Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Causalita: Journal of Psycology Psikilogiya Journal
Bima Nanda Pratama
Unknown Affiliation
Health Professions Physics Public Health Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
HUBUNGAN SELF EFFICACY DENGAN WORK READINESS PADA MAHASISWA SEMESTER TINGKAT AKHIR STRATA SARJANA DI KOTA PADANG Bima Nanda Pratama; Nio, Suci Rahma; Dwatra, Free Dirga; Guspa, Anindra
CAUSALITA : Journal of Psychology Vol 1 No 3 (2023): CAUSALITA: Journal of Psychology
Publisher : CV. Causalita Dynamic Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62260/causalita.v1i3.43

Abstract

The aim of this research is to look at the relationship between self-efficacy and work readiness in final year undergraduate students in the city of Padang. This type of research is quantitative research with a population of final year undergraduate students in Padang City with a sample size of 272 students. The sampling technique used in this research was purposive random sampling. Using a Likert scale with 4 (four) answer choices, namely Strongly Agree (SS), Agree (S), Disagree (TS), Strongly Disagree (STS) with 30 question items from both variables. The analysis used is correlation product moment with a value of r=0.443 and a value of p=0.00 (p<0.05) with the meaning of Ha being accepted that there is a positive relationship between self-efficacy and work readiness in final semester undergraduate undergraduate students in the city of Padang.
Experimental Research Methods“Anava and Factorial Experiment Psychology Research Design” Bima Nanda Pratama; M. Luthfi Reza Putra; Nurhaliza
Psikologiya Journal Vol. 1 No. 1 (2024): PJ-MARET
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/rvbnnb40

Abstract

The experimental research method is an approach used to examine the effect of certain treatments on other variables under controlled conditions. In experiments, researchers manipulate a stimulus or treatment, then observe its impact on the variable under study. This research discusses experimental design and its purpose, including ANOVA and factorial experimental psychology research designs. Experimental design allows researchers to test hypotheses with well-defined steps before conducting experiments. There are several types of experimental designs, including pre-experimental, true experimental, factorial experimental, and quasi-experimental. Analysis of Variance (ANOVA) is a statistical method for comparing the means of several groups of data with respect to their variances. Factorial design involves the simultaneous manipulation of several factors to study the effect on the dependent variable. This study describes the characteristics, objectives, and types of factorial designs as well as their advantages and disadvantages. The experimental design and statistical analysis used help researchers understand and analyze data more comprehensively and objectively
Co-Authors Free Dirga Dwatra M. Luthfi Reza Putra Nurhaliza Suci Rahma Nio