I want to explore if the amount of time (usage) spent on the Social Media IV1, with two levels , one is light and the other is heavy use, Iv2, body image with negative and positive levels, Iv3 self-esteem with levels of high and low, and my DV is sexual satisfaction. If these variables have an effect on sexual satisfaction and I need to determine my sample size! please send me if you can help me! SOS!
Hello Natalia,
You'll need to decide on what magnitude of effect (effect size, or ES) is worth detecting, should it actually exist. It is possible that the non-ignorable ES threshold is different for your three main effects as well as for interaction terms. Based on this, choose the smallest value (and whether that applies to a main effect (e.g., self-esteem) or to an interaction (e.g., time spent X body image).
Then, use G*Power to evaluate the recommended N, given the target ES, target power, target alpha level. All of your main effects have two levels, so the result you find for one applies equally to the tests for the others, assuming the same ES target. As well, all of your interactions involve 1 df each, so the result you obtain for one will apply equally to all (again, if you have the same target ES).
In G*Power, choose f-test "family", then "ANOVA: Fixed effects, special, main effects and interactions". The number of groups in each case (ignoring all other effects in the model) is 2.
If instead of that, you simply want to know, will all effects combine to explain some target proportion of variance in your DV, then you can use "Linear multiple regression: Fixed model, R-sqrd deviation from zero", with 7 "predictors" (effects).
Good luck with your work.
It is not clear if you are investigating sexual satisfaction on a gender basis (men vs women or individually).This can lead to a vast change in your outcome.
Sexuality, especially sexual intimacy (affective) is highly subjective as individuals or clusters (male or female or even LGBT) has different definitions and different functions.
The analysis of factors affecting sexual satisfaction regardless of for example the women sociocultural context, religious beliefs, and personal attitudes is undoubtedly inefficient, unscientific and irrational. This is problematic as you need to evaluate across your location of study (socio cultural context).
You could also look at qualitative studies or triangulation on sexual satisfaction on the understanding from gender perspective of sexual satisfaction based on their sociocultural contexts and you probably want to investigate different dimensions of sexual satisfaction in gay/straight men/women.
The aim(RO and RQ) of you study could be to explore affecting factors on sexual satisfaction based on an overview in scientific database. This needs to be clarified wit a strong research problem and theoretical underpinning. Within committed relationships, a wide range of factors may challenge or facilitate sexual satisfaction. The aim of your study must be to clarify which individual, partner, and partnership-related aspects of a sexual relationship are crucial for the prediction of sexual satisfaction. The study should included data of a representative sample of couples from the general population (e.g. . 1000 or more) to present a robust conclusion.
You may want to try using the the actor-partner interdependence model to estimate actor and partner effects. The calculate the overall predictors to explain % of outcome variance. Actor effects could be an important factor for sexual function, sexual distress, frequency of sexual activity, desire discrepancy, sexual initiative, sexual communication, sociosexual orientation, masturbation, and life satisfaction. While gender-specific partner effects might not be highly significant in these types of studies (sexual function and sexual distress), neither age, nor relationship duration are also significant predictors.
Outcomes such as sexual satisfaction has a very important role in creating marital satisfaction and any defect in sexual satisfaction is significantly associated with risky sexual behaviors, serious mental illness, social crimes and ultimately divorce.
The main objective of your study is to demystify sexual satisfaction and to clarify which aspects of a sexual relationship contribute most to satisfying sexual lives within your population.
Previous research on sexual satisfaction is that most predictors, such as sexual communication or sexual function have been examined in relative isolation, without taking other possible predictors into consideration.
To overcome limitations of previous studies that used convenience samples, restricted their sample to certain age groups or target populations or investigated certain predictor variables in isolation. To investigate the relative significance of different of sexuality-related factors of sexual satisfaction, you may want to include wide ranging predictors, namely sexual function and distress, frequency of sexual activities alone or with a partner as well as sexual desire discrepancy, sexual communication, and sociosexual attitudes. These factors can be employed to estimate the relevance of personal sexual attitudes and solitary sexual behaviors in comparison to factors that require a sexual partner. In addition to these sexuality related factors, you may want to included life satisfaction to control for a more general well-being, and other predictors (i.e., passage of time, household income) included to control for and to investigate their relevance for sexual satisfaction on an exploratory basis. Good luck.
Check these papers
Brysbaert M. (2019). How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables. Journal of cognition, 2(1), 16. https://doi.org/10.5334/joc.72
Power Analysis, Sample Size, and Assessment of Statistical Assumptions—Improving the Evidential Value of Lighting Research: J. Uttley
Statistical power for the two-factor repeated measures ANOVA : Patrick J. Potvin & Robert W. Schutz
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