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      Early Family Experiences, Drug Use, and Psychosocial Adjustment across the Life Span: Is Parental Strictness Always a Protective Factor?

      , , , ,
      Psychosocial Intervention
      Colegio Oficial de la Psicologia de Madrid

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          Abstract

          ABSTRACT Objective: This study analyzes whether parental strictness, which is shared by authoritative parenting (strictness and warmth) and authoritarian parenting (strictness without warmth) styles, always acts as a main protective factor against drug use and psychosocial maladjustment in children. This conclusion has already been stated in numerous classic studies, though emergent research suggests that there are benefits to parental warmth regardless of whether strictness is present or not. Method: Sample were 2,095 Spanish participants (1,227 females, 58.6%), 581 adolescent children (aged 12-18 years, 27.7%) and 1,514 adult children (72.3%). The measures were the main parenting style dimensions (warmth and strictness), drug use, and a set of indicators of psychosocial adjustment. A 4 × 2 × 4 MANOVA was applied for all outcomes with parenting style, sex, and age as independent variables. Results: Indulgent parenting (warmth without strictness) was related to less drug use than parenting without warmth (authoritarian and neglectful). Additionally, indulgent and authoritative parenting styles were related to better scores on psychosocial adjustment than authoritarian and neglectful styles, although the indulgent parenting was the only style related to the optimal scores being equal or even more effective than the authoritative style. Conclusion: Contrary to classical studies, present findings suggest that it is the parental warmth instead of the parental strictness that seems to be effective in protecting against drug use and psychosocial maladjustment.

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          Most cited references148

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

            G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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              Society and the Adolescent Self-Image

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                Author and article information

                Journal
                Psychosocial Intervention
                Colegio Oficial de la Psicologia de Madrid
                1132-0559
                2173-4712
                August 11 2023
                August 11 2023
                2023
                2023
                August 11 2023
                August 11 2023
                2023
                2023
                : 000
                Article
                10.5093/pi2023a16
                fe252bfb-24bb-4ce7-be79-d857f3151636
                © 2023
                History

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