaction than did paid providers.The results indicate that the EMT and paramedic perform complex jobs that have high levels of the characteristics that cause internal work motivation. Methods to increase the amount of these core job characteristics to improve overall job satisfaction are discussed.

Statistics for Small Groups: The Power of the Pretest

1988 ◽  
Vol 13 (3) ◽  
pp. 142-146 ◽  
Author(s):  
David A. Cole
Keyword(s):  
Statistical Power ◽  
Change Score ◽  
Small Sample ◽  
Analysis Of Covariance ◽  
Small Samples ◽  
Group Differences ◽  
Control Group ◽  
Small Sample Sizes ◽  
Almost All ◽  
Treatment Control Group

In the area of severe-profound retardation, researchers are faced with small sample sizes. The question of statistical power is critical. In this article, three commonly used tests for treatment-control group differences are compared with respect to their relative power: the posttest-only approach, the change-score approach, and an analysis of covariance (ANCOVA) approach. In almost all cases, the ANCOVA approach is the more powerful than the other two, even when very small samples are involved. Finally, a fourth approach involving ANCOVA plus alternate rank assignments is examined and found to be superior even to the ANCOVA approach, especially in small sample cases. Use of slightly more sophisticated statistics in small sample research is recommended.

scholarly journals The inheritance of metabolic flux: expressions for the within-sibship mean and variance given the parental genotypes.

Genetics ◽  
1990 ◽  
Vol 125 (3) ◽  
pp. 655-667
Author(s):  
P J Ward
Keyword(s):  
Statistical Power ◽  
Metabolic Flux ◽  
Genetic Variance ◽  
Small Sample ◽  
Polygenic Inheritance ◽  
Allozymic Variation ◽  
Recent Developments ◽  
Mean And Variance ◽  
Small Sample Sizes ◽  
Adequate Power

Abstract Recent developments have related quantitative trait expression to metabolic flux. The present paper investigates some implications of this for statistical aspects of polygenic inheritance. Expressions are derived for the within-sibship genetic mean and genetic variance of metabolic flux given a pair of parental, diploid, n-locus genotypes. These are exact and hold for arbitrary numbers of gene loci, arbitrary allelic values at each locus, and for arbitrary recombination fractions between adjacent gene loci. The within-sibship, genetic variance is seen to be simply a measure of parental heterozygosity plus a measure of the degree of linkage coupling within the parental genotypes. Approximations are given for the within-sibship phenotypic mean and variance of metabolic flux. These results are applied to the problem of attaining adequate statistical power in a test of association between allozymic variation and inter-individual variation in metabolic flux. Simulations indicate that statistical power can be greatly increased by augmenting the data with predictions and observations on progeny statistics in relation to parental allozyme genotypes. Adequate power may thus be attainable at small sample sizes, and when allozymic variation is scored at a only small fraction of the total set of loci whose catalytic products determine the flux.

Sign in / Sign up

Export Citation Format

Share Document